This document discusses how location analytics can help healthcare providers improve patient care and lower costs. Key points include:
- Location analytics can help identify gaps in patient care and needs based on geographic distribution of patients.
- Visualizing patient and population health data geographically makes it easier to understand and address issues.
- Location analytics allows analyzing trends in diseases by location and comparing availability of services to population needs.
- Examples of how this could help with diabetes care by identifying locations with many diabetes patients and whether adequate facilities exist.
Top 5 Benefits of Data Analytics for Managers & Hotel Owners.pdfRevnomixSolutions
Data Analytics for managers helps in studying demand & customer behavior to boost revenue. Revnomix is a leading Hotel Data Analytics & Revenue Management Company. Visit https://www.revnomix.com/top-5-benefits-of-data-analytics-for-managers-hotel-owners/ to know more.
Defining the future role of client-side market research and insightsRay Poynter
The world is changing, we have more types of data, more suppliers of information, and business is moving at ever faster speeds. Client-side market research and insight teams need to adapt to these changes or they will become irrelevant. In this 30-minute session, Naoki Takahashi from Nissan will give a presentation on the issues and then Ray Poynter and Mr Takahashi will discuss the implications for client-side teams, before throwing the topic open to questions and suggestions from the audience.
Today there is a lot of buzz around customer experience. Many companies have realized that investments in customer experience improvement is important not just because it helps to boost the bottom lines of their businesses but because it takes at least 4 to 6 times more cost to acquire a new customer than to retain an existing customer.
Top 5 Benefits of Data Analytics for Managers & Hotel Owners.pdfRevnomixSolutions
Data Analytics for managers helps in studying demand & customer behavior to boost revenue. Revnomix is a leading Hotel Data Analytics & Revenue Management Company. Visit https://www.revnomix.com/top-5-benefits-of-data-analytics-for-managers-hotel-owners/ to know more.
Defining the future role of client-side market research and insightsRay Poynter
The world is changing, we have more types of data, more suppliers of information, and business is moving at ever faster speeds. Client-side market research and insight teams need to adapt to these changes or they will become irrelevant. In this 30-minute session, Naoki Takahashi from Nissan will give a presentation on the issues and then Ray Poynter and Mr Takahashi will discuss the implications for client-side teams, before throwing the topic open to questions and suggestions from the audience.
Today there is a lot of buzz around customer experience. Many companies have realized that investments in customer experience improvement is important not just because it helps to boost the bottom lines of their businesses but because it takes at least 4 to 6 times more cost to acquire a new customer than to retain an existing customer.
While the interests in analytics and resulting benefits are increasing by the day, some businesses are challenged by the complexity and confusion that analytics can generate.
Companies can get stuck trying to analyze all that’s possible and all that they could do through analytics, when they should be taking that next step of recognizing what’s important and what they should be doing — for their customers, stakeholders, and employees.
Discovering real business opportunities and achieving desired outcomes can be elusive.
Data analytics is a rapidly growing field that involves the extraction, analysis, and interpretation of data to provide meaningful insights and inform decision-making processes. With the increase in the amount of data generated every day, the demand for skilled data analysts is expected to continue to rise. In this article, we'll explore the future scope of data analytics and the importance of data analytics courses in Faridabad to help you understand why it's a promising career choice.
Strategic alignment with bi and ROI AffectFarooq Omar
Information is a key resource that empowers you to keep up or upgrade your market aggressiveness. Insight is in this manner progressively critical to your business. Here we attempt to ponder on the 'Vital' parameters of Intelligence which is the one of the most basic variables of authoritative development and to support in coherence. We have to realize the accompanying utilitarian segments to make an incentive out of it.
Strategic alignment with Bi and ROI AffectFarooq Omar
Information is a key resource that empowers you to keep up or upgrade your market aggressiveness. Insight is in this manner progressively critical to your business. Here we attempt to ponder on the 'Vital' parameters of Intelligence which is the one of the most basic variables of authoritative development and to support in coherence. We have to realize the accompanying utilitarian segments to make an incentive out of it.
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
This is the first lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
Machine Learning for Business - Eight Best Practices for Getting StartedBhupesh Chaurasia
Though the term machine learning has become very visible in
the popular press over the past few years—making it appear to be the newest shiny object—the technology has actually been
in use for decades. In fact, machine learning algorithms such as decision trees are already in use by many organizations for predictive analytics.
Read the section from pages 314 to 317.1. Create a chart like th.docxangelicar11
Read the section from pages 314 to 317.
1. Create a chart like the one on page 314/317 that shows important events and features of the various occupations of Baghdad
2. How does the Turks' treatment of the Persians compare with the Mongols' treatment of the Russians?
3. Why was Anatolia so vulnerable to attack by the Persians and then the Seljuks?
4. Who was Malik Shah and why did he and other Seljuk rulers support the Persian intellectuals and artists?
5. Do you believe it is wise for rulers to place members of conquered peoples in position of government? Why or why not?
6. Provide two succinct paragraphs on your understanding of the Crusades.
7. Write two paragraphs comparing ways in which the different groups in this section interacted
.
Read the scenario below. Use the Internet to research the various .docxangelicar11
Read the scenario below. Use the Internet to research the various grant opportunities for outfitting emergency response units. Then, select two (2) funds that you would apply for based on the scenario. Provide a rationale for your selection.
Imagine that you are the director of homeland security for a state where several high-risk terrorism targets are located. There is a high probability of hazardous material incidents and you have identified credible threats associated with the emerging sovereign citizens’ movement. Your state agency is well prepared by having response units in place. However, you don’t have the funds to properly outfit all possible response units for each of the possible threats. Your agency is eligible to receive federal grant funds and you have been tasked with researching and writing the grant proposal.
Over the last few years, potential pandemics have gained increased attention among law enforcement professionals at both the state and local levels. As the top law enforcement official in your community, develop a reaction plan, which contains the first three (3) main procedures to maintain public orders if a pandemic occurred. Provide a rationale for your response.
.
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While the interests in analytics and resulting benefits are increasing by the day, some businesses are challenged by the complexity and confusion that analytics can generate.
Companies can get stuck trying to analyze all that’s possible and all that they could do through analytics, when they should be taking that next step of recognizing what’s important and what they should be doing — for their customers, stakeholders, and employees.
Discovering real business opportunities and achieving desired outcomes can be elusive.
Data analytics is a rapidly growing field that involves the extraction, analysis, and interpretation of data to provide meaningful insights and inform decision-making processes. With the increase in the amount of data generated every day, the demand for skilled data analysts is expected to continue to rise. In this article, we'll explore the future scope of data analytics and the importance of data analytics courses in Faridabad to help you understand why it's a promising career choice.
Strategic alignment with bi and ROI AffectFarooq Omar
Information is a key resource that empowers you to keep up or upgrade your market aggressiveness. Insight is in this manner progressively critical to your business. Here we attempt to ponder on the 'Vital' parameters of Intelligence which is the one of the most basic variables of authoritative development and to support in coherence. We have to realize the accompanying utilitarian segments to make an incentive out of it.
Strategic alignment with Bi and ROI AffectFarooq Omar
Information is a key resource that empowers you to keep up or upgrade your market aggressiveness. Insight is in this manner progressively critical to your business. Here we attempt to ponder on the 'Vital' parameters of Intelligence which is the one of the most basic variables of authoritative development and to support in coherence. We have to realize the accompanying utilitarian segments to make an incentive out of it.
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
This is the first lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
Machine Learning for Business - Eight Best Practices for Getting StartedBhupesh Chaurasia
Though the term machine learning has become very visible in
the popular press over the past few years—making it appear to be the newest shiny object—the technology has actually been
in use for decades. In fact, machine learning algorithms such as decision trees are already in use by many organizations for predictive analytics.
Read the section from pages 314 to 317.1. Create a chart like th.docxangelicar11
Read the section from pages 314 to 317.
1. Create a chart like the one on page 314/317 that shows important events and features of the various occupations of Baghdad
2. How does the Turks' treatment of the Persians compare with the Mongols' treatment of the Russians?
3. Why was Anatolia so vulnerable to attack by the Persians and then the Seljuks?
4. Who was Malik Shah and why did he and other Seljuk rulers support the Persian intellectuals and artists?
5. Do you believe it is wise for rulers to place members of conquered peoples in position of government? Why or why not?
6. Provide two succinct paragraphs on your understanding of the Crusades.
7. Write two paragraphs comparing ways in which the different groups in this section interacted
.
Read the scenario below. Use the Internet to research the various .docxangelicar11
Read the scenario below. Use the Internet to research the various grant opportunities for outfitting emergency response units. Then, select two (2) funds that you would apply for based on the scenario. Provide a rationale for your selection.
Imagine that you are the director of homeland security for a state where several high-risk terrorism targets are located. There is a high probability of hazardous material incidents and you have identified credible threats associated with the emerging sovereign citizens’ movement. Your state agency is well prepared by having response units in place. However, you don’t have the funds to properly outfit all possible response units for each of the possible threats. Your agency is eligible to receive federal grant funds and you have been tasked with researching and writing the grant proposal.
Over the last few years, potential pandemics have gained increased attention among law enforcement professionals at both the state and local levels. As the top law enforcement official in your community, develop a reaction plan, which contains the first three (3) main procedures to maintain public orders if a pandemic occurred. Provide a rationale for your response.
.
Read the scenario in Appendix E and the reading about the difference.docxangelicar11
Read the scenario in Appendix E and the reading about the differences in business message formats.
Create three messages, following the instructions in Appendix E.
Format the messages accordingly, choosing the correct audience for each message.
Post the completed messages as an attachment. (These do not have to be APA).
.
Read the scenario shown below and discussa. What stage of g.docxangelicar11
Read the scenario shown below and discuss:
a. What stage of group development was the group in?
b. What are the leader’s tasks in this stage?
c. Using Hersey and Blanchard’s Situational Leadership Theory, explain what style of ledership Ramila Zamora should have used given the current situation. Why?
Scenario for Question 4
Ramila Zamora looked forward to her recent promotion to management and was looking forward to her transfer within the large county hospital to another nursing unit. She was enthusiastic and hopeful about working together with other nurses to improve patient care through effective teamwork. She felt that she was well prepared to lead and supervise and was grateful for the opportunity.
Ms. Zamora was provided very little information about her predecessor and knew less about her subordinates. She was stymied and baffled about the behavior of the nursing staff during her first team meeting. Ms. Zamora introduced herself to the group and with what she thought was great enthusiasm, distributed her agenda and immediately began to delegate tasks to the team members. She noticed that three of the five members began to look at each other and roll their eyes. As she continued to read the list of responsibilities, designating team members to the various tasks, two members got up and began pouring coffee and speaking softly to each other. Ms. Zamora was exasperated. She told them that the meeting was over and that she did not want to take any more time away from their jobs then was necessary.
She returned to her new office feeling deflated and discouraged. She asked herself several questions. What went wrong? Why did the nursing staff treat her so rudely? Had she made a grave career mistake? What should she do?
.
Read the scenario and answer the questions that followBobby Y.docxangelicar11
Read the scenario and answer the questions that follow:
Bobby Yurkanin’s 84-year-old father had Alzheimer’s disease. For nearly nine years, Bobby lived with his father, meeting the elder Yurkanins’s needs 24 hours per day, seven days per week. In the years prior to his father’s diagnosis, Bobby had also cared for his mother through her struggle with terminal cancer. Friends describe Bobby as a dedicated caregiver who patiently helped his father through episodes of wandering, combativeness, sudden mood swings, and public disrobing.
Neighbors and friends reported occasionally hearing Bobby yell or curse at his father in frustration, but nobody had witnessed physical violence. Those familiar with the Yurkanin family history claim that Bobby, an only child, experienced a difficult and traumatic childhood. His father was an alcoholic who reportedly abused Bobby, his mother, and his grandmother. In addition, Bobby’s mother suffered frequent psychotic episodes related to a mental disorder. Bobby eventually left the tumultuous home, finished college, spent time in law school, and started a paralegal business. In the late 1990s Bobby returned home to care for his ailing mother. Following Mrs. Yurkanin’s death, Bobby and his father sold their New Jersey home and moved to a condominium in Ft. Lauderdale, Florida.
It was on a visit to a Florida beach that Bobby witnessed another episode of his father’s public disrobing. Although witness accounts vary, it appears that an exasperated Bobby dragged his father into waist deep water in an attempt to put his father’s shorts back on. The elder Yurkanin fought Bobby and during the struggle the 84-year-old man’s head went under water. Witnesses report that Bobby eventually pulled his father out of the water but are unsure whether or not Bobby (a skilled life guard) performed CPR once on the sand. However, many witnesses report that Bobby resisted any calls to 911 and refused an ambulance for his father.
The next day, Mr. Yurkanin was pronounced dead. An autopsy listed drowning as the cause of death. Several days later, Bobby was arrested on charges of first-degree murder.
Discuss this case in relation to elder abuse and neglect, parricide, eldercide, and the cycle of violence
.
Read the scenario below and complete what follows.Scenario.docxangelicar11
Read the scenario below and complete what follows.
Scenario
You just accepted a role as medical administrator at a podiatrist medical office. There are many responsibilities associated with this position including managing the office, patient registration, insurance verification/referrals, and scheduling following up appointments. As you navigate through your first day at work, the waiting room is full and a patient with a severe foot infection is seeking treatment without an appointment. As part of your new position and responsibilities, you will be required to review, assess, and participate in all medical administrative duties that will support this patient.
As the new medical administrator, you have will complete an encounter form of the new patient with a severe foot infection.
Complete the steps below:
Patients Information in EHR System
Describe the process for entering the patient's information in the Electronic Health Record. Summarize the importance of this process being accurate
Appointment Follow-up
Outline the steps for following-up with the patient after their appointment
Identify Patient Waiting Room Improvements
Outline improvements that should be made to the waiting room that help assist the patients
Describe Patient Relation Improvement Techniques and Policy Creation
Summarize the policies the office should have for patient's without appointments, managing patients' wait time, and registering patients
.
Read the scenario below. Then draft a 3–4 page business memorandum t.docxangelicar11
Read the scenario below. Then draft a 3–4 page business memorandum to Linda Hoff, Stanford's CFO. In your memo, codify your findings and interpretations from the horizontal and vertical analyses and the level of alignment between the company's fiscal management and its strategic direction. Include an Excel spreadsheet as an attachment to the memo. In this memo you will:
Review the year-over-year variances contained in the audited Stanford balance sheets and income statements, which are contained within the provided
Week 5 Assignment Spreadsheet [XLSX]
for fiscal years 2015 through 2018. You'll be expected to pay particular attention to the negative variances (color coded in "red") that
you believe
to be potentially the most impactful to Stanford.
Speculate as to the reasons for the negative variances.
Examine the common size balance sheets and income statements looking for abnormally low or high ratios based on what you know about the line item and what you observe in the data for the other fiscal years.
Look for patterns in the line items over time (2015 through 2018) and identify any unusual findings that may need to be examined further.
Make a judgement regarding the alignment of the organization's fiscal management with its strategic direction of the firm. Fiscal management is based on your horizontal and vertical analyses. The strategic direction is based on the vision, mission, and strategic priorities of Stanford.
Purpose
The purpose of this assignment is to familiarize you with financial statements, the need to align the financials with the strategic direction of the firm, and the process of performing a horizontal and vertical analysis of a company's balance sheets and income statements.
The Scenario
You're a Healthcare Administration Fellow at the prestigious Stanford Healthcare. You have been rotating through the various departments over the past 9 months and now you have the honor of working under the mentorship of Linda Hoff, Chief Financial Officer.
Stanford Medicine includes Stanford Healthcare, Stanford Children's Hospital, and Lucile Packard Children's Hospital Stanford. This organization uses an integrated approach to strategic planning, which incorporates jointly agreed upon strategic priorities from its various entities. It also ensures a high degree of congruency in strategic focus by each entity. Before outlining the strategic priorities for Stanford Medicine, it is important to take note that a firm's directional strategy is comprised on three separate yet interwoven components: vision, mission, and goals (or, in this case, priorities). Armed with this knowledge, you have taken the necessary step and located and familiarized yourself with the vision, mission, and priorities of Stanford Medicine. Below is what you found. When examining a company's financials, it is prudent to keep the directional strategy of the company in mind. After all, in order to advance many strategic priorities, which include fulfi.
Read the scenario below and complete the tasks that follow.S.docxangelicar11
Read the scenario below and complete the tasks that follow.
Scenario
You just accepted a role as medical administrator at a podiatrist medical office. There are many responsibilities associated with this position including managing the office, patient registration, insurance verification/referrals, and scheduling following up appointments. As you navigate through your first day at work, the waiting room is full and a patient with a severe foot infection is seeking treatment without an appointment. As part of your new position and responsibilities, you will be required to review, assess, and participate in all medical administrative duties that will support this patient.
As the new medical administrator, you have will complete an encounter form of the new patient with a severe foot infection.
Identify and summarize the steps for registering this patient by completing the encounter form as the patient and the registration form as the medical administrator, which includes verification of the patient insurance. HIPAA privacy rule should be adhered when registering the patient.
In order to successfully complete the Outpatient Encounter Form and the Patient Registration Form below, please use the information contained in the following document:
Patient and Outpatient Information
Patient Welcome/Managing Wait Time
In one page summarize how to greet the patient and manage the waiting room
Include a brief outline describing how to verify the patient's insurance
Outpatient Encounter Form
Complete this form as the medical administrator:
Outpatient Encounter Form
Patient Registration Form
Complete this form as the patient:
Patient Registration Form
Apply HIPAA rules when documenting patient information
Outline the five steps under the HIPAA privacy rule to ensure patient information is protected while registering the patient. The summary should follow the "Guidelines for Ensuring" patient privacy isn't breached in the reception area
.
read The Red Convertible by Louise Erdrich (page 126) Describe w.docxangelicar11
read The Red Convertible by Louise Erdrich (page 126)
Describe what the main characters are like and how we come to know them (by telling? by showing? by dialogue? By entering their minds? by the significance of their names?) Are they dynamic characters or static characters? To what extent does what we know about Henry depend on what we know about Lyman, and what difference does that make?
Why does Henry jump into the river? Does he intend to drown, or is it accidental? In what ways does he change in the story, and what things cause him to change?
.
read the project attached and write theFurther Reflection.docxangelicar11
read the project attached and write the:
**Further Reflection and Continuing Questions about My Action Research Journey
**Conclusion
im also going to attach a doc that you can use to follow guidelines and write the assignment. the part that is highlighted i yellow is the one that you need to choose as guide.
.
Read the ppt and answer the 3 questions below1.What was it a.docxangelicar11
Read the ppt and answer the 3 questions below
1.
What was it about the lecturer that you found most interesting?
2. What did you learn about their responsibilities or changes due to COVID that you did not know before their presentation?
3. If you were currently in their role, what would be the most challenging aspect of their responsibilities that you would have to face?
one full page
.
Read the poem, Mother to Son written by Langston Hughes.Look u.docxangelicar11
Read the poem, "Mother to Son" written by Langston Hughes.
Look up the following elements of analysis:(No sources are allowed):
1. Biography of poet
2. define the following:
apostrophe
free verse
3. What is the Theme of poem?
4. How did the poet develop the theme in the poem?
.
Read the poem The Love Song of J. Alfred Prufrock” by T.S. Eliot .docxangelicar11
Read the poem “The Love Song of J. Alfred Prufrock” by T.S. Eliot
1. How do the allusions and metaphors function here?
2. Fill the chart. What does that juxtaposition chart reveal to us about the speaker?
Statement of omniscience Statement of ambivalence
1. 1.
2. 2.
3. 3.
.
Read the patient case studies below. List 3 differential diagnos.docxangelicar11
Read the patient case studies below. List 3 differential diagnosis for each and why you believe these to be solid options that should be considered by the provider. Copy and paste the patient scenarios into a word document and use bullet points below each patient for your differential diagnosis, and then upload the assignment. Below is an example.
Patient X: 7-year-old Hispanic male with a cough and temperature of 99.9F
Differential Dx:
Allergic rhinitis
URI
Pneumonia
Patients
Patient 1:
28-year-old woman with opioid use disorder; uses IV heroin; has PTSD; no other medical problems or medications. She currently is single, lives with several roommates, and has a history of legal problems (with some jail time). Sexually active with men and women; inconsistent use of protection.
Patient 2:
70-year-old man with a history of CHF, COPD, and HTN; currently smokes one pack of cigarettes daily; takes Lisinopril, Digoxin, and Symbicort daily. Married to wife of 30 years and is retired (previously an accountant), is supported by adult children, and lives with his wife at home.
Patient 3:
40-year-old woman with a history of breast cancer that was successfully treated with Tamoxifen for several months. Otherwise healthy, with no other issues at this time. She is a successful businesswoman in a high-profile career with much stress. Married to wife of four years; relationship is rocky at times. Denies any substance use; travels frequently.
Symptoms are the same for all 3 patients:
Shortness of breath
Chest pain
Flank pain
Fever
Case Study Rubric
Note:
Scholarly resources are defined as evidence-based practice, peer-reviewed journals; textbook (do not rely solely on your textbook as a reference); and National Standard Guidelines. Review assignment instructions, as this will provide any additional requirements that are not specifically listed on the rubric.
Case Study Rubric – 100 PointsCriteriaExemplary
Exceeds ExpectationsAdvanced
Meets ExpectationsIntermediate
Needs ImprovementNovice
InadequateTotal PointsContent of Case StudyThe writer demonstrates a well-articulated understanding of the case study subject matter in a clear, complex, and informative manner. The case study content and theories are well developed and linked to the course content, assignment requirements, and practical experience. The case study includes relevant material that fulfills all objectives of the assignment.
Cites three or more references, using at least one new scholarly resource that was not provided in the course materials.
30 points
The writer demonstrates an understanding of the subject matter, and the components of the case study are accurately represented with evidence-based practice, ethics, theory, and/or role content. Course materials and scholarly resources are present to support required concepts. The paper includes relevant material that fulfills all objectives of the case study.
Cites two references.
26 points
The writer .
Read the passages below and write an essay that addresses the follow.docxangelicar11
Read the passages below and write an essay that addresses the following:
What is the position in each passage?
What evidence or reasons are given in support of each position?
Which position is more convincing and why?
Do no additional research on the topics other than using a dictionary. [NEW]
The Controversy: Does fracking contribute to global warming?
Passage 1. Pro: from "Fracking Contributes to Global Warming" by Louis W. Allstadt
The fracking that's going on right now is the real wake-up call on just what extreme lengths are
required to pull oil or gas out of the ground now that most of the conventional reservoirs have
been exploited—at least those that are easy to access.
First of all you have to look at what is conventional oil and gas. That was pretty much anything
that was produced until around 2000. It's basically a process of drilling down through a cap rock,
an impervious rock that has trapped oil and gas beneath it. And once you're into that reservoir—
which is really not a void, it’s porous rock—the natural pressure of the gas will push up the gas
and oil.
Now what's happened is that the prospect of finding more of those conventional reservoirs,
particularly on land and in the places that have been heavily explored like the US and Europe
and the Middle East just is very, very small. And the companies have pretty much acknowledged
that. All of them talk about the need to go to either nonconventional shale or tight sand drilling
or to go into deeper and deeper waters or to go into really hostile Arctic regions and possibly
Antarctic regions.
Both the horizontal drilling and fracturing have been around for a long time. The industry will
tell you this over and over again—they've been around for 60 years, things like that. That is
correct. What's different is the volume of fracking fluids and the volume of flowback that occurs
in these wells. It is 50 to 100 times more than what was used in the conventional wells.
The other [difference] is that the rock above the target zone is not necessarily impervious the
way it was in the conventional wells. And to me that last point is at least as big as the volume.
The industry will tell you that the mile or two between the zone that's being fracked is not going
to let anything come up.
But there are already cases where the methane gas has made it up into the aquifers and
atmosphere. Sometimes through old well bores, sometimes through natural fissures in the rock.
What we don't know is just how much gas is going to come up over time. It's a point most people
haven't gotten. It's not just what's happening today. We're opening up channels for the gas to
creep up to the surface and into the atmosphere. And methane is a much more potent greenhouse
gas in the short term—less than 100 years—than carbon dioxide.
Source Citation
Allstadt, Louis W. "Fracking Contributes to Global Warming."
Natural Gas
, edited by Dedria Bry.
Read the passage from Burning Bright” of Fahrenheit 451 which begin.docxangelicar11
Read the passage from “Burning Bright” of Fahrenheit 451 which begins “Half an hour later, cold, and moving carefully” and ends “Blackout. Silence. Darkness” carefully before you choose your answers.
Questions:
Montag is most powerfully affected by fire
Answer choices:
intensity
destructiveness
capriciousness
duality
unpredictability
The paragraph which begins “How long he stood” contains all of the following EXCEPT
hyperbole
metaphor
onomatopoeia
sensory imagery
From the two paragraphs which begin “There was a silence” and “And then voices began,” it can be inferred that the society from which Montag came is characterized by its
uncomfortable silences
philosophical discussions
mindless chatter
constant bickering
curiosity about the world
Granger’s first words and actions are characterized by
trepidation
civility
irony
pretense
joviality
The police decide to chase a scapegoat because
They think this will force Montag to turn himself in
Their commanding officers will not accept failure
The scapegoat actually poses a greater threat than Montag does
They know the Hound has the need to capture a victim
They want to sustain the attention of their viewing audience
.
Read the passage below and answer the questions that follow.Co.docxangelicar11
Read the passage below and answer the questions that follow.
Courage to Speak
“Any volunteers?” Ms. Chavez scanned the class. Ming slouched farther down in her seat. “Come on now, you’ll all have to interview someone sometime this year. No one wants to go first? Okay, I’ll just have to choose someone.” I am an ant, she won’t notice me, Ming thought. “Ming, why don’t you go first? Come on up and pick a name out of a hat.” Ms. Chavez shook the slips of paper around in the hat. Ming dragged herself up to the front of the room. She drew out a slip of paper.
“Mrs. Russo,” Ming whispered hoarsely.
“Great, the librarian! You’ll have a fine time interviewing her. Now just remember to ask her the questions we came up with, record her answers, and then you can present them next week.” Ms. Chavez cheered as Ming quickly returned to her seat.
Ming knew Mrs. Russo was very nice. She had helped Ming use the computer to find science articles last week. Ming knew she could interview Mrs. Russo. It was the class presentation afterward that she dreaded. Even back home in China, Ming had hated speaking in front of the class. Here in the United States, it was worse. She spoke slowly and with a thick accent. Ming sighed and packed up her books. She had a free period next, so she might as well get the interview part completed.
Ming found Mrs. Russo in the reference section of the library. “Hi, Ming!” Mrs. Russo said cheerfully. “Need more articles on chimpanzees this week?”
“No, I need to interview you,” Ming said quietly. She suddenly felt shy. Why had Mrs. Chavez given this assignment?
“Oh, an interview for what? The school paper?” Mrs. Russo asked.
“No. For Mrs. Chavez’s ESL class,” Ming whispered.
“Sure, ask away! I’ll just keep stacking these books if you don’t mind,” Mrs. Russo replied, turning to the shelves. Ming felt relieved. It was much easier to interview Mrs. Russo’s back.
“Are you American?” Ming asked.
“Yes… I mean, I was born in Argentina, but I moved here when I was 25. I became an American citizen. Most of my family still lives in Argentina. My husband and our children live here. I am like all Americans, multicultural,” Mrs. Russo laughed.
“Is English your first language?” Ming asked.
“No, Spanish is,” Mrs. Russo replied.
“What does the American Dream mean to you?” Ming asked.
“In Argentina, my husband and I couldn’t make enough money to support our family. We knew that we could in the United States. We also knew we’d have to give up being near our family. The American Dream is not perfect. It takes courage and sacrifices, but it is worth it.” Mrs. Russo turned to Ming. Ming smiled. It takes courage not to act like an ant. She understood why Ms. Chavez had given this assignment. She could find the courage to share what she had learned about Mrs. Russo in front of the class.
1. Why does Ming slouch down? (1 point)
She doesn't want to get chosen first.
She doesn.
Read the passage below and answer the 4 questions at the end. Do.docxangelicar11
Read the passage below and answer the 4 questions at the end.
Dorothy’s Way
IN THE CLASSIC STORY OF “THE WIZARD OF OZ,” DOROTHY ILLUSTRATES A NEW KIND OF LEADER. SHE INVITES HER FRIENDS ON A JOURNEY, HELPS THEM DISCOVER THEIR GIFTS, ENCOURAGES THEM AND WALKS WITH THEM RATHER THAN INSISTING ON BEING UP FRONT. SHE DOESN’T HAVE ALL THE ANSWERS, BUT SHE GETS THEM TO THEIR GOAL.
One of my favorite memories as a kid was watching the movie The Wizard of Oz on television. It came on every year. We would pop popcorn and sit around as a family watching Dorothy, the scarecrow, the tin man and the cowardly lion leave the munchkins in the Land of Oz and make their way to the Emerald City. I still enjoy the movie. It’s a classic.
Today, however, I watch it through a different lens. I sat with my own kids a few years ago and learned all kinds of new things from Dorothy—as I watched the film from a leadership perspective. (I know it sounds crazy, but I seem to find leadership principles in almost every movie I see, including Dumb and Dumber and Napoleon Dynamite!) This time, my leadership discovery came from a very ordinary girl from Kansas who would not claim to be a leader at all.
As I observe trends in our culture, it seems to me that there is a cry for a new kind of leader today. We have moved through various leadership styles over the last fifty years, and many of them can be seen in this classic movie. Reflect on the characters in the movie for a moment, and note the three kinds of leaders in it:
1. THE WICKED WITCH OF THE WEST
She has her cronies, but they follow because she forces them to do so. She leads from manipulation or coercion. In fact, when she melts, her followers celebrate.
2. THE WIZARD OF OZ
He is the all-powerful leader who leads through intimidation and superiority. He is all-wise and all-powerful—the kind of leader we all tend to imagine is the best one for the job.
3. DOROTHY
She is an unlikely leader who doesn’t have all the answers but invites her friends on a journey, helps them discover their gifts and walks with them rather than insisting on being up front.
At first glance, Dorothy appears all wrong as a model of leadership. I am certain she never felt like she was a leader. She doesn’t fit the gender stereotype, and she’s quite young. Instead of being a person who has all the solutions and knows exactly what to do next—she is herself on a journey, a seeker, often bewildered and vulnerable. Yet she is determined to get her team—made up of a scarecrow, a tin man and a cowardly lion—to the wizard, where they can find what they’re looking for. Armed with this resolve, she walks down the yellow brick road on a journey of discovery with her newfound friends. No one expects her to have all the answers. They don’t want a “sage on the stage,” but a “guide on the side” to help them reach their goal.
Let’s contrast Dorothy with the Great Wizard himself. Frequently, many of us avoid leadership positions because we hold an image of a leade.
Read the New Vice President case and respond to the following qu.docxangelicar11
Read the New Vice President case and respond to the following questions:
1. What is the major problem facing Treeholm?
2. What would you do if you were in her position?
3. Would a man have the same experience as Treeholm?
4. Are any of your predictions about her management style holding up?
250 WORDS
CASE 13
Selecting the New Vice President
Note:
Please read only those parts identified by your instructor. Do not read ahead.
Part A
When the new president at Mid-West U took over, it was only a short time before the incumbent vice president announced his resignation. Unfortunately, there was no one waiting in the wings, and a hiring freeze prevented a national search from commencing.
Many faculty leaders and former administrators suggested that the president appoint Jennifer Treeholm, Associate Vice President for Academic Affairs, as interim. She was an extremely popular person on campus and had ten years of experience in the role of associate vice president. She knew everyone and everything about the campus. Treeholm, they assured him, was the natural choice. Besides, she
deserved
the job. Her devotion to the school was unparalleled, and her energy knew no bounds. The new president, acting on advice from many campus leaders, appointed Treeholm as interim vice president for a term of up to three years. He also agreed that she could be a candidate for the permanent position when the hiring freeze was lifted.
Treeholm and her friends were ecstatic. It was high time more women moved into important positions on campus. They went out for dinner to their every-Friday-night watering hole to celebrate and reflect on Treeholm's career.
Except for a brief stint outside of academe, Treeholm's entire career had been at Mid-West U. She started out teaching introductory history, then, realizing she wanted to get on the tenure track, went back to school and earned her Ph.D. at Metropolitan U while continuing to teach at Mid-West. Upon completion of her degree, she was appointed as an assistant professor and eventually earned the rank of associate based on her popularity and excellent teaching.
Treeholm was well liked, and she devoted her entire life, it seemed, to Mid-West, helping to form the first union, getting grants, writing skits for the faculty club's annual follies, and going out of her way to befriend everyone who needed support.
Eventually, Treeholm was elected president of the faculty senate. After serving for two years, she was offered the position of associate vice president. During her ten years as associate vice president, she handled most of the academic complaints, oversaw several committees, wrote almost all of the letters and reports for the vice president, and was even known to run personal errands for the president. People just knew they could count on her.
Part B
Treeholm's appointment as interim vice president was met with great enthusiasm. Finally the school was getting someone who was “one of their own,” a perso.
Read the Nicaeno-Constantinopolitan Creed statement (I believe in on.docxangelicar11
Read the Nicaeno-Constantinopolitan Creed statement (I believe in one God, the Father almighty, maker of heaven and earth.....)
1. [contextualize] How are they a reflection of the time and culture which produced them? (Its author)
2. [evaluate] What were the implications of these beliefs and values during the Middle Ages?
3. [compare] How do the beliefs and values of these cultures compare to your own?
.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Read the paper titled Improving Patient Care and the Bottom Line .docx
1. Read the paper titled “Improving Patient Care and the Bottom
Line with Location Analytics” Page 8-12 only (Not all the
whole document)
And address the following in 500 words (in two pages
regular/Standard Margin):
Section 1 - Overview / summary of the reading - this may
include:
· What are the key points?
· What was learned?
· What are the most important issues?
· Why is it important (or not)?
Section 2 - Your reaction and wider implications - this may
include:
· What do you agree/disagree with and why?
· What critiques do you have?
· What additional things do you want to learn?
· What questions does this reading raise?
· What related examples have you found or observed in the real-
world?
· Links to other relevant materials (websites, videos, etc.)
Enrich your Data with
Location Analytics
Sponsored By: §.sas
PAGE 2
2. Table of Contents:
Page 3 The Future of Location Analytics:
Q&A with Tapan Patel and Murali Nori of SAS
Page 8 Improving Patient Care and the Bottom Line with
Location
Analytics
Page 13 Location Analytics Use Case: Connected Vehicles
Page 16 Enhancing Your BI Systems with Location Analytics:
The SAS® Vision
Page 18 Location and Insight in the Age of the Internet of
Things
Page 21 The Value of In-House Alliances in Adopting Location
Analytics
Page 24 How Spatial Analysis Leads to Insight
Page 28 Prescriptive Analytics Project Delivering Big
Dividends at UPS
Page 31 Pokémon GO and Monetizing the Massive Value of
Geolocation Data
PAGE 3
Sponsored by
The Future of Location
3. Analytics: Q&A with Tapan
Patel and Murali Nori of SAS
Nicole D’Angelo
1. Organizations are already collecting vast amounts of data
from a myriad of sources. Why should they add location data to
the analytical mix?
The most common uses of analytics and reporting are based on
business data. Location information doesn’t get much attention.
But all business has to happen somewhere. The Internet of
Things
has created connected cars, connected people, and analytics at
the edge, and this technology is making business rethink some
use
cases. Location will be an important aspect for these kinds of
things.
Driverless cars, Uber, drones—all are evolving, and real
technologies
and business models are being built around them. These all rely
on
location as an important facet, thus making location an
important
aspect of business analysis and business data that organizations
need to pay more attention to.
2. What business issues have you seen being solved by using
location analytics?
Some are covered above. Add to that, business scenarios
where location is a primary factor, such as property insurance
companies trying to determine the price of insurance based
on location, healthcare organizations trying to understand the
types of services needed based on the demographic data of a
4. city or location, or new transportation companies, like Uber and
Lyft, analyzing and
understanding the use of their services.
3. What are some challenges organizations might face as they
begin implementing
processes and technology for analyzing location data?
Location information has specific requirements that are needed
to add it to business
intelligence or data visualization applications. For example, to
represent a bank on a
geographic map, you need latitude and longitude information.
To represent a region like a
zip code, county, state, or sales territory, you will need shape
files that are used to draw the
boundaries on a map.
Tapan Patel
Principal Product
Marketing Manager, SAS
Murali Nori
Senior Product
Manager, SAS
PAGE 4
The Future of Location Analytics: Q&A with Tapan Patel and
Murali Nori of SAS
Organizations need to plan to implement software tools that can
be used to geocode a
5. location to obtain latitude and longitude information and to
create the shape files necessary
to draw the shapes on maps. Getting the correct tools is the first
step to creating and
using location information in an organization. Going beyond the
collection, creation and
visualization of the location information on maps, the greater
value is in using this for analysis.
4. How can organizations overcome these challenges?
To get the best use of location analytics, organizations need to
have a good software
application that brings together business data, location-based
GIS data, and analytics in
a seamless and easy-to-use way. Another important step to
overcoming these challenges
and realizing the benefit of location analytics is to invest in
cultural change and training.
An informed and trained workforce will overcome the
challenges of adopting location
analytics. One good approach is to start with business use cases
that are useful to the
company and can be used to drive decisions.
5. Are special skill sets required to leverage location
information?
The skills required for using location analytics vary depending
on the role of a person
in the organization. Business managers and executives who are
receiving and using the
information may require less training. Those who are creating
reports, dashboards or special
analytics may need knowledge of analytics and an
understanding of the capabilities of
6. the application. For advanced GIS users and the creators of GIS
maps, more skills in that
direction are necessary.
6. In all areas of analytics, data cannot give the organization a
competitive advantage
unless you have a well-developed strategy for how you’re going
to use that data. How
can organizations best develop a strategy for using location
data?
Organizations using location data need to collect, access, and
prepare data, and updates
will depend on what type of use case they are trying to solve,
expected outcomes, and
the cost and effort necessary. At a basic level, the organization
will already have access
to the geographic definitions (e.g., geo-tagged social-media data
and latitude/longitude
to customer addresses) of the entities they are trying to analyze,
and they will need to
augment it with third-party external data sources like weather
data, crime statistics, or
consumer spending, and then integrate these different datasets.
For additional value, organizations should consider collecting
location data over time to
understand the movement of entities (e.g., customers and assets)
and array of new sources
(e.g., GPS, NFC and Beacons). In many cases, consumers are
voluntarily offering location-
aware data through their mobile devices, which provides much
more contextual depth. The
speed, scale, and complexity of these types of location data puts
a lot of demands on data
management technology, information architecture and available
7. skill sets. Finally, location
data may often include personally identifiable information, and
organizations must keep in
mind privacy and data protection regulations.
PAGE 5
The Future of Location Analytics: Q&A with Tapan Patel and
Murali Nori of SAS
7. How do organizations identify the right use cases for location
analytics?
Location analytics is applicable to all types of organizations in
different industries and, in
fact, it is also relevant to all functional units within an
organization. Hence, organizations
need to focus on projects or use cases that fulfill high-priority
requirements and deliver
the highest returns. Keep in mind data preparation challenges,
availability of skills and
competencies, and data privacy, security and ethics issues.
Organizations can take
advantage of location analytics to drive use cases in the
following (sample) categories:
• Grow business with proper site or channel selection: Expand
your market footprint,
capture the next generation of customers, and identify where
future growth is going to
come from by quickly finding and qualifying all potential new
locations or online channels.
• Improve customer experience or targeted marketing: Combine
8. geospatial location, ease of
access, context, and proximity to make relevant marketing
offers or improve experiences.
This enables marketers to proactively meet customer needs.
• Improve public services and government planning: Whether it
is responding to
emergency situations, alleviating traffic congestion, offering
social or public services to
needy families, or improving law enforcement, local, state, and
federal entities are prime
candidates for location analytics.
• Optimize business processes by adding and analyzing the
“where” dimension: Adding
the location context of assets—manufacturing, assembling,
logistics, distribution and
servicing—helps optimize businesses process and adds value for
organizations.
8. How can organizations ensure that they’re using the right
visual discovery tool to
gather insights from location analytics?
Once again, organizations should take into consideration their
use cases, types of users
and their skills, types of analyses being performed, level of
customization desired, and
current analytics maturity level. Select the right visual-
discovery and self-service analytics tools
to meet the needs of the following types of roles to realize the
value of location analytics:
• Business analysts who will benefit (not just) from easy access
to traditional insights, but
also from quickly and visually identifying opportunities or risks
9. from the “where” dimension
offered by location data, to augment their reports and
explorations. For example, how
can they recognize customer segments to pursue? How many
customers live within a
given distance of a specific store, and how long does it take
them to drive to it?
• Front-line staff and business users will benefit by adding
location context as they
receive interactive insights and can take action as part of their
operational tasks.
Similarly, line-of-business executives, in relevant use cases, can
better track and
understand business performance using location-specific
context.
• Data scientists can explore location data and use it as one of
several variables for creating
predictive models. Whether it is to optimally place future sites,
understand why
customers behave differently in different locations, or
effectively predict customers’ future
needs, location data can improve the yield from predictive
models for organizations.
PAGE 6
The Future of Location Analytics: Q&A with Tapan Patel and
Murali Nori of SAS
9. How will the use of location analytics transform common
approaches to business
intelligence, analytics, or big data? How does location analytics
10. add value to your
business intelligence and analytics initiatives?
At present, location analytics is primarily being used in a
traditional manner—to analyze
data in an interactive geo-map through reports, dashboards, or
explorations. But it needs
to go further. With new scenarios supported by digitalization,
mobility, and IoT, location-
dependent decision-making offers a lot more potential for
organizations of all stripes. They
need to go beyond just reporting items, events, or performance
across locations. More
value can be derived if location data can be correlated with
historical behavior or if location
data is used as a continuous variable in your analyses to predict
future outcomes. For
example, realize the impact of drive time and drive distance on
highlights or trends you are
trying to explore, determine optimal locations (e.g., of stores,
facilities, or service centers)
based on demographics and available resources, or combine
location data with analytical
techniques (e.g., clustering) to better segment customers in a
more useful and relevant
manner. Location analytics adds the “where” element to the
traditional set of business
intelligence and analytics questions, and allows for new insights
that you might have
missed or not thought of.
10. What industries benefit most from location analytics?
All industries benefit from location analytics because business
always happens somewhere!
Products and services are sold somewhere, though some
11. industries are affected more by
the product and services they sell in certain areas. Insurance for
the same size house will
be different based on its location, even in the same state. The
probability of hurricane
damage to a house on a beach is more than a house that is
inland. In the utility industry, for
example, Google Fiber efforts to estimate the cost of services in
a location depends on the
density of people and the technically oriented population in that
area. In the transportation
industry where Uber plays, pricing and profitability depends on
the availability of drivers
and the propensity of people to use Uber in a certain location.
11. What are the security and privacy concerns about location
information?
Security is an important point to consider and it varies for each
company and business use case.
In the case of connected people using data from smartphones,
smart watches, and fitness
tracking devices that track location and time of day for daily
activities, location information
should be very secure. If hacked, this can be a serious personal
security concern. On the
other hand, data that is summarized at higher levels—for
example, on the zip code, state,
or country level—may not be very sensitive from a security
point of view because no
individual is exposed.
The retail industry uses the concept of geo-fencing to send
promotions to customers when
they are within a specific store location. They detect your
12. location from your phone and
send promotions via that phone. This is an example of an area
that is evolving, and not
many security guidelines or enforcements are in place.
PAGE 7
The Future of Location Analytics: Q&A with Tapan Patel and
Murali Nori of SAS
12. How does location intelligence benefit from IoT and
advance new business use cases?
IoT and drones will play an interesting role in enhancing
location-based analytics in the
future. IoT devices come in different sizes and capabilities, and
are assigned to an endpoint
like a person, machine or device. Because most of these tend to
collect data from a specific
location they become valuable data sources. More important is
the volume of data that IoT
devices send out.
Consider a smartphone as an example of an IoT device. Look at
the data sent by an exercise
app from a smartphone as someone runs. At the end of the run,
the app provides the route
of the trail on a map as well as other stats like time, calories
burned, distance, and speed.
The app can summarize the data to provide stats for a week or
month.
An IoT device deployed in a car can track the route, speed, and
driving habits of the driver.
13. This provides information on the daily commute of a driver and
time spent in car, allowing
appropriate products to be promoted. Driving habits like
braking and acceleration enable
warranty analysts to estimate wear and tear on the car.
Insurance companies can use the
Tapan Patel is Principal Product Marketing Manager at SAS.
With more than 15 years in the
enterprise software market, he leads global marketing efforts at
SAS for Business Intelligence,
Predictive Analytics, and In-memory Analytics. More
specifically, he leads go-to-market
initiatives for Visual Analytics and Visual Statistics product
lines.
Murali Nori is Senior Product Manager at SAS. He has worked
in Business Intelligence (BI)
technologies for 14 years. Murali is very passionate about BI
and believes in how it can
transform big and small businesses from chaos to smarter
organizations. He enjoys his
role and the opportunity to work with customers, sales
organizations, and R&D to build
the product roadmap and influence product direction that can
solve customer problems.
Murali’s focus is on SAS® Visual Analytics, location analytics,
mobile BI and big data analysis.
PAGE 8
Sponsored by
14. Improving Patient Care and
the Bottom Line with Location
Analytics
by Murali Nori
Better health care at lower costs, for everyone – how do health
care providers get there?
Understanding the gaps in patient care, patient needs, and the
geographic distribution of
the patient population are important elements to consider when
making decisions about
improving the quality of care and reducing its costs.
To effectively analyze gaps in patient care, the data needs to be
in a single place or system.
However, in many organizations, data is spread across a myriad
of spreadsheets and
database systems. Data not organized for visual exploration and
coherent analysis isn’t
useful for decision making. Hence the need for visually
appealing and scalable analytical
tools to help organizations be more efficient, effective and
economically successful.
Visualizing patient data geographically is the first step to
understanding gaps in patient
care. We can use analytics to understand the likelihood of
different diseases in different
locations based on historical data, demographic data and
lifestyle trends. Analytics can
also help organizations understand the gaps between the needs
of the population and
the services available in its location. Providers and
administrators can forecast trends in the
cost and quality of care and understand differences across
15. populations. Visualizing these
data points makes it easy for users with different skills and
backgrounds to understand and
grasp the data.
In today’s world, people constantly move across different
regions, states or countries for
social and economic opportunities. Health care providers need
to have tools to understand
the changes in the population mix and to predict the trends more
quickly compared to a
few months, a few years, or a decade back. Using location-
based analytics, one can visualize
the changes in population composition and health to understand
their needs.
One example is diabetes care. According to the American
Diabetes Association, almost 29
million Americans have diabetes and 86 million have pre-
diabetes. Nearly $322 billion is
spent on treating their diabetes and pre-diabetes, and for every
$5 spent on health care, $1
goes toward diabetes treatment. (See Figure 1.) These data
points lead to many questions,
like the following:
• Where are the most people with diabetes located?
• Are there adequate medical facilities there?
PAGE 9
Improving Patient Care and the Bottom Line with Location
Analytics
16. • In each location, how many people actively participate in
diabetes education and
management?
• In each location, what is the mix of population with Type 1
and Type 2 diabetes?
• With demographic data and lifestyle data combined, what else
can we learn from analysis?
• Are different ages affected by diabetes in different parts of the
country?
Figure 1: Diabetes Costs from the American Diabetes
Association
PAGE 10
Improving Patient Care and the Bottom Line with Location
Analytics
Some of these questions can be answered using location
information that is mapped for
data visualization. In Figure 2, from the Centers for Disease
Control and Prevention (CDC),
you can see the US trends in obesity over time and its relation
to the increase in diabetes
among its population.
Adding location context to the analysis can provide better
analysis of the problem and can
lead to diagnosis and management of diabetes at an early stage,
which can significantly
17. reduce the overall cost for diabetes care. Better care in the early
stages of diabetes
can reduce the chances of the disease progressing, including
more serious medical
complications like dialysis and amputation.
The real value of gathering location information comes from
analyzing it in combination
with business or operational data. Analyzing location
information in combination with
business information, demographic information, and social
media information provides a
more complete picture. Reports from SAS® Visual Analytics
are shown in Figures 3 and 4.
In Figure 3, the prevalence of diabetes over time can be
visualized at the county level in
the US. We can also use population data, income, incidents,
etc., to get a complete picture.
Using the drop-down control on the top left, we can select
different states to see the data
for any given state or county. In this example, the seamless
interactions between the map
and the business data is critical to realizing the value of the
location data.
Figure 2: Diabetes Trends in US Adults from the Centers for
Disease Control and Prevention
PAGE 11
Improving Patient Care and the Bottom Line with Location
Analytics
18. When a hospital chain plans to provide diabetes-related
services, they can determine the
likely number of patients in and around the location, as well as
the types of services needed
for different severities of the disease. This helps them size the
staff and facility accordingly,
which helps eliminate unwanted fixed and variable costs. They
can filter or drill down to a
county, zip code, city or town level that works for their
scenario. Hospitals can understand
the trends in the location so they can plan for the future as well.
Understanding the lifestyle behaviors in a given area, trends by
age, and demographics is
important in the treatment of diabetes. The next step is using
location data combined with
self-service analytics like regression, forecasting and clustering.
Figures 5 illustrates how data can be analyzed using distance
variables, like drive-by-
distance and drive-by-time analytics. In this case, the location
information is visualized on
the map, and clustering analysis is performed using the data
points selected on the map.
Figure 3: The Number of Men and Women with Diabetes by
County in the US
Figure 4: Obesity Visualized Using a Geo Map
PAGE 12
Improving Patient Care and the Bottom Line with Location
Analytics
19. The polygon on the map illustrates the drive time (for example,
10 minutes) from a specific
location selected on the map.
All the data points within the polygon are used by the cluster
analysis and visualized in the
charts beside the map. It helps to group the data points to
understand both the patterns
and relationships. These types of analyses can help providers
understand the optimal type,
size and location of a health care facility, the services to offer,
and the specialty staffing that
will be required. These factors, in addition to others, will
determine the quality of care and
patient satisfaction at a given cost for a health care provider.
Today, location information is also obtained from wearable
devices like exercise trackers,
smartphones and smart watches. Many applications have been
developed to track a
person’s activity and exercise patterns. The location
information from these devices can
be added to overall demographic data to help health care
providers advise patients and
improve the quality of care.
Location analysis helps business analysts and managers
understand what happens and
where it happens. Combined with analytics, location
information becomes a powerful asset
in decision-
Figure 5 Using travel time and travel distance to identify area of
interest
20. PAGE 13
Sponsored by
Location Analytics Use Case:
Connected Vehicles
by Murali Nori
In a world of connected vehicles, using location information can
shape existing business
models and create new ones. Let’s look at a few emerging
business trends. First, consider
how ride sharing (with the emergence of companies like Uber
and Lyft) has reshaped the
taxi market space globally. Second, think of how cars and
trucks can record and transmit
data to understand driving behavior and vehicle conditions. This
provides information
about the state of the vehicle in context to its location and can
be used to analyze and
support location-based interactions as well as predictive
maintenance.
Analysts predict there will be more than 380 million connected
vehicles on our roads by 2021.
This opens exciting opportunities for the global automotive
industry, prompting automakers
to consider options for future success. However, traditional
approaches to data management
and analytics might not be sufficient to create and sustain value
in this new, connected world.
Figure 1 illustrates different scenarios for how location data can
play an important role in
21. business opportunities.
Connected vehicles - location plays an important role
Usage-based
insurance
Ride sharing
Warranty
analysis
Driverless cars
Route
optimization
Figure 1: Examples of how connected vehicles can use
streaming location information.
PAGE 14
Location Analytics Use Case: Connected Vehicles
Ride Sharing
In the case of ride sharing, providing the location of passengers
waiting for taxis and the
taxis that are available on maps is a good first step.
Understanding where and when more
people tend to need the services, and where they most likely
will be going, helps reduce
the time required to respond to a ride request. This provides
better service to customers
22. and leads to a more profitable and successful business. Location
analytics plays a big role in
the functioning and success of ride-sharing services.
Taxi companies and other ride-sharing ventures need location
data for all points of interest,
including tourist destinations, businesses and house addresses.
Based on the latitude and
longitude of waiting passengers, taxi drivers can find the most
optimal route for pick up
and drop off. Passengers looking for a taxi need the ability to
see where the available taxis
are, as well as details like the type of vehicle, the taxi number
and how long it will take for
the taxi to arrive.
Company analysts need to optimize the routes for different
traffic conditions, for the best
value to customers and for their own profitability. Drive-time
analysis plays a big role in
this optimization.
Connected Transportation
In the transportation industry, route analytics plays an
important role for truck drivers
and trucking companies. Delivering goods to customers in the
shortest amount of time,
and most economically, continues to be the most important goal.
Access to granular and
accurate location data is the foundational element required to
support this objective.
Location information of a truck can be combined with weather
data to plan the best
routes and understand wear and tear on a vehicle. In addition,
23. combining location data
with weather, altitude and other environmental factors results in
a better understanding
of sensor data patterns. And this data can be correlated with
warranty claims to help plan
and manage warranty and maintenance costs. Understanding
location and operating
conditions makes it possible to identify potential root causes of
quality issues and to predict
failures before they occur. With SAS Visual Analytics, you can
analyze the path of a truck on a
specified route along with altitude, speed, engine temperature
and RPMs. (See Figure 2.)
As the size of a truck increases, the cost of the truck increases
and a breakdown becomes
more expensive for the owner. A more analytical approach ties a
vehicle’s wear and tear
with the location and weather to help better plan maintenance of
the trucks.
Location information can also be combined with operational
systems to better plan the
delivery of goods. For example, knowing how many customers
are in a specific area can
help optimize delivery routes. Looking at the trends among the
customers for the types
of popular goods improves inventory planning so inventory can
be located closer to
consumer demand. Evaluating the net customer value can also
help plan the level of service
appropriate for a given area.
PAGE 15
24. Location Analytics Use Case: Connected Vehicles
Driverless Cars
In the near future, driverless cars will be on the roads, changing
the way people and goods
are moved. The entire car industry of the future will depend on
location analytics playing a
critical role in the development of new business models.
The emergence of smart devices, with high-performance
processing capabilities and
increased memory at lower costs, has had a significant impact
on development of driverless
cars. One component of the data is location of the vehicle. At
any given point, location, time
and speed becomes important to plan and guide the car. The
instrumentation of vehicles
creates the opportunity to collect real-time data, enabling real-
time scenario analysis, which
reduces the time required to make decisions.
Location information becomes a very important asset in the
future business models of ride
sharing, optimized delivery of consumer goods using
autonomous drones, and driverless
cars. For these business models, evolving the use of location-
based data is an essential
piece of this new connected vehicle wor
Figure 2: A truck’s trip analysis, including altitude, speed and
engine temperature, from SAS® Visual Analytics.
25. PAGE 16
Sponsored by
Enhancing Your BI Systems
with Location Analytics: The
SAS® Vision
Location data has long been a big portion of business data,
although it is rarely used
to analyze business metrics. Not many business analysts have
taken advantage of
incorporating location data into their analytical workflows.
Traditionally, location data has
been used solely for mapping and GIS purposes.
Most analytical workflows are focused on business data.
Organizations try to glean insights
from business data by using analytical algorithms to predict
trends. In many cases, these
analytical workflows and business intelligence (BI) systems are
silos and are not integrated.
Typical BI reports and dashboards contribute to one part of
business insights. Advanced
analytics, like forecasting and predictive analytics, add a second
layer and produce deeper
insights. A third dimension can be added to business insights by
using location information
and augmenting location data with demographic and lifestyle
data to better understand
everything from consumer purchasing patterns and habits to
trends in health care issues
like diabetes.
At SAS, we see location analytics as not just putting points on a
26. map. Rather, it’s part of
a much larger picture of using location context for analysis in
graphs, tables and visual
analytics. Presenting the results of predictive analytics along
with location data on maps
provides easy-to-understand visualizations and helps everyone
better understand their
business because most people find maps very easy to
comprehend.
Here is one example of how location data can be used to drive
downstream analysis. Imagine
you’re looking at sales data for different products, like shoes,
childrens’ clothes and toys.
Analysts can place the data on geographic maps to see where
customers are located. They
can produce geographic clusters of customers, find out where
the most profitable customers
reside, and create reports in BI systems that contain sales,
profits and other metrics. And,
analysts are able to select an area on a geo-map and use the data
points to perform further
analysis in their BI systems. The ability to use geo-maps to
produce ad-hoc visualizations and
analysis helps business managers identify customer patterns and
drill into more details of
the business.
Now let’s look at a different situation—how to use analytics to
create location-based
visualizations. Business managers always want to know
projections for the next quarter, the
next six months and the next year so they can plan their
resources and adjust expectations
accordingly. SAS enables you to do predictive analysis, like
forecasting of sales, and then
27. PAGE 17
Enhancing Your BI Systems with Location Analytics: The
SAS® Vision
use the forecasted results as visualizations on maps. This allows
business managers to
see and compare current data and predicted projections for the
future. By using location
information on maps, business managers can clearly see how
customer clusters are
changing over time and better plan distribution and logistics.
At SAS, we see location analytics as an extension of BI. We
like the idea of using location
data for mapping and driving downstream analysis, as well as
using analytics and location
information to drive mapping visualizations. Location analytics
provides yet another way for
business users to dig into data and get a visual understanding of
information to realize the
PAGE 18
Sponsored by
Location and Insight in the
Age of the Internet of Things
by Helen Thompson
28. Gartner once again put the Internet of Things (IoT) at the top of
its
annual hype cycle, meaning that Gartner believes that the IoT is
at
the peak of inflated expectations. As a result, naysayers have
drawn
their knives of negativity and are predicting the demise of the
IoT
due to a lack of a killer app for both businesses and consumers.
I believe this misses the point. The IoT isn’t about a thing; it’s
about
all things on the Internet. If the IoT truly is about only one
thing, then
that thing is the opportunity that is to be gained by data – real-
time
data streams in particular.
Look at all the IoT siblings that are on the hype cycle:
autonomous
vehicles, connected homes, wearables, advanced analytics, and
machine learning. All of
these involve billions of objects equipped with sensors that
continually throw off data. But
there is no value from the IoT without the ability to make
practical use of the data that is
continually created. Geographic data adds perspective and
identifies relationships between
data points that otherwise appear unrelated and unrelatable.
Mark Bonchek, Harvard’s first doctoral recipient on the topic of
social media way back
in 1997, explored an interesting concept in the Harvard
Business Review in May 2013:
little data. Big data is the information that is collected about
29. many people. Little data is
information we know about an individual.
Both big data and little data can be enhanced with location
information. Geographic
relationships can now be parametrized so that we can easily ask
questions that help us gain
real knowledge about customers as consumers and their habits
and needs.
Where: The Forgotten ‘W’
But how do we pinpoint that individual or smaller community to
provide context to the
ocean of big data? Geography can provide a where to the who,
what, why, and when that
we already have collected.
This is easier than it may seem. Every 21st century dataset and
transaction contains location
information – a customer address, the store location of a
purchase, counts of riders on mass
transit as they embark and disembark on their journeys.
Helen Thompson,
Director of Commercial
Marketing, Esri
http://www.gartner.com/newsroom/id/3114217
http://data-informed.com/you-dont-have-to-choose-between-big-
data-and-iot/
http://data-informed.com/data-lust-the-iot-and-the-quantified-
self/
http://data-informed.com/machine-learning-sees-defrauding-
with-the-trees/
30. https://hbr.org/2013/05/little-data-makes-big-data-mor/
PAGE 19
Location and Insight in the Age of the Internet of Things
Think about a shopping list. A few years ago, I had to scan the
weekly ads to find the
best prices for my shopping trip. Today, by opting in to a
store’s loyalty program, I am
provided offers each week based on purchases I’ve made
previously. The store knows
that I frequently buy apples and carrots, so it provides me with
a digital coupon for these
products. This is little data.
The store also can sift through the purchasing habits of others
who shop at the same
location as I do and also purchase apples and carrots. Maybe
the store discovers that a
majority of these people also purchase mangoes, and offers me a
coupon to buy mangoes,
too. This is big data.
Thanks to sensors, the store can use algorithms to predict how
many additional mangoes
might be purchased from this promotion and stocks the shelves
accordingly. This is insight
from big data and little data viewed through a geographic
context.
Providing Context by Connecting Data with Geography
A store can apply a geographic context inside the store during a
customer’s path to
31. purchase to drive improvements in customer experience and
engagement. It’s possible that
soon we not only will receive coupons for what the store
expects us to buy, but also will
receive reminders as we shop in the produce aisle. Perhaps we
will be given an alternative
to apples, together with a list of locally sourced ingredients that
are on sale and a recipe for
a meal. Not only do we save money, we have a better experience
too.
With knowledge of suppliers that is maintained throughout the
supply chain all the way to
the store, the grocer can substitute ingredients that might be at
risk of spoiling soon (those
apples are starting to get a little soft) or a higher-value
alternative (mangoes) that improves
profitability over my regularly purchased apple.
Providing a geographic context to data changes how
organizations see and use the data. It
also helps organizations gain better insight. Geographic context
can be provided through
location information that is as simple as a farm name, an
address, a GPS coordinate, the
owner or supplier name in a manifest, or the number of the
vehicle collecting the produce.
Systems with geographic context that feed analytics enable
enterprises to join data
between disparate systems. The little data approach to these
datasets – understanding the
where in all data – enables an understanding of the entire supply
chain in context.
32. Solution
s via Sensor
Today, sensors are capable of monitoring purchases of farm
fresh vegetables and
comparing customer preference by supplier and farm. Potential
out-of-stocks can be
identified, and comparable products can be sourced to respond
to market dynamics.
Operations can be streamlined and customer buying habits and
actions systematized
through machine-to-machine and data-to-data learning.
PAGE 20
Location and Insight in the Age of the Internet of Things
When unexpected events occur, like a supply chain interruption
or food contamination,
the same geographic context can be applied to minimize impact.
33. Sensors on refrigerated
trucks or cold storage facilities can identify failures that could
lead to human health risks.
Location-specific analysis and big/little data logic, enhanced
with geographic context and
connections, can optimize the response and mitigate future
issues.
Geographic context can help organizations identify all stores
where a potentially
contaminated product is sold, and other potential
contaminations associated with the
supplier or source location also can be analyzed. Local health
data can be sourced straight
from community agencies so past outbreaks or clusters can be
identified. Applying
geographic context supercharges the value and benefit of data
from sensor streams, static
Helen Thompson is Director of Commercial Marketing at Esri.
Over the past 20 years, Helen
has applied her entrepreneurial and technological passion to
create a better future through
geographically relevant decision making. Geographic context is
34. central to some of society’s
biggest opportunities and challenges, including climate change,
risk reduction, driverless cars,
3D technology, and global interconnections. Helen is a
recognized thought leader, keynote
speaker, and expert on spatial theory and location platforms,
using her knowledge to advance
the understanding and use of spatial technology in business and
society.
PAGE 21
Sponsored by
The Value of In-House
Alliances in Adopting
Location Analytics
by Michael Goldberg
Here’s what Cirque du Soleil knows about its typical ticket
buyers in North America: They are
between 35 to 55 years old. They live in households that earn
35. more than $100,000 per year.
Just over half (52 percent) are female. And most of them won’t
drive more than 60 minutes
to see a show.
That last data point is a critical one, said Axel Bedikyan,
director of marketing intelligence
and planning at Cirque du Soleil. The company sold 15 million
tickets in 2012, but there is a
big opportunity to grow: only 20 percent of North American
consumers have seen a Cirque
spectacle, in spite of broad market awareness. Bedikyan said his
company needs to be
smarter about making performances accessible to those
prospective customers.
Bedikyan was one of several speakers at the Esri Business
Summit, held in July in San Diego.
There, executives discussed the challenges involved in
implementing location analytics.
The biggest issue cited by Bedikyan, as well as by executives
from retailers like Starbucks
and Petco, was winning acceptance across their organizations
for what analytics can do.
This effort requires communicating with IT and business leaders
36. about the need to think
differently about the data they collect and analyze for decision-
making, like where to hold a
performance or where to build a new store.
For analytics champions inside an enterprise, “The magic does
come when you find a BI
or IT counterpart,” said Mark Smith, CEO and chief research
officer at Ventana Research,
during one of the sessions. It’s not enough for one business
group to be a service center for
another, Smith said, suggesting that such an arrangement would
inhibit adoption. A proof-
of-concept project to justify the ROI of analytics is a good
tactic to win support, he added.
Getting Others to Join the Analytics Circus
At Cirque du Soleil, Bedikyan said he has sought to build
alliances with marketers in the
different units of the global company. For example, he showed
his colleagues data that
correlated the three locations of recent performances in the
Dallas metropolitan area
with the drive times to the particular venues. The analysis
37. showed that a 2011 show at Dr.
Pepper Arena earned better results than a 2007 show at Fair
Park and a 2012 performance
at 500 Memorial Drive. The results matched demographic data
that showed the Dr. Pepper
location was a shorter drive for Cirque du Soleil’s typically
affluent audience, he said.
https://www.cirquedusoleil.com/
http://www.ventanaresearch.com/
PAGE 22
The Value of In-House Alliances in Adopting Location
Analytics
This kind of finding “provides a new hypothesis that we can go
and test” in other locations,
Bedikyan said.
Bedikyan said the goal of such projects is to breed analytics
champions within different
business units, especially among marketing professionals, and
he cited four factors to
38. successfully working with marketers:
1. Engage creatively with people who can become ambassadors
in the business units.
2. Understand drivers and barriers for them to using analytics.
There were people who
might be interested in adopting analytics but hesitated. “As we
went along, we came up
with ways to help them use it,” Bedikyan said.
3. Start small. He suggested concentrating on one or two
markets at first. Brainstorm with
colleagues working there, and then spread ideas based on their
experiences to other executives.
4. Get the analytics team staffed right to support the spread of
analytics capabilities.
“Quality is more important than quantity,” he said, adding that
he had hired a person
who has expertise in both marketing and geographic systems for
his team based at
headquarters in Montreal.
Bedikyan said his campaign would continue. “We are just
39. starting our journey. Three years ago,
we were blind. Today we are location aware,” he said. “We’re
making this information enterprise-
wide, if anyone from marketing or [other] executives wants to,
they can pull up an update.”
At Starbucks, BI Mixes with Location Analytics
Patrick O’Hagan, a demographer at Starbucks Coffee who leads
an analytics team, has taken
a similar collaboration path but through a different door.
O’Hagan has formed alliances
with colleagues in the BI department, and the resulting work
using Esri’s ArcGIS mapping
software has spread “map intelligence” to functions including
real estate, construction,
facilities and design. Business needs have driven adoption of
the tools, he said.
“I had a partner in IT, but we never got prioritized,” said
O’Hagan, strategy manager,
portfolio strategy and market planning at Starbucks. “It took me
working with a flexible
person in the BI team” to make progress, he said. They started
with small projects and
40. showed the results to others. And by working closely with BI
professionals, it enables the
practice of using location analytics to grow because colleagues
will see fresh opportunities
to use the tools.
“You have to mesh GIS with all the analytics as a company,” he
added.
Participants at the conference said having strong internal
partnerships is ideal for
effective adoption of analytics, and the lack of such
partnerships can stall efforts to build
momentum.
Shawn Hanna, the director of financial analysis and analytical
services at Petco, the pet
supplies retailer, uses location analytics in store site
selections—the company was featured
http://data-informed.com/data-driven-location-choices-drive-
latest-starbucks-surge/
PAGE 23
41. The Value of In-House Alliances in Adopting Location
Analytics
in a 2010 case study using the technology—and to analyze
merchandise sales by market
locations. Hanna said that his analytics organization, based in
the finance department at
Petco, was working with colleagues in marketing and the
company’s website to raise the
profile of location analytics.
“You can show where the flea and tick [product category] is
doing well this time of year,” he
said, while adding that his team is still working to build strong
partnerships.
Smith, of Ventana Research, said that there remains an
organizational inertia at many
enterprises when it comes to fields like location analytics.
“If you look at a broader context, organizations have a
conventional wisdom approach that
says ‘We’ve always done it that way. Dashboards and reports
make them prettier and it will
42. be fine.’ But it won’t be. Those are slower, and less satisfying
to customers,” Smith said. “We
have to continue to demonstrate there’s a better way of doing
Michael Goldberg is an independent journalist, writer, and
editor focusing on business
management and technology topics, including big data
analytics.
http://www.esri.com/library/articles/petco-case-study.pdf
PAGE 24
Sponsored by
How Spatial Analysis Leads
to Insight
by Linda Beale and Andy Mitchell
Spatial analysis is a process that starts by asking a question.
Getting the question right is
the key to working out what tools to use and what analysis to
43. employ toward deriving a
meaningful answer. Being able to better understand your data
should help you to make
appropriate decisions about your analysis –and anticipate how
your choices will affect
the results.
The web is now a source of vast amounts of data, and spatial
analysis offers the means by
which this data becomes valuable. As the value of analysis and
spatial data gains adoption,
methods and models for how to use analysis are becoming more
widely available. Academics,
professionals, communities, and individuals are all sharing their
analytical techniques. These
spatial data analysis practices cut across many disciplines. The
applications are endless, and
embracing a multidisciplinary approach to spatial analysis can
bring significant rewards.
Geographic information system (GIS) analysis helps you to
make informed decisions, but
it doesn’t make the decisions for you. Doing that requires your
expertise. For example, you
learn that multiscale web maps can require analysis to be done
44. at multiple scales since, for
many aggregated datasets, the results are only relevant for the
scale at which the analysis is
performed. You’ll also need to learn to interpret results
carefully – you should have an idea
of the expected results and carefully check the analysis if the
conclusions differ significantly.
As more communities see the power that analyzing their data
with location brings, GIS
technology is being pushed to new levels. Data from disparate
sources is being combined,
and new information is revealing new patterns and insights.
Even the concept of geographic
space is undergoing a challenge, as we map data using both
physical and social geographies.
Web maps bring spatial data and the notion of spatial analysis
to everyone. The idea that
location matters is no longer just the geographer’s doctrine; its
value has been widely
recognized and embraced. Geography matters.
How is Spatial Analysis Used?
Ask questions, derive answers
45. Spatial analysis is used by people around the world to derive
new information and make
informed decisions. The organizations that use spatial analysis
in their work are wide-
ranging—local and state governments, national agencies,
businesses of all stripes, utility
companies, colleges and universities, NGOs—the list goes on.
Here are just a few examples.
PAGE 25
How Spatial Analysis Leads to Insight
Transportation: The Portland Bureau of Transportation uses
spatial analysis to reveal the
pattern of accidents and their relationship to traffic corridors.
Water quality: NOAA developed an analysis methodology that
uses land cover as an
indicator of water quality.
Public health: This series of maps shows mosquito hotspots
46. week by week. The information
helps East Flagler Mosquito Control District in Florida target
its suppression efforts.
https://pdx.maps.arcgis.com/home/signin.html?returnUrl=http%
3A//pdx.maps.arcgis.com/apps/MapSeries/index.html%3Fappid
%3D28c26c3acc604f2cba87aff0fe7f7b24
http://noaa.maps.arcgis.com/apps/MapSeries/index.html?appid=
e7eb6e9decb14c17a2fef4d36fee1714
https://www.arcgis.com/apps/MapSeries/index.html?appid=1d35
16dff91f46d09a4cb9693cbe4439&webmap=0ff4cb105a5f464ba9
c415d2937014ee
PAGE 26
How Spatial Analysis Leads to Insight
Urban planning: Kenton County, Kentucky, uses spatial analysis
to map walkability in
various communities and to identify gaps in sidewalk
connectivity.
Conservation: WWF mapped extreme weather events, rainfall,
and drought in Brazil over
47. three decades. The trends and patterns help identify areas for
future conservation projects.
Agriculture: This app from World Resources Institute lets
government agencies and private
companies find sites that are suitable for sustainable palm oil
production in Indonesia.
http://nkapc.maps.arcgis.com/apps/MapJournal/index.html?appi
d=45163688d3ed46f19a829c3a1496f557&webmap=4f03319a5da
e4e12bfff309dfc7ee9a2
http://panda.maps.arcgis.com/apps/MapSeries/index.html?appid
=d7e1af788d2741df86ef295e67fca182
http://www.globalforestwatch.org/map/3/15.00/27.00/ALL/grays
cale/loss,forestgain?begin=2001-01-01&end=2015-01-
01&threshold=30
PAGE 27
How Spatial Analysis Leads to Insight
Spatial Data and Spatial Analysis
Most data and measurements can be associated with locations
48. and, therefore, can be placed
on the map. Using spatial data you know both what is present
and where it is. The real
world can be represented as discrete data, stored by its exact
geographic location (called
“feature data”), or continuous data represented by regular grids
(called “raster data”). Of
course, the nature of what you’re analyzing influences how it is
best represented. The natural
environment (elevation, temperature, precipitation) is often
represented using raster grids;
whereas, the built environment (roads, buildings) and
administrative data (countries, census
areas) tend to be represented as vector data. Further information
that describes what is at
each location can be attached; these are often referred to as
“attributes.”
In GIS each dataset is managed
as a layer and can be graphically
combined using analytical
operators. By combining layers
using operators and displays, GIS
enables you to work with these
layers to explore questions and
49. find answers.
In addition to locational and
attribute information, spatial data
inherently contains geometric
and topological properties.
Geometric properties include
position and measurements, such
as length, direction, area, and
volume. Topological properties
represent spatial relationships
such as connectivity, inclusion,
and adjacency. Using these spatial
properties, you can ask even more
types of questions of your data
Excerpted from The ArcGIS Book: 10 Big Ideas about Applying
Geography to Your World,
Christian Harder, Editor. Copyright 2015 Esri. Reprinted with
permission.
The idea of stacking layers containing different kinds
of data and comparing them to each other based on
where things are located is the foundational concept of
50. spatial analysis. The layers are interlocking in the sense
that they are all locked to true geographic space. (Image
courtesy of NOAA).
http://learn.arcgis.com/en/arcgis-book/
PAGE 28
Sponsored by
Thomas Davenport
Prescriptive Analytics
Project Delivering Big
Dividends at UPS
by Thomas H. Davenport
I recently attended the 2016 INFORMS Conference on Business
Analytics and Operations Research in Orlando. INFORMS, the
Institute for Operations Research and the Management Sciences,
has historically had an Operations Research – that is,
optimization
of logistics and resources – focus, but the organization is slowly
51. branching out into other areas of analytics.
A hallmark of this annual conference is the awarding of the
Franz
Edelman Award, which recognizes excellence in Operations
Research
and analytics in the public and private sectors that changes the
involved organizations. I suspect that most readers have never
heard
of either Franz Edelman (who headed Operations Research at
the no-longer-with-us RCA
Corporation) or the award, but the Operations Research
community takes it very seriously.
I am somewhat marginal to the Operations Research gang – I
view it as just another type of
analytics. But the winners often set a great example for the rest
of the world.
That’s particularly true this year, when the winner was logistics
and parcel delivery company UPS
for its ORION project. ORION, an acronym that stands for On-
Road Integrated Optimization and
Navigation, is perhaps the largest commercial analytics project
ever undertaken. It required well
52. over a decade to build and roll out, and more than $250 million
of investment by UPS. At its
peak, over 700 UPSers were working on change management
and rollout of the system. So
the company clearly went all in on this project.
Because they won the award, you might guess that the company
is receiving something in
return for its investment and indeed it is. How about savings (in
driver productivity and fuel
economy) of between $300 and $400 million a year? How about
100 million fewer miles
driven and a resulting cut in carbon emissions of 100,000 metric
tons a year? You don’t see
those levels of benefits from an analytics project very often, and
these have been confirmed
through intensive measurement and reported to Wall Street
analysts.
https://www.pressroom.ups.com/pressroom/ContentDetailsView
er.page?ConceptType=Factsheets&id=1426321623549-553
https://www.pressroom.ups.com/pressroom/ContentDetailsView
er.page?ConceptType=Factsheets&id=1426321623549-553
http://data-informed.com/how-big-data-is-helping-to-tackle-
climate-change/
53. PAGE 29
Prescriptive Analytics Project Delivering Big Dividends at UPS
What does ORION do? It’s basically prescriptive analytics for
UPS’s 55,000 drivers in the United
States (the international rollouts will come soon). Instead of
following the same route every
day, ORION analyzes the packages to be delivered that day and
determines an optimal routing
for the “package cars.” The drivers are told where to go next by
their handheld computers.
You also may be wondering why ORION was so expensive and
took so long to roll out. There
are two fundamental reasons: maps and change management.
The optimization algorithm
itself was difficult to develop, but that aspect of the work paled
in comparison to the other
two components. UPS had to develop its own maps to ensure
that the drivers would be
directed to the right place every time and to the correct location
for package drop-off or
54. pickup. No commercially available maps could do that for the
250 million different locations
to which UPS delivers.
Secondly, imagine that you have to communicate and inculcate
a new way of performing
a core daily task to 55,000 workers. UPS devoted six days of
training and support to each
of the drivers. To their credit, most of the drivers wanted to
know how the system worked
before they would give up their time-honored routes, and so
considerable effort was
devoted to turning the “black box” algorithm into a “glass box.”
Most of the drivers were
enthusiastic about the new approach once they had experienced
it.
Jack Levis, the company’s Senior Director of Process
Management who also leads the
Operations Research and Advanced Analytics groups, led the
ORION project and cites six
factors as the reasons for ORION’s success:
• Education. Education about the system took place at every
level, from the CEO to drivers.
55. • Communication of the vision. Lots of effort went into
explaining how the system
would work and how it would add value.
• Support from the top. As an indication of this, UPS’s CEO,
David Abney, a former driver
himself, was present at the INFORMS conference and testified
to ORION’s value.
• Quick wins. ORION really involved a series of smaller
projects, each of which
brought benefits.
• Training and certification. These were a major component of
the staffing and expense
of the project, but absolutely necessary.
• Measurement. The project maintained a dashboard down to the
local district level
about how the rollout was proceeding and the benefits achieved
from adoption.
Of course, it didn’t hurt that UPS has a long history of
measurement and improvement
56. through industrial engineering. Many companies would have
had to change their cultures
in this direction before taking on a project like ORION, but
UPS already had it.
http://data-informed.com/future-big-data-prescriptive-analytics-
changes-game/
http://data-informed.com/transform-culture-realize-big-datas-
full-potential/
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Prescriptive Analytics Project Delivering Big Dividends at UPS
And the benefits from ORION are only just the beginning of
what UPS can realize. There
is, of course, the global rollout of these tools. And to maintain a
level of simplicity for
drivers, ORION only optimizes routes at the beginning of the
workday. More sophisticated
programs down the road could re-optimize during the day, take
traffic patterns into
account, and even get one driver to exchange packages with
another during their routes.
57. There aren’t many companies that have made bets on analytics
to this degree. When I
first began writing about them a decade ago, I referred to such
companies as “analytical
competitors.” When you invest in analytics at the level of
hundreds of millions of dollars –
and more importantly, deliver value at multiples of that sum –
it’s safe to assume that you
Tom Davenport, the author of several best-selling management
books on analytics and big
data, is the President’s Distinguished Professor of Information
Technology and Management
at Babson College, a Fellow of the MIT Initiative on the Digital
Economy, co-founder of the
International Institute for Analytics, and an independent senior
adviser to Deloitte Analytics.
He also is a member of the Data Informed Board of Advisers.
http://data-informed.com/data-informed-board-advisers/
PAGE 31
58. Sponsored by
Pokémon GO and Monetizing
the Massive Value of
Geolocation Data
by Anshu Prasad and Arpita Ghosal
Our abilities to collect and utilize geolocation
data are evolving rapidly. Put simply, geolocation
adds the “where” to the Internet of Things. Vast
amounts of data are being generated from
billions of location-aware sensors and Internet-
enabled devices, including smartphones and
tablets. This flood of new data, particularly
when combined with other forms of big data,
provides valuable information that can be
intelligently mined to deduce patterns and
uncover new insights.
This immense potential is driving the development of new
location-enabled products and
services to enhance customer experiences and create new
business opportunities.
59. Geolocation-enabled tools are just a part of an emerging
ecosystem of advanced analytics
tools. Fascinating new use cases are emerging regularly,
catalyzing business innovation and
prompting the development of new ways to monetize the value
they generate. However,
there are striking gaps between leaders and laggards in their
ability to capture this value.
Traditional companies operating on corporate timelines are
typically unable to manage the
pace of change required, let alone exploit or monetize it to
maximum advantage.
Pokémon GO
Nowhere is this more evident than in the recent Pokémon GO
phenomenon. This GPS-
powered smartphone game uses augmented reality to blend the
real and the digital
worlds and tasks players to locate creatures and treasures as
they navigate their physical
neighborhoods. Perhaps because of its massive popularity and
unprecedented adoption
rate – within the first week of launch, Pokémon GO had more
60. daily users than Twitter and
received more tweets than Brexit – the business world has been
slow to appreciate its
monetization value.
One key aspect to appreciate is the network effect as ecosystem
players beyond Niantic
(the game developer) and Nintendo (the company with
ownership rights to the characters)
Anshu Prasad Arpita Ghosal
http://data-informed.com/how-the-internet-of-things-changes-
big-data-analytics/
PAGE 32
Pokémon GO and Monetizing the Massive Value of Geolocation
Data
capture value from Pokémon GO’s runaway success. Of course,
Niantic is earning revenues
from in-app purchases and Nintendo from licensing and
collaboration fees. To underscore
61. the excitement the game has generated, Nintendo reported that
$7.5 billion had been
added to its market capitalization within a few days of the
game’s launch.
But it’s important to remember that Apple and Google also are
generating revenues from
their in-app marketing and sales as users continue to play the
game. Retail locations, bars,
and restaurants are trying to partner with Niantic to become
“real-life locations” in the
game and drive customer traffic to their businesses. There are
also indirect effects being
reported, with some players calling the game a disguised fitness
app and claiming to lose
as much as five pounds per week from the additional walking.
Add to this the potential for
game developers such as Niantic to open up new revenue
streams through sales of their
aggregated geolocation data to third parties interested in
personalized marketing, and
value creation possibilities expand considerably across the
broader ecosystem.
Apple’s in-app sales model provides another example to
62. appreciate the interdependence
and reciprocity that benefits both Apple and broader ecosystem
participants. In-app sales drive
revenues for partners by providing access to Apple’s loyal
customer base and a consistent
user experience. In turn, Apple benefits from ecosystem
partners providing its users a unique
and ever expanding assortment of books, games, music, media,
and storage services.
Companies looking to capture value from geolocation data
should consider these examples
and look for data sources and monetization opportunities
beyond those that directly benefit
their enterprise. These may range from indoor and outdoor
precision marketing solutions
to location-based initiatives in the healthcare domain.
Automotive sensor data can help
manufacturers accelerate product design, improve vehicle
performance, and enhance driver
safety. Their dealer networks can use this same data to better
target customers needing
preventive maintenance or other services to enhance retention
and build customer loyalty.
Whether we consider the geolocation data alone or its
63. combination with supplemental data,
the potential for companies to use this data to better engage
customers is virtually limitless.
Geolocation Data Challenges
However, as with most rapidly growing technologies, and big
data more broadly, effective
use of geolocation data requires managing several risks and
consistent challenges – namely
capturing, cleansing, integrating, and storing huge volumes of
complex data. Though the
technology to capture and store vast amounts of data has grown
rapidly over the past few
years, ensuring data quality, especially in a real-time
environment, remains a key challenge.
Most organizations also need to develop the advanced data
science capabilities required to
analyze, visualize, and use geolocation insights. They also often
struggle with how best to
embed these insights into their strategic and operations
decision-making processes.
Using geolocation data also poses some specific additional
challenges. Privacy and security
64. concerns associated with the capture, storage, and use of
location data are concerns for
companies, regulators, and users alike. Incidents already have
been reported in which
http://data-informed.com/how-to-navigate-data-privacy/
PAGE 33
Pokémon GO and Monetizing the Massive Value of Geolocation
Data
criminals have used geolocation data to lure victims to unsecure
locations. Regulators and
advocacy organizations have cautioned parents against allowing
children to play games
such as Pokémon GO unsupervised. Others have highlighted the
extensive access and right
of use to geolocation and other data that users sometimes
unwittingly give app developers
such as Niantic when accepting broad user-permission
agreements as a condition to accessing
the app. And corporate IT departments fight an unending battle
to limit exposure of their
65. networks to data theft and other cybercrime by restricting
employees from using corporate
credentials to log in to apps and social platforms.
Much like the technology landscape, perspectives on who
should be held accountable for
protecting the privacy and security of geolocation data are
rapidly evolving. When data is
aggregated from multiple third-party sources, ultimate
accountability for security and data
privacy becomes harder to determine. Companies must
understand who owns the source
data and whether users have provided affirmative opt-in
authorization for its use. It’s also
important to understand where direct consent may not be
required – for example, an asset
owner using telematics to track the location of commercial
vehicles without direct consent
from the driver – and to establish protocols accordingly.
Companies looking to exploit geolocation data also need to stay
informed about emerging
regulations, which often differ by country. For example, the EU
recently approved new rules on
personal data protection, including usage of geolocation data.
66. U.S. lawmakers increasingly
are introducing legislation intended to address privacy issues
associated with the collection,
use, and disclosure of geolocation information. Awareness of
and compliance with multiple
regulatory regimes likely will remain a necessity for companies
exploring global uses for
geolocation data.
But even with the many challenges, the potential value to be
unlocked from geolocation
data means it is here to stay. And, given the innovation and
pace at which new use cases
are emerging, anticipating a diverse ecosystem with interactions
between developers, data
aggregators, data originators, regulators, and users will prepare
new market entrants for the
landscape they will need to navigate. Innovators will continue
to invest in new data sources,
analytics capabilities, talent, and processes to capture new
business value. Regulators will
play an increasingly important role in setting and monitoring
data standards and guidelines.
The various stakeholders will need to demonstrate a
commitment to uphold privacy and
67. security standards to engender trust among the other ecosystem
players. Ultimately,
individuals will need to be better informed about how their
choices and actions will shape
the development of the next generation of innovations enabled
Anshu Prasad is a partner with A.T. Kearney and leads the
firm’s global Analytics Practice. He is
based in New York and can be reached at [email protected]
Arpita Ghosal is a consultant with A.T. Kearney Procurement
and Analytic