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business
business intelligence and analytics

Questions and Answers of Business Intelligence and Analytics

Go to teradatauniversitynetwork.com. Select the “Articles” content type. Browse down the list of articles and locate one titled “Business/Corporate Performance Management: Changing Vendor
Go to teradatauniversitynetwork.com. Select the “Case Studies” content type. Browse down the list of cases and locate one titled “Real-Time Dashboards at Western Digital.” Based on the
What is a performance measurement system? How does it work?
Go to Stephen Few’s blog “The Perceptual Edge” (perceptualedge.com). Go to the section of “Examples.” In this section, he provides critiques of various dashboard examples. Read a handful of
Founded in 1960, the Dallas Cowboys are a professional American football team headquartered in Irving, Texas. The team has a large national following, which is perhaps best represented by the NFL
Supplying Internet and mobile services to over 160 million customers across the Middle East, Saudi Telecom Company (STC) is one of the largest providers in the region, extending as far as Africa and
Select a public company of interest. Using the company’s 2013 annual report, create three strategic financial objectives for 2014. For each objective, specify a strategic goal or target. The goals
Go to teradatauniversitynetwork.com. Find the “Tableau Software Project.” Read the description, execute the tasks, and answer the questions.
Go to teradatauniversitynetwork.com. Find the assignment for SAS Visual Analytics. Using the information and step-by-step instructions provided in the assignment, execute the analysis on the SAS
Expedia, Inc., is the parent company to some of the world’s leading travel companies, providing travel products and services to leisure and corporate travelers in the United States and around the
Develop a prototype dashboard to display the financial results of a public company. The prototype can be on paper, on Excel, or on a commercial tool. Use data from the 2012 annual plans of two public
Why did Nationwide need an enterprise-wide data warehouse?
Magpie Sensing, a start-up project under Ebers Smith and Douglas Associated LLC, provides a suite of cold chain monitoring and analysis technologies for the healthcare industry. It is a shippable,
This facilitates team dialog by making the data/ metrics pertaining to sales performance, including ticketing, seats sold and flown, operational performance such as data on flight movement and
Kaleida Health, the largest healthcare provider in western New York, has more than 10,000 employees, five hospitals, a number of clinics and nursing homes, and a visiting-nurse association that deals
Moneyball, a biographical, sports, drama film, was released in 2011 and directed by Bennett Miller. The film was based on Michael Lewis’s book, Moneyball. The movie gave a detailed account of the
Go to teradatauniversitynetwork.com. Using the registration your instructor provides, log on and learn the content of the site. You will receive assignments related to this site. Prepare a list of 20
How did integrated data drive the business value?
Why have some argued that management is the same as decision making?
Any athletic activity is prone to injuries. If the injuries are not handled properly, then the team suffers. Using analytics to understand injuries can help in deriving valuable insights that would
What is data mining and why is it classified under predictive analytics? Search the Web for an example of data mining in an organization of your choice and illustrate the way it is currently in use.
Enter the TUN site and select “cases, projects and assignments.” Then select the case study: “Harrah’s High Payoff from Customer Information.” Answer the following questions about this
What forms of analytics are employed at Nationwide?
How can a computer help overcome the cognitive limits of humans?
What are the nine cells of the decision framework? Explain what each is for.
The Industrial and Commercial Bank of China (ICBC) has more than 16,000 branches and serves over 230 million individual customers and 3.6 million corporate clients. Its daily financial transactions
Prescriptive analytics is considered to be a step further ahead of predictive analysis and substantially different from it. Provide an example of each and outline their differences.
Go to teradatauniversitynetwork.com and find the paper titled “Data Warehousing Supports Corporate Strategy at First American Corporation” (by Watson, Wixom, and Goodhue). Read the paper and
With integrated data available in an enterprise data warehouse, what other applications could Nationwide potentially develop?
Gilt Groupe is an online destination offering flash sales for major brands by selling their clothing and accessories. It offers its members exclusive discounts on high-end clothing and other apparel.
Provide a definition of BI.
Go to analytics-magazine.org/issues/digital-editions and find the January/February 2012 edition titled “Special Issue: The Future of Healthcare.” Read the article “Predictive Analytics—Saving
Define managerial decision making. Discuss this concept in the context of the four-step approach to decision making.
Visit http://www.ibm.com/analytics/us/en/what-issmarter- analytics/big-data-analysis.html. Read the section “Gain actionable insights from big data analysis,” and watch the video “See how
Business analytics and computerized data processing support managers and decision making. Keeping current business environment challenges in mind, along with Mintzberg’s 10 managerial roles (see
Go to oracle.com, a leading company in BI. Make a map of their Web site illustrating their products and communication styles with available resources for business.
List the DSS classifications of the AIS SIGDSS.
Station Casinos is a major provider of gaming for Las Vegas–area residents. It owns about 20 properties in Nevada and other states, employs over 12,000 people, and has revenue of over $1 billion.
Discuss the need to have decision support systems between behavioral and scientific methods.
Choose a case at TUN or use the case that your instructor chooses. Describe in detail what decisions were to be made in the case and what process was actually followed. Be sure to describe how
Why is it important to classify a problem?
Define document-driven DSS.
The television show Jeopardy! inspired an IBM research team to build a supercomputer named Watson that successfully took on the challenge of playing Jeopardy! and beat the other human competitors.
Discuss the complexity in including behavioral patterns into computerized systems.
Most companies and organizations have downloadable demos or trial versions of their software products on the Web so that you can copy and try them out on your own computer. Others have online demos.
Define decision style and describe why it is important to consider in the decision making process.
What kinds of DSS can end users develop in spreadsheets?
Explain why decision makers using the same decisionmaking process might end up with two different decisions.
Comment on Simon’s (1977) philosophy that managerial decision making is synonymous with the whole process of management. Does this make sense? Explain. Use a real-world example in your explanation.
Why is it so important to include a model in a DSS?
Define the term ready-made DSS.
Present similarities and differences between Simon’s and Kepner-Tregoe methods.
Consider a situation in which you have a preference about where you go to college: You want to be not too far away from home and not too close. Why might this situation arise? Explain how this
Apply Simon’s four-phase model to the elevator application case (see Application Case 2.1).Application Case 2.1Making Elevators Go Faster!This story has been reported in numerous places and has
Explore teradatauniversitynetwork.com. In a report, describe at least three interesting DSS applications and three interesting DSS areas (e.g., CRM, SCM) that you have discovered there.
Examine why the decomposition of a problem is one of the most important steps in decision making.
Explain the concept of bounded-rationality and how decision support systems attempt to overcome that limitation.
Appraise the maxim: “All models are wrong, some are useful.”
Develop an example illustrating satisficing and explain why this method is suboptimal yet very useful.
Examine why change is difficult to implement.
“The more data the better.” Assess the need to have quality data to feed decision-making systems.
Identify the type of DSS your organization/university is using and discuss the need to make it evolve towards another DSS.
Examine the difficulties to implement a new DSS over legacy systems.
Examine why decision-making processes need to be well understood in order to create a sound data management subsystem.

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