Principles of Information Systems (MindTap Course List)
13th Edition
ISBN: 9781305971776
Author: Ralph Stair, George Reynolds
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 9, Problem 2TA
Program Plan Intro
Brief not on Watson:
IBM has first developed an
Watson story book:
IBM’s Watson story book mainly focus on the information by choosing the questions, making accurate analysis and visualization for a business problem. It helps to conclude the result by reviewing the analysis. Advanced analytics can be done with the help of Watson analytics without complexity.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Think about these things: Consider the marketing industry back a decade or two; do you believe
Big Data and Predictive Analytics would have been helpful? How did we ever get here?
To what degree do you believe it is surprising that a relatively small firm like Sunny Delight has amassed such a diverse set of analytics tools? How can the fact that Sunny Delight's ownership has changed many times have an effect on the amount and variety of business intelligence (BI) solutions used?
What changes would you make if you were in control of the iTunes store's database
administration? Which methods of forecasting would you suggest employing predictive analytics
for in order to ascertain which musical acts and films will have the biggest number of ticket sales
in the next year?
Chapter 9 Solutions
Principles of Information Systems (MindTap Course List)
Ch. 9.1 - Prob. 1RQCh. 9.1 - Prob. 2RQCh. 9.1 - Prob. 1CTQCh. 9.1 - Prob. 2CTQCh. 9.2 - Prob. 1RQCh. 9.2 - Prob. 2RQCh. 9 - Prob. 1SATCh. 9 - Prob. 2SATCh. 9 - Prob. 3SATCh. 9 - Prob. 4SAT
Ch. 9 - Prob. 5SATCh. 9 - A(n) _______________________ is a measure that...Ch. 9 - Prob. 7SATCh. 9 - Prob. 8SATCh. 9 - Prob. 9SATCh. 9 - Prob. 1RQCh. 9 - Prob. 2RQCh. 9 - Prob. 3RQCh. 9 - Prob. 4RQCh. 9 - Prob. 5RQCh. 9 - Prob. 6RQCh. 9 - Prob. 7RQCh. 9 - Prob. 8RQCh. 9 - Prob. 9RQCh. 9 - Prob. 10RQCh. 9 - Prob. 11RQCh. 9 - Prob. 12RQCh. 9 - Prob. 1DQCh. 9 - Prob. 2DQCh. 9 - Prob. 3DQCh. 9 - Prob. 4DQCh. 9 - Prob. 5DQCh. 9 - Prob. 7DQCh. 9 - Prob. 8DQCh. 9 - Prob. 9DQCh. 9 - Prob. 1PSECh. 9 - Prob. 3PSECh. 9 - Prob. 1TACh. 9 - Prob. 2TACh. 9 - Prob. 3WECh. 9 - Prob. 1CECh. 9 - Prob. 2CECh. 9 - Prob. 3CECh. 9 - Prob. 1CTQ1Ch. 9 - Prob. 2CTQ1Ch. 9 - Prob. 3CTQ1Ch. 9 - Prob. 1CTQ2Ch. 9 - Prob. 2CTQ2Ch. 9 - Prob. 3CTQ2
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- Is it surprising that a small company such as Sunny Delight could end up with so many different analytics tools? How did Sunny Delight end up with so many analytics tools? What are the trade-offs of moving to an enterprise-level analytics solution for individual employees who may have grown accustomed to working with their own customized solutions for generating data? Gartner reported that most businesses will have access to some sort of self-service BI tool within the next few years. However Gartner estimated that less than 10% will have sufficient data governance practices in place to prevent data inconsistencies across the organization. Why do you think so many companies invest in BI solutions while ignoring governance programs to ensure data consistency?arrow_forwardIs there any way to know how reliable the outcomes of sentiment analytics really are? How do you think this is normally accomplished?arrow_forwardTake into account the following: Do you think Big Data and Predictive Analytics would have been useful in marketing a decade or two ago? And how did things get to this point?arrow_forward
- Consider the following: Do you believe that Big Data and Predictive Analytics would have been effective in marketing 10-15 years ago? And how did this come to be the case?arrow_forwardSenior management has asked you to research a Big Data topic. They would like you to choose one of the two options described below. You should write this as a case in which you present the business problem that needs to be addressed, then you present at least two Big Data solutions for solving the business problem, and conclude with which one you would recommend and why. Topics to research, along with questions to consider include: Option 1 - Data Analytics use in various industries – (industries could include weather, sports, social media, marketing, financial, politics, farming, medicine, or any other industry that you find interesting to explore.) This analysis should include the following. a. A summary of how data analytics is being used within the industry selected. b. Who, within the industry, is using data analytics? c. What opportunities does data analytics provide that was previous unavailable? d. What threats does using data analytics present? e. What skills are necessary for…arrow_forwardThere are four types of analytics in Big Data i.e. Descriptive, Diagnostic, Predictive, and Prescriptive analysis. What do you know about those types of analytics, give an example for each?arrow_forward
- Is it strange to you that a business as tiny as Sunny Delight could wind up with so many distinct analytics tools? How has the fact that Sunny Delight has changed ownership many times influenced the quantity and diversity of BI tools used? What are some of the drawbacks of migrating to an enterprise-level analytics system for individual end users who may have become used to dealing with their own bespoke data generation solutions? According to a recent Gartner report, most business users will have access to some type of self-service BI tool within the next few years; however, Gartner estimates that less than 10% of companies will have adequate data governance practices in place to prevent data inconsistencies across the organization. Why do you believe that so many businesses continue to invest in new analytics technologies while failing to establish governance processes that guarantee data consistency?arrow_forwardOLAP's function must be made clear using descriptive analytics.arrow_forward. Is it odd to you that a firm as tiny as Sunny Delight could wind up with so many distinct analytics tools? How has the fact that Sunny Delight has changed ownership several times influenced the amount and type of BI tools used?arrow_forward
- Is it surprising to you that a relatively small company like Sunny Delight could end up with so many different analytics tools? How might the fact that Sunny Delight has changed ownership multiple times have impacted the number and variety of BI tools being used? What are some of the trade-offs of a move to an enterprise-level analytics solution for individual end users who might have grown accustomed to working with their own customized solutions for generating data? According to a recent report by Gartner, most business users will have access to some sort of self-service BI tool within the next few years; however, Gartner estimates that less than 10 percent of companies will have sufficient data governance practices in place to prevent data inconsistencies across the organization. Why do you think so many companies continue to invest in new analytics tools without implementing governance programs that ensure data consistency?arrow_forwardChoose any data sets you want. Perform descriptive and time series analyticsarrow_forwardWhen looking at stock data for your favorite publicly traded firms, what kind of data discrepancies can you anticipate seeing?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Principles of Information Systems (MindTap Course...Computer ScienceISBN:9781305971776Author:Ralph Stair, George ReynoldsPublisher:Cengage Learning
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning