Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Business Analytics (MindTap Course List)
8th Edition
ISBN: 9781305947412
Author: Cliff Ragsdale
Publisher: Cengage Learning
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Textbook Question
Chapter 1, Problem 5QP
What is the relationship between business analytics and spreadsheet modeling?
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Explain the meaning of business analytics and its role in generating value from data. Distinguish between model and modelling, and explain the steps in solving business problems using analytics.
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What is producivity analysis? What is prescriptive data analytic model? How are the two related or how are they different? Give example of each.
Chapter 1 Solutions
Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Business Analytics (MindTap Course List)
Ch. 1 - Prob. 1QPCh. 1 - Prob. 2QPCh. 1 - Prob. 3QPCh. 1 - Prob. 4QPCh. 1 - What is the relationship between business...Ch. 1 - What kinds of spreadsheet applications would not...Ch. 1 - Prob. 7QPCh. 1 - Prob. 8QPCh. 1 - What is a dependent variable?Ch. 1 - What is an independent variable?
Ch. 1 - Can a model have more than one dependent variable?Ch. 1 - Can a decision problem have more than one...Ch. 1 - Prob. 13QPCh. 1 - Prob. 14QPCh. 1 - In what ways are descriptive models different from...Ch. 1 - Prob. 16QPCh. 1 - Prob. 17QPCh. 1 - Consider the spreadsheet model shown in Figure...Ch. 1 - Prob. 19QPCh. 1 - Prob. 20QPCh. 1 - Prob. 21QPCh. 1 - Prob. 22QPCh. 1 - Prob. 23QPCh. 1 - Prob. 24QPCh. 1 - Prob. 25QPCh. 1 - Prob. 26QPCh. 1 - Prob. 27QP
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- How does data modeling support the development of effective Business Intelligence (BI) systems?arrow_forwardDetermine the type of business analytics for the following scenarios. A. Imagine you are a meteorologist. You have to foretell the weather for the next two weeks by analysing the data from the satellites. Here, you have to apply advanced statistical, information software, or operations research methods to identify predictive variables and build predictive models. Discuss in detail which type of business analytics will be suitable for this scenario.arrow_forwardExplain the concept of data modeling in data warehousing. What are star schemas and snowflake schemas, and how are they used?arrow_forward
- Investigate the use of data modeling in data warehousing and business intelligence. How does it support decision-making processes?arrow_forwardExplain the concept of data modeling in the context of data warehousing, including the various modeling techniques and their purposes.arrow_forwardDiscuss the use of data cubes and multidimensional modeling for advanced analytics in data warehousing.arrow_forward
- Which modeling techniques are suitable to build a predictive model ? (Multiple answer may be correct) Â Group of answer choices Multiple linear regression Classification tree Logistic regression Clusteringarrow_forward. What are the advantages and disadvantages of Regression Model, Econometric Model, Driving Indicator Models?arrow_forwardWhat is data modeling in the context of data warehousing, and how does it help in organizing and structuring data for analysis?arrow_forward
- What exactly is enterprise data modeling?arrow_forwardProvide an explanation of the operation of predictive analytics and a practical application of the method.arrow_forwardWhat is the advantages of using predictive analyctics? Explain in 250 words. Say that it improves decision making, making competitive advantage, improves risk management, and others.arrow_forward
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