Data Mining Essay

Data Mining Essay
Abstract
Every interaction your company has with a customer or supplier likely generates a data trail and this data provides a wealth of information for
marketers. Extracting that information and getting it into usable shape requires sophisticated data mining tools. One example of this technology is the
used by police departments to identify patterns in crime. We will define, explain and discuss main aspects ofdata mining. Also its benefits and negative
issues. What is Data?
Data is defined as facts, concepts, information, or instructions in a formalized manner suitable for communication, interpretation, or processing by
humans or by automatic means. Like mentioned before this processing is usually assumed to be automated and ... Show more content on
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Therefore, a manufacturer or retailer could determine which items are most susceptible to promotional efforts.
Data Mining
What is Data Mining?
Data mining is the process of analyzing data from different perspectives and summarizing it into useful information, this information that can be used
to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data
from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding
correlations or patterns among dozens of fields in large relational databases. (Sometimes called data or knowledge discovery)
How does data mining work?
Data mining is a subset of business intelligence, which covers a broad range of analytics technologies. Often used for predictive modeling, data
mining tools can also help organizations better understand relationships among variables. One core software tool is online analytical processing
(OLAP), which extracts, structures and stores warehoused data to enable quick, multidimensional analysis. A dimension can be any variable your
company tracks: customer locations, sales volumes, product development costs and so on. An OLAP data set is made up of dimensions and measures,
which can then be used for queries to elicit detailed data breakdowns and
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What Is Data Warehousing? Its Uses and Applications for...
Abstract Many corporations are experiencing significant business benefits of using data warehouse technology. Users report gains in market
competitiveness through increased revenue and reduced costs through information management. Data warehousing is thus a major issue within most
organizations, and thus the development of a data warehouse with a strong base is essential. This paper aims to present the important concepts of Data
Warehousing such as Data Warehousing tools and the benefits of Data Warehousing, that a manager must understand in order to execute a successful
Data Warehousing project in his/her company. Keywords: Data Warehouse Technology, Market Competitiveness, Data Warehousing tools, benefits of
Data Warehousing, Data... Show more content on Helpwriting.net ...
Some of those parts are summarized into information "components" and stored in the warehouse. Data Warehouse users make requests and are
delivered information "products" that are created from the components and parts stored in the warehouse. A Data Warehouse is typically a blending of
technologies, including relational and multidimensional databases, client/server architecture, extraction/transformation programs, graphical user
interfaces, and more. Data warehousing is one of the hottest industry trends – for good reason. A well–defined and properly implemented data
warehouse can be a valuable competitive tool. (Perkins). The following describes the components of a data warehouse (Figure.2) Summarized data:
There are two kinds of summarized data, lightly summarized data and highly summarized data. Lightly summarized data are the hallmark of a Data
Warehouse. All departments in a corporation do not have the same information requirements, so effective Data Warehouse design provides for
customized, lightly summarized data for every department. Highly summarized data are primarily for the executives. Highly summarized data can
come from either the lightly summarized data used by enterprise elements or from current detail. If executives require more detailed information they
have the capability of accessing increasing levels of detail through a "drill down" process. Current Detail: The heart of a

Continental Airlines Takes Off with Real-Time Business...
Continental Airlines Takes Off with Real–time Business Intelligence Introduction: Continental Airlines was once successfully revolution by using
Business Intelligence and save it from bankrupt. Below are some items discuss how Continental Airlines implement strategies related with Business
Intelligence. 1. In what ways does real–time data warehousing fit with the Continental strategy and plans? Go Forward Plan was the earliest plan that
start in Continental revolution, and real–time data warehousing helps it to realize the plan which include four parts as below: a. Fly to win: Use real
time data warehousing to integrated multiple data sources, including flight schedule data, customer data and inventory data to support pricing... Show
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* Corporate Security: Continental was able to identify and prevent over $30 million in fraud over the last three years. This includes more than $7
million in cash collected. * IT: The Teradata Warehouse technology has significantly improved data center management, leading to cost savings of $20
million in capital and $15 million in recurring data center costs. * Revenue Management: a. Tracking and forecasting demand has resulted in $5
million incremental revenue. b. Fare design and analysis improves the ability to gauge the impact of fare sales, and these activities have been estimated
to earn $10 million annually. c. Full reservation analysis has realized $20 million in savings through alliances, overbooking systems, and demand–based
scheduling. 3. What did the data warehousing group do right that has led to the successful deployment of (real–time) data warehousing and BI within
Continental? a. The data warehousing group is well function in four groups which are revenue management, marketing, crew operations and
supporting Hyperion Intelligence and miscellaneous tasks. b. All of the support people originally worked in the user areas so they are experts on the
data for those areas. They do not program the applications directly but support in their expert area. 4. What elements of the data–warehousing
environment at Continental are necessary to support the extensive end–user BI application

Improving The Care Delivery For Organizations And Patient...
SUMMARY
Skilled and experience in a variety of Health Care analytics and technology to improve the care delivery for organizations and patient care.
Comprehensive skills include disease registries and prevention methodology initiatives that impact accreditation scores and improve patient health.
Skilled in health care data and how data can provide opportunity for patient care health. Knowledge and experience in information systems, including
business and systems analysis, requirement gathering, workflow design/improvement, relational databases (RDBMS) environments, quality and
technical components. Understanding of employer group model and third party claims payment systems. Knowledge and experience in analysis
/design of standardized reporting and metrics, creating ad hoc reports and collaborative decision making. Progressive responsibilities in demonstrating
senior level and technical skills applied in health care for HMO, PPO and Medicare/Medicaid services and membership growth. Educated in healthcare
strategies and organization leadership. Medical terminology knowledge ICD HCPCS, CPT, DRG/MSDRG.
ACCOMPLISHMENTS
Expanding knowledge of accreditations and government incentives to improve patient care and organizational finances.
Continue gaining knowledge in programming languages and tools.
Expanded knowledge of data for internal clinical data such as EPIC EMR, Clarity and external clinical services such as claim base systems and
pharmacy information such as

Examples Of IDIC Model
IDIC model has been evolved by Peppers and Rogers (Wiley 2016) . A stated by IDIC model, this model recommend that companies ought to apply four
steps so as to organize and manage relationships with individual customers. The four steps are Identify, Differentiate, Interaction and Customize.
(Academia 2016) Firstly, a company must identify their customers one by one and should know well about their customers. The companies would
probably realize about their customers's needs and wants and serve them fruitfully when they builing a deep relationship with each customers.
(MarketingInfo 2012) Secondly, differentiate customers by their value and need in the organization. A company should determine whichcustomer is
creating the largest value now and which give most for the time ahead. Besides that, every customer have different needs therefore the differentiation
can provide the companies to plan and execute their customer particular strategies created to fulfill individually different customer need.
(MarketingInfo 2012) Thirdly, interact with customers in line with values and needs. This will make sure that companies understand their customer
anticipation ... Show more content on Helpwriting.net ...
To better identified their customers,they can carry out to expand and hold demonstrate service behaviours at their battlefront. Therefore, Maybank's
staff can join the train trainer seminar which held by the entire country. (Tara Duggan, Demand Media 2016 ) They will be trained how to hold eye
contact, ensure a positive manner, speak in a clear tone, gesture suitably, and keep interest and drive away confusion.This would help them internalise
and manage the demostration service practice and moral principles at their individual touch points. Not more that that, it can enhancing the teamwork
among the staffs, have better communication skills with customers or co–workers and have more confidence and ability to fulfill the customers's needs
and

Management Information System
1. Be able to understand the impact of management information on decision making Definitions of Management Information System: "The study of
MIS is not about the use of computers, it is about the provision and use of information relevant to the user. Computers are one – albeit important –
means of producing information and concentration on the means of production rather than the needs of the user can lead to expensive mistakes."
(Lucey [1997] pg 195) "A system to convert data from internal and external sources into information and to communicate that information, in an
appropriate form, to managers at all levels in all functions to enable them to make timely and effective decisions for planning, directing and controlling
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The over load that is which is flooded should be summarise so as to avoid confusion. Accuracy: A complete system of mechanised and standard
control ought to endure the "information system processing" action. Information must be balanced and controlled and edited in regular intervals.
Proper audit functions externally and internally must be done so as to attain accuracy. Consistency: The data which is received should be arranged
informally, consistensively. The wrong method of collecting data and reporting the data can affect the trend analysis as well as the information. Data
collection methods and reporting change in regular intervals, so the entity must have proper method to evaluate the changes. The methods must be
filed into form of document and well defined so as to communicate with proper person in aright time with highly effective counselling system. The
components of MIS are elucidated below: "Transaction processing monitor": It also known as transaction processing system. It is destructive
programme which monitor the programs related to the transaction. For example in airlines booking, if the seats are reserved should be blockage of
that seat so as to avoid double booking, this also a type of transaction. It is mainly maintained for effective function, recovery process and to avoid
failures. "Decision support systems": There are particular class which aid

Continental Airlines
Case Study > Data Warehousing
Continental Airlines
I. Executive Summary
Table of Contents
I II III IV V Executive Summary The Decision to Invest Implementation New Business Strategies ROI 2 4 6 9 19 20
Technical Appendix A
Continental's comeback from "Worst to First" is anairline industry legend. Now the company is engaged in a new initiative to move from "First to
Favorite." To support this ambitious initiative, Continental tapped into its EnterpriseData Warehouse and expanded it to enable a real–time business
intelligence capability. In the п¬Ѓrst п¬Ѓve years of operations, the EDW achieved an ROI of more than 1000% on a $25 million investment. To do
this, Continental has changed the way it does business, transforming its ... Show more content on Helpwriting.net ...
Its last proп¬Ѓtable year had been 1984. The company had п¬Ѓled twice for Chapter 11 bankruptcy protection and was headed for a third bankruptcy.
Ten CEOs had come and gone in ten years. If Continental was going to compete and stay in business, change was needed. The story of the airline's
transformation "From Worst to First," under the leadership of CEO Gordon Bethune is a lesson for every struggling business. Today Continental has
won accolades and awards for all aspects of its business performance. Headquartered in Houston, Texas, Continental is the п¬Ѓfth largest airline in the
U.S. and sixth largest in the world, employing about 49,000 people. It carries more than 50 million passengers a year to п¬Ѓve continents (North and
South America, Europe, Asia and Australia), with over 3,045 daily departures to more than 271 destinations, serving more destinations than any other
airline in the world.
EB–4349
>
1007

>
PAGE 3 OF 25
Continental Enterprise Case Study
II. The Decision to Invest
From 1994 through the end of 1997, Bethune's "Worst to First" business strategy relied little on technology. Bethune began by reshaping the company
with his "Go Forward Plan," which still guides the business today. The Go Forward Plan has four interrelated parts, dealing with the airline's product,
п¬Ѓnances, market and people: > Fly to Win. Understand what products customers want and what they are willing to pay for. > Fund

Are You Ready For Big Data?. By Roopal Bhatia| Submitted
Are You Ready for Big Data?
By Roopal Bhatia | Submitted On February 10, 2011
Recommend Article Article Comments Print Article Share this article on Facebook Share this article on Twitter Share this article on Google+ Share
this article on Linkedin Share this article on StumbleUpon Share this article on Delicious Share this article on Digg Share this article on Reddit Share
this article on Pinterest
There is a lot of buzz around Big Data and the NOSQL movement these days and rightly so. The issues with data have essentially been two–fold: find
cost effective ways to store ever increasing amounts of data and information, and find ways to mine this information to extract meaningful Business
Intelligence.
This problem has been ... Show more content on Helpwriting.net ...
Try performing a join between two database instances and you will know what I am talking about. To solve these issues, there are custom solutions
from vendors like Teradata and Netezza. The barrier for entry is still quite high in adopting these systems, however, both in terms of license fees and
setup and maintenance costs.
There is an alternative. We are now in the era of framework–based DW, DIY DW and DW in the Cloud. The current set of tools and technologies that
have emerged have helped democratize this domain which was for long the exclusive preserve of a few select vendors. The revolution was led by
grid–based implementations adopted by the leading players like Google (Bigtable), Facebook (Cassandra) and Yahoo (Hadoop).
Hadoop has emerged as one of the most popular Map/Reduce based open source frameworks for Big Data and several Information majors have
adopted this technology. Beware that this is a framework and may need significant amounts of customization and programming to get it to do what you
want. If Hadoop is not your cup of tea, then there are similar implementations like AsterData and GreenPlum which work on the same concepts but can
get you up and running very quickly with their own abstractions libraries like SQL–MR and intelligent dashboards for easy configuration and
maintenance. Another very appealing feature of these offerings is their ability to be hosted in a Cloud so all your

Business Analysis Management Project Management
High versatile and solutions focused with the skills and expertise needed to enhance workflow management, operational processes, improve reporting
services, and to deliver on new IT systems and application deployments. Benefits from having been at the forefront of project delivery, working within
a PMO setting and driving initial requirements through to go–live and support. Proven change management skills, working across the organisation to
garner buy–in at all levels. Clear and confident communicator, and recognised influencer. Able to lead and manage resources both on and off shore.
Business Analysis ManagementProject Management ConsultingBusiness Requirements
Structured Data Analysis Compliance & Risk ManagementChange ... Show more content on Helpwriting.net ...
The Compliance Enterprise Reporting Team (CERT) is responsible for the development and maintenance of enterprise reporting solutions used by up to
17,000 ATO employees distributed through six business areas.
Drove the technological roadmap for Cognos Business Intelligence (BI) and Business As Usual (BAU), focusing on developing a scalable framework
that meets current and future organisational needs for CERT.
Analysed the ATO business model and the strategic direction of all divisions under remit, working with business management and end users to assess,
analyse, recommend, and implement business improvements that support the business initiatives with IT enabling projects and change management
Worked closely with key stakeholders, business users and functional analysts, comprehending business requirements and modelling

How Analytics Helps An Organization Optimize Their...
Analytics is defined, according to online–behavior.com, as the "process of obtaining an optimal or realistic decision based on existing data." [1].
Davenport and Harris (2007), defined analytics, as the "extensive use of data, statistical and quantitative analysis, explanatory and predictive models,
and fact–based management to drive decisions and actions." [2]. An article titled Outsmart the Competition by Jackie Zack in Teradata Online
magazine states that "analytics can help an organization optimize their business processes to make them effective as possible." [3]. It is a proven fact
that proper use of analytics can lead an organizations to success, providing them with that distinctive advantage over their competitors. In this essay,
details will be provided on how analytics has helped my organization to compete in their business segment. Ability to compete on analytics Digicel
Group is a total communications and entertainment company. The company's objective "is to bring our customers never–ending possibilities and
change the world around us by offering affordable and innovative mobile services, enterprise solutions, cloud computing, cable TV, broadband and
engaging content." [4]. The company was founded on "a commitment to providing the best networks, services, values and to giving back to the
community."[4]. The company is currently present in 31 markets across the Caribbean, Central America and Asia Pacific and employs around 6,000
people. Digicel Group currently has

Hdfc Bank 's Largest Private Sector Bank Essay
ICICI BANK DATA WAREHOUSE CASE STUDY
Introduction
ICICI Bank is India's largest private sector bank. Thebank has a network of 4,050 branches and 12,919ATMs and offers customers a robust Internet
bankingsolution. The bank has a presence in 19 countries,including its home market in India(ICICI). ICICI Bankoffers a wide range of banking
products and financialservices to corporate and retail customers through avariety of delivery channels and through its specializedsubsidiaries and
affiliates in the areas of investmentbanking, life and non–life insurance, venturecapital, and asset management.
Before discussing the current data warehouse architecture in place at ICICI Bank, issues associated with it, especially due to immense data growth
and different modalities of data sources, it would be appropriate to have a quick look at the data warehouse history and architectural framework
and how ICICI Bank's data warehouse has evolved over the years. Back in 2008 ICICI Bank used Teradata and was dependent on Teradata for its
data warehouse. Back in those days the size of the data warehouse was 3TB. Because of the dramatic growth in the amount of data, user population
and the source stations coupled with cost of scaling and maintenance as well as system availability,posed a problem for the bank in using their legacy
data warehouse solution. The bank felt that its legacy data warehouse solution posed scalability issues and one of the major issues that bank faced was
with their current

Marketing And Customer Strategy Management Essay
"Customer segmentation in the
Telecommunications industry"
Case study: Tiradata telcos
Received (in revised form): 11 th October 2010
© 2010 Macmillan Publishers Ltd. 1741–2439 Database Marketing & Customer Strategy Management Vol. 17, 3 / 4, 247–256
By:
Dr.Judy Bayer
Director of Advanced Business Practices for Teradata in Europe, Middle East and Africa.
Dr Bayer taught marketing and modelling at the MBA, PhD and undergraduate levels at Carnegie Mellon University and New York University
Correspondence:
Judy Bayer
Director Advanced
Business Practices,
Teradata Europe,
Middle–East, Africa
E–mail: judy.bayer@teradata.com
Assignment of:
Reviewing of Empirical study–based Articles:) 10 pages )
пѓ Empirical articles are those in which primary data was used. Chose an empirical article and critique i.e. discuss its Strengths and Weakness and
how it could have been Improved
By: Soliman Khalil Soliman
D80/50227/2016
As an empirical article is a research article that reports the results of a study that uses data derived from actual observation or experimentation, this
article tried to manipulate the conceptual model of segmentation in Communication Company. In general, segmentation has now become accepted

within the industry thus, how the central question has moved on from whether segmentation should be done at all, all, to what is the right sort of
segmentation for a particular business, business issue and target audience. Four segmentation schemes are considered:

Marketing Plan For An Organization
The real marketing plan made will be composed essentially for officials, who will utilize the conjectures in the arrangement to settle on planning
choices. These individuals will settle on planning choices for the arranged showcasing exercises as well as for the association 's assembling, requesting,
and generation divisions, and different capacities in view of the promoting arrangement made. Notwithstanding administrators, numerous other
individuals will utilize the advertising arrangement. Particularly the association 's business power. They will utilize the showcasing plan to decide its
business techniques and what number of salesmen are required. The whole showcasing staff will depend on the arrangement to decide the course and
nature of their exercises. The publicizing office contracted will utilize the showcasing plan to make the special battles and will likewise utilize the
arrangement to guide its imaginative group. A promoting arrangement begins with an official outline. An official rundown ought to give all the data the
organization 's administrators need to settle on a choice without perusing whatever is left of the arrangement. The rundown ought to incorporate a brief
portrayal of the business sector, the item to be offered, the technique behind the arrangement, and the monetary allowance. Whatever other imperative
data, for example, how contenders and channel accomplices will react to the activities the firm in talk takes, ought to additionally be compressed.

Fraud Detection in Banking Transactions
Preface Purpose The purpose of this document is to detail the description of the Real Time (Active) Fraud Detection in Banking Transactions (FDBT)
Project. This document is a key project artifact and is used during the design, construction, and rollout phases. Scope The objective of this project report
is to capture the functional and non–functional requirements for the Real Time FDBT project. This report lists out the complete system requirements
and design architecture of the project. The requirements contained herein will include, but not be limited to: Capabilities or system functionality –
What a system does, to include, but not be limited to: Interfaces (internal and external hardware) Business Rules Data... Show more content on
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If any transaction is more than 80% credit limit in 48 hours (one transaction or sum or transactions in the 48 hour period). Deposit activity out of the
normal range for any account Invalid Routing Transit numbers Excessive numbers of deposited items Total deposit amounts greater than average
Large deposited items masked by smaller deposit transactions The amount exceeds the historical average deposit amount by more than a specified
percentage A duplicate deposit is detected Deposited checks contain invalid routing or transit numbers The level of risk can be managed based on the
age of the account (closed account getting lot of transactions suddenly). The number of deposits exceed the normal activity by the customer Consider
the proximity of the customer's residence or place of business Wire transfers, letters of credit, and non–customer transactions, such as funds transfers,
should be compared with the OFAC lists before being conducted. A customer's home/business telephone is disconnected. A customer makes frequent or
large transactions and has no record of past or present employment experience. A customer uses the automated teller machine to make several bank
deposits below a specified threshold. Wire transfer activity to/from a financial secrecy haven, or high–risk geographic location without an apparent
business reason, or when it is inconsistent with the customer's business or history.

Analysis Of Google 's On Data Exhaust Essay
Data Exhaust Google By utilizing the millions of misspelled words in the billions of searches it processes every day, Google was able to create
it's spell checker for free (something that Microsoft spent a considerable amount of time and money to create). Google then created an ingenious
way to confirm that it's algorithm displayed the correct word by asking users to click to confirm on the corrected search results. In addition,
google took their algorithm a step further by looking at the text of the web pages that they click on as the page that the user selects as the page
likely has the word spelled correctly if the user selected it. This allows google to continually improve their spell check and also makes it easily
available for any language that is typed into their search engine. This data also has additional uses beyond spell check, such as their "autocomplete"
feature that is available across most of the google ecosystem and the translation services that they offer9. Facebook Jeff Hammerbacher, a data
scientist at facebook, found that when people saw their friends making posts or sharing content that they were more likely to post content themselves.
Once facebook made this realization, they redesigned their site to make activities by users friends more prominent in order to create a cycle of new
content9. Amazon Amazon now has a trove of data available to it from the thousands of e–books that it sells through its kindle platform. For example,
they are able to

Analysis Of The Proposed Solution, And The Obtained...
Application Case 2.3 (page 58), Discussion question 2.
2.What were the challenges, the proposed solution, and the obtained results with BIGS?
The challenge:–
After the recent merger activity, BP Lubricants wanted to improve the consistency ,transparency and accessibility in its MIS andBusiness Intelligence
systems.To achieve this it needed to integrate data from different source systems.
The proposed solution:–
Kalido's federated enterprise data warehousing solution,center of BIGS was implemented by BP lubricants. The system integrates data and stores
information from different source systems to provides diverse reporting for marketing, sales, and finance.
The obtained results:–
It improved consistency and transparency of business data, faster and flexible reporting,existing business processes remained intact,recognizing data
quality issues and resolving them and improvised ability to respond intelligently to new business opportunities.
Application Case 2.4 (page 62). Discussion question 1.
1. How did Coca–Cola in Japan use data warehousing to improve its business processes?
Teradata Corp. ,hired by HCCBC, implemented a data warehouse system to collect historical data and real–time data from nearby vending
machines.The company knows what is selling, and system sends alerts when a product sells out,when a customer is short–changed and when a
machine is malfunctioning. Application Case 2.5 (page 66). Discussion question 1 & 3.
1. How big and complex are the business

Is Harrah 's Entertainment, Inc. Essay
The company that I will be discussing about is Harrah's Entertainment, Inc. This company was founded by Bill Harrah on October 29, 1937 and has
its headquarters in Nevada, USA. They own more than 50 casinos and hotels and have approximately 33,000 employees presently working. The
company has an annual revenue of $8.6 billion and is currently one of the top casino gaming companies of the world. The reason for their success is
good customer service and efficient usage of software development. Customer service is given a top priority and many incentives are provided to
them. This makes the customers feel really happy about the services and facilities provided to them. So the possibility of the customers returning back
is very high. This is a major reason for the success of the company.
Summary
Harrah's had initially used enterprise data warehouse from Teradata. They have now expanded their database system since their customer base has
increased. They make use of Teradata Priority Scheduler and Teradata Dynamic Query Manager. In order to protect their system from external
attackers and to ensure total safety, Harrah's makes use of Teradata Dual Active Solutions. This system is useful to identify customers that come for
the first time and it provides services and offers tailor made for them. The system can also alert the staff of a customer who has returned after a very
long time and make a customized greeting for such return customers. This will make the customers feel special

Data Ware House Technology Essays
Bashkor Biswas
TU
Data Ware House
Data is the raw materials of any information system. With the revolution of Information Technology we are improving our decision making process
more quick and smart. Data warehouse technology is the process of collection, sorting, structural formation, analysis, storing and presentation of data.
So we say that data warehouse is the technology is overall data management system in the organization.
In today's business world we are facing huge competition. To secure enough profit we have no other way but to make most accurate decision quickly.
We take decision on the basis of information WE HAVE. So to take accurate decision accurately it is a pre requisite to have a smart system which can–
... Show more content on Helpwriting.net ...
Scalability: how my vendors deals with the data? Will it performed against required performance? Can the infrastructure handle the needs for different
user even if they are working concurrently on this system?
Agility: How do my vendors deals with the changing needs with mixed loads that include loading data while querying and returning right answer.
Enterprise readiness: Are service of my vendors function always to keep my business running( even if in 24*7) . Is it deliver the security I need. How
the vendors are protecting disaster and fraudulent manipulation.
There are some other things also we can consider : * Ease of Deployment * Cost of Up gradation *
Source : https://blogs.oracle.com/datawarehousing/entry/data_warehouse_vendor_comparis_1
Source : https://blogs.oracle.com/datawarehousing/entry/data_warehouse_vendor_comparis_1
Flexibility of the company
How it take decision :
When we think of take decision by using data ware house, we usually go through four main function of data ware house. They are : * Storing the data *
Data extraction

Course Outline Ch 2
CHAPTER 2: DATA WAREHOUSING Objectives: After completing this chapter, you should be able to: 1. Understand the basic deп¬
Ѓnitions and
concepts of data warehouses 2. Understand data warehousing architectures 3. Describe the processes used in developing and managing data
warehouses 4. Explain data warehousing operations 5. Explain the role of data warehouses in decision support 6. Explain data integration and the
extraction, transformation, and load (ETL) processes 7. Describe real–time (active) data warehousing 8. Understand data warehouse administration and
security issues CHAPTER OVERVIEW Data warehousing is at the foundation of most BI. This is the data warehousing chapter of the book. Later
chapters will use it as they discuss DW... Show more content on Helpwriting.net ...
A repository of current and historical data of potential interest to managers throughout an organization. Data are usually structured so that they are
ready for analytical processing (for OLAP, data mining, reporting, querying, etc.) DW provides a single version of the truth 4. (Note: Watson, 2005,
refers to the term data warehousing as a discipline resulting from applications that provide decision and support capabilities) C. Characteristics of data
warehousing (Inmon, 2005) to ensure that the DW is tuned almost exclusively for data access: 1. Subject Oriented – data are organized by topics, such
as sales, products, customers, etc. Best for providing a more comprehensive view of the organization; not only how a business is operating, but why.
Integrated – data from different sources are stored in a consistent format. Also clarity is obtained in unit of measures, naming/labeling of attributes, etc.
(The assumption is the data warehouse is totally integrated.) Time Variant– provides data at various points in time (daily, weekly, monthly quarterly,
annually – historic and current data so as to analyze trends, deviations, compare and forecast outcomes, etc.). Every data warehouse should have a time
variable. (Example: LSU enrollment, retention, graduation data) Nonvolatile – users cannot change the data once entered into the data warehouse. This
ensures that the data warehouse is almost exclusively

Analysis Of Harrah 's Entertainment, Inc. Essay
The company that I have conducted a research on is Harrah's Entertainment, Inc. It is a casino gaming company in America that has been in
operation since many decades. The company was founded by Bill Harrah and has an annual revenue of $8.6 billion. Harrah's has gone on to become
the world's largest gaming company by the use of analytics that has left behind its competitors by a huge margin. Their primary focus is customer
loyalty which provides customer satisfaction and would make the customers want to come back again and play more games thereby increasing the
overall revenue of the company. They use predictive models to predict the likes and dislikes of the customers and provide loyalty incentive programs to
target certain customers. Usage of Analytics Business Analytics is a data–based approach that gathers all kinds of data and then interprets and analyzes
the data to make predictions about the outcomes of certain events and examine the thinking and purchasing pattern of a customer. Then strategic
products or services are offered to the customer based on the likes of the customer. Analytics optimizes the business processes and can be profitable for
a company in the longer run. A strong relationship is built with the customer thereby increasing customer satisfaction. It is imperative to have top
management support that can help lay the right foundation for a company and hire the right people for the job. Leadership plays a major role in setting
the right work

The Data Warehouse Market
The data warehouse DBMS market is going through a transformation due to the rise of "big data" and logical data Warehouses. Surprisingly, many
establishments entered the data warehouse market in 2012 for the first time, swelling demand for professional services and causing vital changes in
vendors' positions.
The different influential vendors in the Data warehouse market are detailed below
1)Teradata
Teradata offers both traditional and emerging logical data warehouse solutions. Teradata product delivery is in such a way that it always leads and
faces least competition in overall execution. It has constantly pushed the market towards emerging best practices and product innovation. Teradata has
different form factors ranging from tiny proof of concept (POC) solutions to an all–flash–memory, enterprise–capable solution. It is a leader in logical
data warehouse with its unified data architecture which combines Teradata, Aster and Hadoop technology.
It lags in upgrading to newer versions and there is a near absence of skilled Teradata professionals in the market.
2)Oracle
Oracle customers have the option to choose to build a warehouse using oracles DBMS software. Oracle offers the below mentioned data warehouse
solutions. DBMS software, certified configurations, Oracle Big Data Appliance, Oracle Exadata X3 (X3–2 and X3–8), Oracle SPARC Super Cluster
T4 systems with Oracle Exadata Storage Servers. The oracle products have an appeal to the current data warehouse market.

Case Study Of Harrah's Customer Relationship Management
Harrah's decided to follow foot print of their founders and make customer loyalty as their core competency since they felt that they could leverage this
skill to become the industry leader. The Harrah's initial focus was to find out the customers who were not so loyal customers and visiting their
competitors, and then try making them to regular customers. For this, Customer Relationship Management (CRM) initiatives were launched and were
implemented across all Harrah's casinos.
Harrah's mainly focused on establishing good relationship with customers, develop new relations with customers and bring down the rate of customer
attrition. The New Business strategy and operating procedure was designed to improve the effectiveness at converting new total gold members into
loyal customers.
Customers who were giving major share to the competitors were primarily targeted with the Loyalty program where as another programme known as
retention programme was designed to attract the customers who were visiting less to Harrah's
Operations at Harrah ... Show more content on Helpwriting.net ...
The purpose of WINet was to collect customer data from various source systems, integrate the data around the customer, identify market segments
and customer profiles, create appealing offers for customers to visit Harrah's casinos, and make the data available for operational and other
analytical purposes. The repository for this data used a patron database (PDB) that served as an operational data store. It provided a cross property
view of Harrah's customers. In 1997, a patented customer loyalty program, Total Gold, was put in place, through which customers could earn points for
their gambling activities such as playing slot machines, and redeem their points for free retail products, rooms, food, and cash. For analytical
applications, marketing workbench (MWB) was also implemented to serve as a data

Financial, Retail And Shopping Domains
Summary:
Senior Analyst with 4 years of experience in Financial, Retail and Shopping domains. Extensive experience working with enterprise level data
warehouses, ETL tools and writing advanced SQL queries including OLAP Cubes functionality across various RDBMS platforms (SQL Server,
Teradata, Oracle & DB2).
Proficient with Data Analysis techniques like Data Profiling, Data Cleansing, Data Integrity,Data Mining, Data Reference and Security and etc. Strong
knowledge and understanding of Data Lineage. Good knowledge of Dimensional Modeling and Normalization approaches and also Dimensional
Modeling and Normalization approaches.
Adept at building innovative reports and interactive dashboards using Tableau. Publish reports in Tableau server... Show more content on
Helpwriting.net ...
Data Analyst
Working as a Sr.Data Analyst in Brokerage Technology division of Wells Fargo Advisors. Primary responsibilities are extracting Detailed Data
requirements, conducting Current system Analysis, Impact Analysis, preparing Deliverables such as FDR, SSA(Source System Analysis), Source–
to–Target Mappings, indentyfying the Transformation logic to develop ETL scripts.
Analyzed Metadata using DMM tools(Wells Fargo Specific) and Informatica Metadata Manager(IMM) as part on Information security and Risk
Assessment project to trace out the confidential data fields in the Data Warehouse and ODS.
Involved in the entire project life cycle from evaluation, installation and development of end user reports.
Gathered and Analyzed User requirements, finance data and designed hierarchy to meet the requirements.
Worked closely with BAs to gather and provide specific and crucial information through data mining using advanced SQL queries, OLAP functions and
PL/SQL Stored Procedures and functions.
Discovered Data Lineage and read application material to understand workflows and complexity. Mined data from numerous source systems.
Conducted Curent system analysis to find the

Data Analysis in the Cloud
V.DATA ANALYSIS IN THE CLOUD
In this section we descus the expected properties of a system designed for performing data analysis at the cloud environment and how parallel database
systems and MapReduce–based systems achieve these properties.
Expected properties of a system designed for performing data analysis at cloud:
Performance
Performance is the primary characteristic of database systems that can use to select best solution for the system.High performance relate with quality,
amount and depth of analysis. High performance helps to reduce cost.Upgrading to a quicker software package will permit an organization avoid
adding further nodes to application continues to scale.
Fault Tolerance.
In transactional workloads fault tolerant means that DBMS can recover from a failure without losing any data. In the distributed databases fault
tolerances means that successfully commit transactions and make progress even in the worker node failures. For read–only queries in analytical
workloads, query doesn't have to be restarted if a case of one node's query fails.In cloud there is a high failure rate. It can happen in single node failure
during long query processing. Ability to run in a heterogeneous environment
Due to hardware failures in the system nodes in cloud not act as homogeneous. When the work is equally divided among all nodes, time takes to
complete the task should be equal to time that needed slowest node needed to complete its portion of work. Because its

Information Security Trends And Data Breach Of Health Care...
INFORMATION SECURITY TRENDS AND DATA BREACH IN HEALTH CARE SERVICES
INTRODUCTION
The objective of this paper is to present the most recent data security patterns. It will likewise give the late digital assaults as samples and highlight
the lessons learned. Medicinal services records speak to a greatly appealing focus for digital crooks, containing as they do different bits of delicate data
like Social Security numbers all in one spot. Given the estimation of this information, it is clear why the Identity Theft Resource Center 's most recent
2014 Data Breach Category Summary found that medicinal services represented 43 percent of all ruptures year–to–date. The test for IT and security
experts working in social insurance is that they must ... Show more content on Helpwriting.net ...
These patterns incorporate Cyber Crime, security and regulation, dangers from outsider suppliers, conveying own gadgets to the working environment
and individual's engagement.
ANTHEM SECURITY BREACH
The nation's second–biggest wellbeing insurance agency have encountered real security rupture in which that programmers have stolen individuals '
Social Security numbers, names, birthdays, medicinal IDs, and more delicate individual data in a monstrous information break. The rupture influences
an expected 80 million clients and workers. Right now, Anthem does not accept the programmers got to credit card or medicinal information.
According to the Associated Press, the aggressors who focused on and exhilarated more than 80 million client records from Anthem Inc., had the
capacity seize the accreditations of no less than five distinct workers. We know from Anthem themselves that no less than one administrator record was
bargained, as the administrator himself recognized his qualifications being utilized to inquiry their information distribution center.
Looking at job postings and representative LinkedIn profiles it creates the impression that the information stockroom being used at Anthem was
Teradata. By doing some brisk inquiries on LinkedIn I had the capacity find more than 100 matches for Teradata in profiles of current representatives at
Anthem, including, CXOs, framework modelers and DBAs. Finding

Database Management System And Microsoft Sql Server Vs....
DBMS
Database Management System or DBMS is a collecting computer program used for creating, deleting, editing and maintaining collections of different
data records. There are many different types of database management systems; they are used to stored, managed database model. Different DBMS
systems are Relational Database System, Flat Files Base Database Management, Hierarchical Database Management Systems, Network Database
Management System and Object–oriented Database Management Systems. () Relational Database System includes Oracle Database, Microsoft SQL
Server, IBM DB2, mySQL, IBM DB2, SAP Sybase Adaptive Server Enterprise, and Teradata, etc.
Oracle Database vs. Microsoft SQL Server vs. Teradata:
Oracle database is a "collection of data treated as a unit" (Oracle.com). Oracle database system store and retrieve related information. Oracle Database
was the first database designed for enterprise grid computing, the most flexible and cost effective way to manage information and applications.
Microsoft SQL Server is a software product with the main function of storing and retrieving data as requested by other software applications which may
run either on the same computer or on another computer across a network (including the Internet) ( )
Teradata is analytic data platforms, marketing applications, and related services. Its analytics products are meant to consolidate data from different
sources and make the data available for analysis.
RDSM Differences
Oracle database

Summary and Evaluation: Continental Airlines Flies High...
SUMMARY Continental Airlines is now known as one of the best contrived airlines in the world. Their effective strategic and tactical decision
–making
analytics are on the cutting edge of the airline industry. With a long history going back, in American Southwest, a single–engine Lockheed aircraft was
founded in 1934 and its headquarters is located in Houston, Texas. This airline boosted its fly by serving overly 50 million passengers into five
continents and 227 destinations. And 10 years ago, the company crashed that led the, filed for bankruptcy protection twice and nearly destroyed the
brand. Throughout all of this Continental has managed to survive in a very competitive industry in an ever changing world. Continental Airlines... Show
more content on Helpwriting.net ...
Real–time BI doesn't deliver value unless downstream decision–making and business processes are changed, data worth decreases rapidly because a
change in downstream decision–making and business processes occur. EVALUATION Title The title contain keywords that describe the study and
accurately describe and reflect the key elements of the article in a concise manner. Abstract The abstract summarize the state of the purpose, research
problem and rational of the study. The hypothesis and research questions are clearly stated which are related to the research problem though they aren't
stated directly. Method The methodology isn't stated in the abstract. Results The result section is well written and connected to the research questions
and/or hypotheses. Discussion The studies limitations are not highlighted in the discussion and conclusion section. This is more of explanation and
discussing in a positive way. References Some of reference listed are current but most of them are old articles. The recent references are sufficient to
reflect the breadth and depth of existing study

Industrial And Technical Review For Hadoop
This chapter introduces an industrial and technical review for Hadoop framework with other technologies used with Hadoop system to process bigdata.
Hadoop project originally was built and supervised by Apache community. In addition to Apache many other companies whose businesses run on
Hadoop are adding more interesting features to Hadoop, some of them announced their own Hadoop distributions replying on the original core
distribution distributed by Apache.
2.1 Industry Feedback
In last Hadoop summit [19] Mike Gualtieri 'principal analyst at Forrester' gave a keynote about the market today's expectations from bigdata analysis
solutions, he came up with these interesting results:
"Data–related projects are at the forefront of the minds of ... Show more content on Helpwriting.net ...
Chris Twogood from Teradata [50] and Timothy Mallalieu from Microsoft talked about how important integrating Hadoop with traditional data
technologies to get the most out of the new opportunities.
Arun Murthy who is a co–founder of Hortonworks [51] gave an overview of the key recent advances in Hadoop2.0, including the benefits of the
YARN ResourceManager [18], and Apache STORM [73] to process data streaming with Hadoop.
The list of companies and institutions are using or planning to switch to Hadoop is getting longer every day. Adobe, Amazon, IBM, Pivotal, Google,
Facebook, Twitter, CloudERA, MapR, Hortonworks, Dell, Intel, HSBC, Deutsche Telecom, ...etc are just few examples of many organizations
switched or just announced they are switching to Hadoop.
2.2 Previous Work and Critique
2.2.1 Data Warehouse Systems DWHs
Data Warehouse Systems "DWHs" are platforms used to report and analyse the data by integrating data from different disparate sources and creating a
central repository of data "data warehouse". This is achieved through storing the current and the historic data to create reports for management or
technical reporting based on some pre–defined configurations. Currently nearly every discussion recently of big data analysis begins with a debate

over what is the best way to perform the analysis, whether the DWHs will be replaced by the new frameworks like Hadoop or not. Some went very
far thinking relational databases are going to

Pt1420 Unit 2 Research Paper
Which database management system platform should I use? This is a very common question that developers ask themselves when they work on a
project that requires storing and querying data. There are 4 well–known platforms that people may consider; they are: Oracle, Microsoft SQL, Teradata
and DB2. This essay will compare and contrast the differences and similarities between these fours platforms.
The first difference is that Microsoft SQL only used Windows as the only operating system while other three platforms can use multiple platforms.
Developers do not have any operating options to choose since Microsoft SQL only supports for Windows. Therefore, they either have to switch their
operating system to Windows or use Oracle, Terada, and DB2

The Enterprise Data Warehouse : General Overview
The Enterprise Data Warehouse
3.1 General Overview
3.1.1 Enterprise Insights Overview The Enterprise Insights (EI) team's mission is to provide timely, reliable, and actionable information to facilitate the
best strategic and operational business decisions to support SWA company objectives. EI seeks to deliver advanced analytic capabilities through
partnership with business customers to provide relevant and insightful information to businesses.
The EI team facilitates access to the enterprise data warehouse (EDW) which is used to consolidate data from many data sources both within SWA and
outside SWA. The EDW has several purposes:
Consolidate and integrate enterprise data by subject area in a relational store at the lowest level of ... Show more content on Helpwriting.net ...
This overview provides the foundation for how the estimates are formulated in EI data warehouse and business intelligent using the proposed
estimation utility.
3.1.1.1 The Enterprise Data Warehouse (EDW)
"A data warehouse is a subject oriented, integrated, time variant, non–volatile collection of data in support of management 's decision making process".
Source
There are

Database Used for Reporting and Data Analysis
Introduction
In computing, a data warehouse (DW, DWH), or an enterprise data warehouse (EDW), is a database used for reporting and data analysis. Integrating
data from one or more disparate sources creates a central repository of data, a data warehouse (DW). Data warehouses store current and historical data
and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.
The data stored in the warehouse is uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right). The data
may pass through an operational data store for additional operations before it is used in the DW for reporting.
A fundamental concept of a data warehouse is the distinction between data and information. Data is composed of observable and recordable facts that
are often found in operational or transactional systems. At Rutgers, these systems include the registrar's data on students (widely known as the SRDB),
human resource and payroll databases, course scheduling data, and data on financial aid. In a data warehouse environment, data only comes to have
value to end–users when it is organized and presented as information. Information is an integrated collection of facts and is used as the basis for
decision making.
The data warehouse is that portion of an overall Architected Data Environment that serves as the single integrated source of data for processing
information. The data warehouse has specific

Altiscale-Technology : The Future Of The Internet
Altiscale – Infrastructure Altiscale was established to give associations access to the main cloud reason worked for Apache Hadoop, and additionally
the operational aptitude expected to execute complex Hadoop ventures. The Altiscale group has been on the bleeding edge of Apache Hadoop– from
its hatching at Yahoo to working more than 40,000 Hadoop hubs. As an organization that comprehends both the transformative energy of this
innovation and its difficulties, no other association is better situated to convey dependable and versatile Apache Hadoop. Datatorrent– Analytics For
loads of organizations who had enormous information issues one of the greatest was latency. In the wake of checking on information, they could
perceive what... Show more content on Helpwriting.net ...
OpenGov Intelligence is a cloud–based detailing and information representation arrangement that shows an individual government's budgetary and
non–monetary information, including its incomes and consumptions by reserve, division, and kind of record. The item gives divisions a chance to
track their spending against spending plan, screen the monetary status of capital change extends, and investigate income patterns. Clients can see the
information in an assortment of intuitive diagrams and tables, and also download or share the information through email or online networking.
OpenGov Budget Builder is a collective planning instrument for governments. Singular divisions work together on and submit spending proposition.
At that point, spending overseers, fund executives, and office heads get to and assess recommendations in a single focal area. OpenGov Transparency
pictures government budgetary and nonfinancial information, enabling people in general to penetrate down into diagrams and tables. This item
additionally incorporates spared sees that answer basic inquiries, explanations, maps, and execution dashboards. This item resembles OpenGov
Intelligence, yet just comprises of people in general confronting abilities. OpenGov Open Data, fueled by big business prepared CKAN, conveys open
information to metro engineers, organizations, and residents. This arrangement gives a

Database Management Systems
Database Management System
Basith Shaik
Southern New Hampshire University
September 7, 2015
Abstract
The intent of this paper is to design and propose a database management system solution to Grandfield College for tracking software installed. I have
analyzed the organizational issues and needs and developed conceptual, logical, and physical designs of DBMS solution. In order to implement the
solution, substantial research had been done on best practices in design, available products, and the legal and ethical standards to which we must
adhere during design. This paper includes Business rules, Conceptual, Logical, and Physical database designs, Recommendations on best DBMS
required for Grandfield College, Data model, Legal ... Show more content on Helpwriting.net ...
* Track requests of new software.
Issues with current system * Some of the information is recorded in notebooks and not entered in spreadsheets * Reliable database is not available *
People work in shifts to collect and preserve the data * There is no security provided for the records to protect against threats
Highlights of Information provided * Installations are not entered until they have completed successfully. * Some installations can be done from
network drives. * Some installation require media. * Instructors with administrative rights can check out software and do their own installations. *
Instructors with administrative rights must sign an agreement and are responsible for their own support.
Solution
Looking at the requirements of Grandfield College, I have planned a solution with following steps are Step 1. Data Gathering: This task consists of
the gathering of spreadsheets currently used by the software management team which includes the list of software, licensing of software, and all
faculty and staff computers and what software is installed on each. Also included is a list of software requests. Step 2. Data Analysis: The data will be
analyzed to determine database modeling. Step 3. Database normalization: Fields and

Analysis Of The Largest Broadband Cable Operators Of...
Cablecom is one of the largest broadband cable operators in Zurich, Switzerland. It was founded by affiliation of many small companies in 1994. It
operates in many cities of Switzerland and having 73% market share. It is part of UPC broadband which is owned by Liberty global. Cablecom
provides television s and internet services. It provides services to 2 million customer and having revenue around 1.34 billion CHF in 2015. Currently
it owns more than 2500 employees. The main services provided by Cablecom are Analogue and Digital cable TV and radio, telephone and internet.
Cablecom turned to SPSS to better know its customers and their behaviour. SPSS provides a predictive software and solution. Cablecom is the largest
customer of SPSS predictive analytical solution. By using SPSS predictive solution, Cablecom is now able to enhance customer satisfaction by getting
their feedback. Through SPSS, Cablecom has also improve customer contact strategy, customers who are at churn risk and able to decrease the addition
of new customers cost.
According to the implementation of four business intelligence capabilities, Cablecom is still highly recommended and retaining higher market share.
These capabilities are:
Presentation:
Through predictive analytics visualization reports, Cablecom is getting the data of those customers who are unsatisfied. By using predictive services,
Cablecom increases its customers through different ways. By conducting interviews or survey they figured out that

Hdfc Bank 's Largest Private Sector Bank Essay
ICICI BANK DATA WAREHOUSE CASE STUDY
Introduction
ICICI Bank is India's largest private sector bank. The bank has a network of 4,050 branches and 12,919 ATMs and offers customers a robust Internet
banking solution. The bank has a presence in 19 countries, including its home market in India (SAP Success Story). ICICI Bank offers a wide range
of banking products and financial services to corporate and retail customers through a variety of delivery channels and through its specialized
subsidiaries and affiliates in the areas of investment banking, life and non–life insurance, venture capital, and asset management.
Before discussing the current data warehouse architecture in place at ICICI Bank, the issues and drawbacks associated with it due to immense
growth and different modalities of data sources, it would be appropriate to have a quick look at the data warehouse history and architectural
framework and how ICICI Bank's data warehouse has evolved over the years. Back in 2008 ICICI Bank used Teradata and was dependent on
Teradata for its data warehouse. Back in those days the size of the data warehouse was 3TB. Because of the dramatic growth in the amount of data,
user population and the source stations coupled by cost of scaling and maintenance as well as system availability, posed a problem for the bank in
using their legacy data warehouse solution. The bank felt that its legacy data warehouse solution posed scalability issues and the major issue that bank
faced was with

Sop Statement Of Purpose For Engineering
Statement of Purpose
"One man's "magic" is another man's engineering", these words by Robert A. Heinlein have always fascinated me and makes me feel proud to be an
engineer. Engineering is a field that improves the quality of life of people by creating ways to live better, think better and make the society more
productive. Thus it has touched people's lives since centuries.
My desire to be an integral part of this process of betterment motivated me to choose engineering as my career. A natural aptitude for mathematics, good
analytical ability, tenacity and high academic credentials helped me secure admission for undergraduate studies at Sreenivasa Institute of Technology
and Management Studies affiliated to JNTU University, one of the most prestigious universities in India. My diligent efforts led me to realize my dream
of being an Electronics and Communication Engineer.
During my undergraduate studies, I was exposed to a spectrum of subjects in Electronics and Programming, such as Microprocessors, Computer
Networks, Computer Organization, C, Data Structures, JAVA and Digital Signal Processing etc.... Show more content on Helpwriting.net ...
K.Yoga Prasad. This was a live project done for Hindustan Aeronautics Limited (HAL), an aerospace company under the Indian Ministry of Defense
and which is one of the largest aerospace companies in Asia. The main objective of the test kit that I developed is to test the DMC (Display and
Mission Computer) and MFD (Multi–Functional Display) at the Ground Control Station itself rather than in the helicopter. The test kit is used for
loading software into the MFD and has a software loading panel with different modes for testing

The Growth of Mobile Devices, Digital Platforms and Big Data
Management & Information Systems
Contents
Summary2
Introduction2
Structure of apple3
The evolution of IOS3
Operating principles and business processes4
Culture of organisation4
Device platforms4
Big data5
In order to store all that data, Apple uses Terradata equipment and reportedly they are the fastest customer of Terradata to reach Petabyte scale in a
Terradata warehouse. They now operate a multiple–petabyte Teradata system, which is mostly driven by the launch of iCloud in 2011. Robin Harris
believes that these petabytes are mostly used to store personal information. Of course, this was 2011 and two years later it is likely that this data
warehouse has grown tremendously.5
Legal and Ethical Issues5
Social Issues5
Conclusion6
Appendix0
References1
Apple Inc. The growth of mobile devices, digital platforms and "big data"
Summary
This is a report based on the trend is the growth of mobile devices, digital platforms and "big data"
And my chosen organisation is apple.

"Apple Inc. is an American multinational corporation headquartered in Cupertino, California, that designs, develops, and sells consumer electronics,
computer software and personal computers. Its best–known hardware products are the Mac line of computers, the iPod media player, the iPhone
smartphone, and the iPad tablet computer. Its consumer software includes the OS X and iOS operating systems, the iTunes media browser, the Safari
web browser, and the iLife and

Big Data In Health Care Essay
The use of technology in healthcare has greatly increased and grown, including the use of electronic health records (EHRs) and electronic medical
records (EMRs). With the vast influx of data, the need for consistent gathering of patient data in an organized manner is crucial for patient care.
Big data does not only consist of volume but different varieties and formats as well (i.e. diagnostic images, objective, and subjective data). The
American Hospital Association conducted a survey revealing an increase of electronic health records (EHRs) doubling from 2009 to 2011
(Murdoch & Detsky, 2013). Murdoch and Detsky (2013) expressed this data is often perceived as a result of health care instead of essential to the
health care process. Big data may be used to empower patients to play a more active role in their health care. What if there was a way to directly
improve health (i.e. reduce smoking, healthy eating choices) habits... Show more content on Helpwriting.net ...
Chawala and Davis (2013) discuss the use of big data and the client–centered approach in order to maximize the involvement of the patient throughout
their healthcare. As a future occupational therapist, I hope to use big data in a positive way to provide the best treatment plan for my patients. Having
all past medical history, medications, and previous therapy sessions; I hope to use the available information to personalize the intervention to the needs
of my patient. Big data may also improve interdisciplinary communication between facilities and different health care professionals when working with
a patient. However, how comfortable would a patient be if therapy sessions were documented in an electronic health record (EHR)? There are both
advantages and disadvantages to big data and comfort level of patients are essential. Are there ways to improve patients' comfort level when using

How Analytics Helps An Organization Optimize Their...
Introduction
Analytics is defined, according to online–behavior.com, as the "process of obtaining an optimal or realistic decision based on existing data." [1].
Davenport and Harris (2007), defined analytics, as the "extensive use of data, statistical and quantitative analysis, explanatory and predictive models,
and fact–based management to drive decisions and actions." [2]. An article titled Outsmart the Competition by Jackie Zack in Teradata Online
magazine states that "analytics can help an organization optimize their business processes to make them effective as possible." [3]. It is a proven fact
that proper use of analytics can lead an organizations to success, providing them with that distinctive advantage over their competitors. In ... Show more
content on Helpwriting.net ...
In Jamaica, its headquarters, Digicel controls 70 percent of the mobile phone market and hopes to actively dominate the cable TV and internet broad
band market. The secret behind Digicel's success is that it has a devoted business intelligence and analytics group and a marketing department
responsible for analyzing critical consumer data gathered from market surveys and market research. Digicel's success can be attributed to the fact that
the company is able to determine customers touch points by knowing exactly what customers want or desire from a mobile phone provider. The use
of analytic tools have helped Digicel achieve this position, which is having the ability to predict and know what customers want and anticipate their
next purchase moves. For example, Digicel has just branched into the cable TV and internet broad band market. The reason for this diversification is
as a result of extensive market analysis of the cable TV and internet broad band market which currently has only one major player (Flow Cable
Company) with a poor customer satisfaction rate. Digicel was able to capitalize on this opportunity because of the data gathered from customers that
showed that they desired better cable and internet broad band service. The company has applied the use of analytics and quantitative approaches in
areas such as primary consumer surveys, concept development testing, advertising testing,

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