This document provides information about resources for finding business information and conducting financial analysis. It outlines several databases and tools available through the library including Thomson ONE, Business Source Premier, Statista, and Bloomberg terminals. It also provides guidance on using some of the features of these resources, such as searching for analyst reports, financial data, and SWOT analyses. Additionally, it shares a student testimonial about how access to financial reports and data tables through Bloomberg was essential for their course paper analyzing Facebook stock.
The Unreasonable Effectiveness of Product SenseWrangleConf
Presenter: Shubha Nabar, Salesforce
Statistics, machine learning and programming are commonly referenced tools of the data science trade. A less often talked about, but entirely indispensable skill for building great data products, is knowing what to build and why. In this talk, I will dispel some commonly prevalent myths related to building data products and touch on the increasing convergence between the skills of an effective data scientist and skills that have traditionally fallen in the realm of product management.
Kerry Dean presented at the January 2015 DFWSEM | Dallas/Fort Worth Search Engine Marketing Association meeting on The State of SEO: 2015 and Beyond!
https://www.dfwsem.org/events/kerry-dean/
The goal of this presentation is to allow researchers to understand the possibilities of Social Media as a research field on the fields related to NLP/IR/DM.
Data Con LA 2022 - Pre-recorded - How to Become a Business Intelligence AnalystData Con LA
Christian Bourdeau, Analytics Manager at Activision Blizzard
BI/ Reporting/ Business Use Cases
Showcase how I pivoted from professional concert photography to data analytics at Blue Chip companies. I will show you the classes I took, the skills I developed, and how you can do the same in 2022 and 2023
The Unreasonable Effectiveness of Product SenseWrangleConf
Presenter: Shubha Nabar, Salesforce
Statistics, machine learning and programming are commonly referenced tools of the data science trade. A less often talked about, but entirely indispensable skill for building great data products, is knowing what to build and why. In this talk, I will dispel some commonly prevalent myths related to building data products and touch on the increasing convergence between the skills of an effective data scientist and skills that have traditionally fallen in the realm of product management.
Kerry Dean presented at the January 2015 DFWSEM | Dallas/Fort Worth Search Engine Marketing Association meeting on The State of SEO: 2015 and Beyond!
https://www.dfwsem.org/events/kerry-dean/
The goal of this presentation is to allow researchers to understand the possibilities of Social Media as a research field on the fields related to NLP/IR/DM.
Data Con LA 2022 - Pre-recorded - How to Become a Business Intelligence AnalystData Con LA
Christian Bourdeau, Analytics Manager at Activision Blizzard
BI/ Reporting/ Business Use Cases
Showcase how I pivoted from professional concert photography to data analytics at Blue Chip companies. I will show you the classes I took, the skills I developed, and how you can do the same in 2022 and 2023
Enterprise Open Source Intelligence GatheringTom Eston
Presented at the Ohio Information Security Summit, October 30, 2009.
What does the Internet say about your company? Do you know what is being posted by your employees, customers, or your competition? We all know information or intelligence gathering is one of the most important phases of a penetration test. However, gathering information and intelligence about your own company is even more valuable and can help an organization proactively determine the information that may damage your brand, reputation and help mitigate leakage of confidential information.
This presentation will cover what the risks are to an organization regarding publicly available open source intelligence. How can your enterprise put an open source intelligence gathering program in place without additional resources or money. What free tools are available for gathering intelligence including how to find your company information on social networks and how metadata can expose potential vulnerabilities about your company and applications. Next, we will explore how to get information you may not want posted about your company removed and how sensitive metadata information you may not be aware of can be removed or limited. Finally, we will discuss how to build a Internet posting policy for your company and why this is more important then ever.
Posting Content on Social Media: 5 Simple Tips that will make you a Better Re...Johnny Campbell
Attention is fleeting on Facebook and LinkedIn and competition for candidates is fierce. With the very latest research and data, find out how you can win the war for clicks, views, likes and shares in 2018 leading to more candidates and clients for you to close!
Learn some fresh approaches to place marketing for your economic development organization. Alissa Sklar, Ph.D., GIS Planning's director of marketing, outlines five effective ways to effectively communicate the advantages of expanding or relocating to your region. Tips include social media strategies, successful messaging ideas and creative use of industry and work force data.
For more information, visit http://www.gisplanning.com/
The who, what, where, when, why and how of planning social media for corporations. Presentation delivered by Doug Lacombe, president of social media agency communicatto in April 2011.
Webinar presented to Cognizant Analytics Audiences on Context, Narratives & Big Data Analytics. This presentation draws from my previous presentation made at a conference on Narratives & Big Data.
Waterstons’ Business analytics specialists Dan, Chris and Michael will present Waterstons’ latest thinking and experience around the drivers behind analytics and intelligence in the business environment, and the current business analytics marketplace.
They will discuss Waterstons’ Business Insights Maturity Model, which sets out the methodology we use to help our customers derive competitive advantage, improve productivity and management control, and provide support for better business decision making, before using case studies to explain how real businesses are leveraging the power of modern analytics tools.
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?Haluk Demirkan
“KEY CONSIDERATIONS FOR DEEP ANALYTICS ON BIG DATA FOR DEEP LEARNING”
What is Big Data? Big Data, which means many things to many people, is not a new technological fad. In addition to providing innovative solutions and operational insights to enduring challenges and opportunuties, big data with deep analytics instigate new ways to transform processes, organizations, entire industries, and even society all together. Pushing the boundaries of deep data analytics uncovers new.
Big Data is not just “big.” The exponentially growing volume of the data is only one of many characteristics that are often associated with Big Data, such as variety, velocity, veracity and others (6Vs).
By now, we should already have knowledge and experience to have successful data and analytics enabled decision support systems. So why do these projects still fail, and why are executives and users are still so unhappy? While there are many reasons for this high failure rate, the biggest is that companies still treat these projects as just another IT project. Big data analytics is neither a product nor a computer system. It is, rather, a constantly evolving strategy, vision and architecture that continuously seek to align an organization’s operations and direction with its strategic business goals with strategic, tactical and operational decisions.
Presentation for North Carolina Scholastic Media Association & World View 2018 K-12 Global Education Symposium, both in Chapel Hill, N.C. October 17-18, 2018.
Teaching Ideas for middle & high school teachers
Enterprise Open Source Intelligence GatheringTom Eston
Presented at the Ohio Information Security Summit, October 30, 2009.
What does the Internet say about your company? Do you know what is being posted by your employees, customers, or your competition? We all know information or intelligence gathering is one of the most important phases of a penetration test. However, gathering information and intelligence about your own company is even more valuable and can help an organization proactively determine the information that may damage your brand, reputation and help mitigate leakage of confidential information.
This presentation will cover what the risks are to an organization regarding publicly available open source intelligence. How can your enterprise put an open source intelligence gathering program in place without additional resources or money. What free tools are available for gathering intelligence including how to find your company information on social networks and how metadata can expose potential vulnerabilities about your company and applications. Next, we will explore how to get information you may not want posted about your company removed and how sensitive metadata information you may not be aware of can be removed or limited. Finally, we will discuss how to build a Internet posting policy for your company and why this is more important then ever.
Posting Content on Social Media: 5 Simple Tips that will make you a Better Re...Johnny Campbell
Attention is fleeting on Facebook and LinkedIn and competition for candidates is fierce. With the very latest research and data, find out how you can win the war for clicks, views, likes and shares in 2018 leading to more candidates and clients for you to close!
Learn some fresh approaches to place marketing for your economic development organization. Alissa Sklar, Ph.D., GIS Planning's director of marketing, outlines five effective ways to effectively communicate the advantages of expanding or relocating to your region. Tips include social media strategies, successful messaging ideas and creative use of industry and work force data.
For more information, visit http://www.gisplanning.com/
The who, what, where, when, why and how of planning social media for corporations. Presentation delivered by Doug Lacombe, president of social media agency communicatto in April 2011.
Webinar presented to Cognizant Analytics Audiences on Context, Narratives & Big Data Analytics. This presentation draws from my previous presentation made at a conference on Narratives & Big Data.
Waterstons’ Business analytics specialists Dan, Chris and Michael will present Waterstons’ latest thinking and experience around the drivers behind analytics and intelligence in the business environment, and the current business analytics marketplace.
They will discuss Waterstons’ Business Insights Maturity Model, which sets out the methodology we use to help our customers derive competitive advantage, improve productivity and management control, and provide support for better business decision making, before using case studies to explain how real businesses are leveraging the power of modern analytics tools.
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?Haluk Demirkan
“KEY CONSIDERATIONS FOR DEEP ANALYTICS ON BIG DATA FOR DEEP LEARNING”
What is Big Data? Big Data, which means many things to many people, is not a new technological fad. In addition to providing innovative solutions and operational insights to enduring challenges and opportunuties, big data with deep analytics instigate new ways to transform processes, organizations, entire industries, and even society all together. Pushing the boundaries of deep data analytics uncovers new.
Big Data is not just “big.” The exponentially growing volume of the data is only one of many characteristics that are often associated with Big Data, such as variety, velocity, veracity and others (6Vs).
By now, we should already have knowledge and experience to have successful data and analytics enabled decision support systems. So why do these projects still fail, and why are executives and users are still so unhappy? While there are many reasons for this high failure rate, the biggest is that companies still treat these projects as just another IT project. Big data analytics is neither a product nor a computer system. It is, rather, a constantly evolving strategy, vision and architecture that continuously seek to align an organization’s operations and direction with its strategic business goals with strategic, tactical and operational decisions.
Similar to Researching Companies for MEJO 652 (20)
Presentation for North Carolina Scholastic Media Association & World View 2018 K-12 Global Education Symposium, both in Chapel Hill, N.C. October 17-18, 2018.
Teaching Ideas for middle & high school teachers
Presents strategies of how to teach news literacy. Includes definitions of the news landscape (propaganda, disinformation, clickbait,satire, editorials - and corrections!). Plus interactive activities, checklists, idea generation sites. Includes tips on using NC LIVE news resources for news literacy.
Presentation to seniors at the Robert & Pearl Seymour Center in Chapel Hill, March 2018. Addresses how to identify accurate news sources and confirm which news stories are credible.
Instruction for doing research online for UNC's Media & Journalism Research Methods course, MEJO 701. These slides were used for the MA course, but they are relevant to the PhD students as well.
Help finding articles for your literature review for MATC 716 with Dr. Anne Johnston. Tips for searching EBSCO & how to make an appointment with Stephanie.
Presentation on news literacy for advisors at the North Carolina Scholastic Media Institute, June 21, 2017. Offers ideas for high school journalism teachers on teaching how to evaluate news stories for credibility before sharing them.
Help finding articles for your literature review for MATC 716 with Dr. Anne Johnston. Tips for searching EBSCO & how to make an appointment with Stephanie.
Library presentation to students in JOMC 101: The Media Revolution: From Gutenberg to Zuckerberg @ the School of Media & Journalism.
Covers: the CRAAP test, good Google searches, and library resources that are better than Google!
Jones, Lynne and Stephanie Willen Brown. "Does Forcing Students to Ask for Help Work? Assessing the Effect of Requiring Term Paper Consultations." Librarians' Association at the University of North Carolina at Chapel Hill annual meeting, March 2015.
Stephanie has worked with students in Jim Hefner's JOMC 424 (Electronic Media Management) class, spending more and more time with his students. In spring 2014, he began *requiring* students to meet with a librarian, rather than encouraging them to do so, as they prepared to write their 12-15 page research paper. He had tried all manner of encouragement with little success; requiring students to meet with a librarian was much more successful.
In fall 2014, we received IRB approval to survey Hefner's students to assess if their meeting with us had an effect on their confidence in writing the paper (somewhat) and they perceived it would have an effect on meeting with a librarian in the future (they said it did).
This presentation highlights our research findings and discusses our plans for future interactions with Hefner's students.
Takeaway message: Tell faculty to require students to meet with a librarian!
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
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!
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.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
1. DIGITAL MEDIA ECONOMICS
MEJO 551, FALL 2016
Stephanie Brown
Park Library
swbrown@unc.edu
UNCParkLib .
http://bit.ly/mejo-wsj
FINDING BUSINESS INFO.
MEJO 652, FALL 2018
1
2. What, Where, How?!
What?
• Analyst reports
• Financial data
Where?
• Google (let’s be honest)
• Library: http://guides.lib.unc.edu/mejo652/company
• NetAdvantage
• ThomsonONE
• Business Source Premier (SWOT)
• Statista
• Bloomberg terminal How?
Image: https://pixabay.com/en/business-office-training-problem-3694993/
3. Pre-Class Assignment
• Where did you find an analyst report?
• What’s the date on the report?
• How long is the report?
• How much did you pay for it?
• Why did I ask this?
4
9. Bloomberg = Command Driven
• Bloomberg terminal …
• Special keyboard with color-coded keys
• Navigate mostly through typing rather than mouse
• Type command & press <go>
• Training with Stephanie to learn more useful commands
12
10. Where to Type Commands
13
What Company? What’s the Data?
11. EE = Earnings & Estimates
What Company? What’s the Chart Measuring?
14
12. GF = Graph Fundamentals (compare)
What Companies? What Data Elements?
15
13. RV = Relative Value (compare $$)
What Company? What Competitors?
16
14. Training
• Meet in groups of 2-4 with Stephanie
• Sign up with a friend OR
• Sign up with others doing your same company
• Walk-in appointments unlikely!
http://guides.lib.unc.edu/mejo652/Bloomberg
17
15. Former Student (about using Bloomberg):
“The financial analyst reports and the
ability to grab a ton of tables to make a
super-cool appendix were absolutely
ESSENTIAL to my paper and I couldn't
have written it without these tools.
“I was able to argue my point (that
investors should buy Facebook stock)
using a true statistic - zero analysts
recommended selling. Definitely helped
18
16. Sample 652 Papers @ Park Library
• Borrow for 2 hours.
• Ask for them at the front
desk
•Companies Include
• Yahoo!
• New York Times
• Netflix
• Facebook
… and more
19
Editor's Notes
Discuss assignment
· Watch 4 short videos about using the Bloomberg terminal. There are all at http://guides.lib.unc.edu/mejo551/bloomberg (top left of the page)
· Find one analyst report about your company (video #2 offers some hints as to how)
· Be prepared to talk in class about where & how they found the report. BIG hint: start at http://guides.lib.unc.edu/mejo551/company
·