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44 of 49 people found the following review helpful
2.0 out of 5 stars Lots of irrelevant talking but few useful instructions, January 14, 2012
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This review is from: Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know (Hardcover)
This book is mainly talking about how important the data analysis is while containing little instruction about how to do it. It takes you forever to find the useful methods and approaches to implement the analysis. If you just want to read the story of the situation of the company before the data analysis is implemented and that after the data analysis is done, buy this book. If you want to learn how to do data analysis, find another book.
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Showing 1-3 of 3 posts in this discussion
Initial post: Jan 5, 2013 7:50:37 PM PST
C. Hsien says:
You are right. This book will help someone who is starting out in data marketing. Author is right that in most organizations, results are not measured because people don't want to be accountable. We must measure results and metrics are important. This book educates us on the correct metrics.

We also know that segmenting the data by quadrants help us zoom down to the issues. We know to compare performance by time, before and after.

I have been a intermediate data analyst and this book doesn't help me much. I would have preferred a hands on with sample data sets. But I guess no author will share real life examples, it is upon us to learn at the job, by mistakes or from our seniors.

Using the excel template is easy, But the problem is making the assumptions about the revenue and rates. This is the key.

In reply to an earlier post on Mar 1, 2014 9:41:58 PM PST
Eddy says:
May you be so kind to help fellow marketers here who wanted to do well in data marketing that you will be kind enough to offer intermediate book recommendation for data- driven marketing?
Thank You

Posted on Jun 28, 2014 5:05:28 PM PDT
Jeremy Mott says:
Please, please tell us the books that offer "useful methods and approaches to implement the analysis." Please, please tell us the books that instruct us on "how to do data analysis." You've condemned this book for its lack of instructions; can you recommend another book? Please.
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