Essentials of MIS (13th Edition)
13th Edition
ISBN: 9780134802756
Author: Kenneth C. Laudon, Jane Laudon
Publisher: PEARSON
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Concept explainers
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
What words would you use to explain the significance of data in analytics? Is it possible to imagine analytics without data?
Please 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?
Discuss why it is important for a data analyst to preprocess and clean data before performing any kind of analytics. Provide an example to support your rationale.
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
- Let us know how you've utilized data analytics in your daily job by describing the tools, projects, and methods you've used in the past. Analyzing data may be accomplished in three ways. Do you think your experience falls into one of these categories? How are you going to utilize the knowledge you currently have in order to make better choices and save time and money?arrow_forwardConsider 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_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?arrow_forward
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