Discussion textbook 3 (1700 words)

Please read the following Chapter(s) from our Textbook- Data Analytics Basics for Managers :

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Data Analytics Basics for Managers - Chapter(s): 9 and 10

https://www.scribd.com/read/381180829/Competing-on-Analytics-Updated-with-a-New-Introduction-The-New-Science-of-Winning#b_search-menu_874733

(see samples attached)

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and please, answer for your INITIAL posting and discuss the following questions for EACH of this(these) Chapter(s):

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1. Detailed - Comprehensive Summary for EACH of this(these) Chapter(s).

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How to Write a Summary of an Article

https://owlcation.com/academia/How-to-Write-a-Summary (Links to an external site.)

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      Your Detailed - Comprehensive Summary for THESE chapters post should be no less of 1,700 words.

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2. Which are the three most CRITICAL ISSUES for EACH of this(these) Chapter(s)? Please explain why? and analyze, and discuss in great detail …

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    For EACH Critical Issue for EACH chapter please post at least two strong comprehensive paragraphs

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3. Which are the three most relevant LESSONS LEARNED for EACH of this(these) Chapter(s)? Please explain why? and analyze, and discuss in great detail …

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     For EACH Lesson Learned for EACH chapter please post at least two strong comprehensive paragraphs

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4. Which are the three most important BEST PRACTICES for EACH of this(these) Chapter(s)? Please explain why? and analyze, and discuss in great detail …

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     For EACH Best Practice for EACH chapter please post at least two strong comprehensive paragraphs

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5. How can you relate EACH of this(these) Chapter(s) with the TOPICS COVERED in class? Please explain, analyze, and discuss in great detail …

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6. Do you see any alignment of the concepts described in EACH of this(these) Chapter(s) with the class concepts reviewed in class? Which are those alignments and misalignments? Why? Please explain, analyze, and discuss in great detail …

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I expect high caliber reviews with top analyses and interesting insights for EACH of this(these) Chapter(s) !! If you have any questions, please let me know. I am here to help.