Essentials of MIS (13th Edition)
13th Edition
ISBN: 9780134802756
Author: Kenneth C. Laudon, Jane Laudon
Publisher: PEARSON
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Question
Chapter 10, Problem 7IQ
Program Plan Intro
Data Analytics:
- It refers to qualitative as well as quantitative techniques used for enhancing business and productivity gain.
- The data is been extracted and is been categorized for identifying and analyzing behavioral data as well as patterns.
- It is conducted in business to consumer applications.
- Data is been stored, organized and analyzed to learn purchasing patterns and trends.
- The global organizations collect and analyze data associated with business processes, customers, market economics and practical experience.
Explanation of Solution
Writing and Analysis:
Yes, I have performed writing and analysis tasks...
Explanation of Solution
Work Examples:
- The example of work is shown below:
- To prepare a data analysis report:
- The details should be studied in depth.
- The report’s goal should be evaluated.
- The type of introduction should be given.
- The correct format should be learned.
- The outline of the report should be given well.
- Write and edit frequently based on updates of information.
- Addition of some visual resources...
- To prepare a data analysis report:
Expert Solution & Answer
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Check out a sample textbook solutionStudents have asked these similar questions
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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?
Chapter 10 Solutions
Essentials of MIS (13th Edition)
Ch. 10.2 - Prob. 1CQ1Ch. 10.2 - Prob. 2CQ1Ch. 10.2 - Prob. 3CQ1Ch. 10.2 - Prob. 4CQ1Ch. 10.3 - Prob. 1CQ2Ch. 10.3 - Prob. 2CQ2Ch. 10.3 - Prob. 3CQ2Ch. 10.3 - Prob. 4CQ2Ch. 10 - Prob. 1IQCh. 10 - Prob. 2IQ
Ch. 10 - Prob. 3IQCh. 10 - Prob. 4IQCh. 10 - Prob. 5IQCh. 10 - Prob. 6IQCh. 10 - Prob. 7IQCh. 10 - Prob. 1RQCh. 10 - Prob. 2RQCh. 10 - Prob. 3RQCh. 10 - Prob. 4RQCh. 10 - Prob. 5RQCh. 10 - Prob. 6RQCh. 10 - Prob. 7DQCh. 10 - Prob. 8DQCh. 10 - Prob. 9DQCh. 10 - Prob. 10HMPCh. 10 - Prob. 11HMPCh. 10 - Prob. 14CTPCh. 10 - Prob. 15CSQCh. 10 - Prob. 16CSQCh. 10 - Prob. 17CSQCh. 10 - Prob. 18MLMCh. 10 - Prob. 19MLM
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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
- How do software systems leverage predictive analytics to enhance user experiences?arrow_forwardWhat do data scientists really do? Are there certain educational requirements for data scientists?arrow_forwardHow do software products leverage data analytics to understand user preferences and modify features?arrow_forward
- What do you think is the biggest dissimilarity between business intelligence and analytics?arrow_forwardExplain how any business analytics classes you took had an impact on the group projects and/or tasks that you worked on in order to prepare you to contribute to the employer of your internship. What specific learning opportunities in the workplace did we have that assisted us in better comprehending the material that you presented in your coursework? During your time with us, can you think of any subjects or areas of expertise that, had they been included in the business analytics program, would have been of use to both you and us?arrow_forwardIs 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_forward
- In light of this, here are some thoughts: Big Data and Predictive Analytics would have been a success 10-15 years ago if they had been available. Do you know why this is happening?arrow_forwardPlease take into account: Do you think that modern marketing tools like Big Data and Predictive Analytics would have been effective ten to fifteen years ago? And why is it the case?arrow_forwardWhat is the most important contrast between business intelligence and analytics, in your opinion?arrow_forward
- Why do you think big data differs from other forms of information? Can you list three of these differences and explain how they apply to the data that healthcare providers gather, such as mercy data?arrow_forwardWhy do data miners choose empirical data analysis (EDA) over hypothesis testing?arrow_forward
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