Analytics: How to Win with Intelligence

by John K. Thompson

Learn how big data and other sources of information can be transformed into valuable knowledge - knowledge that can create incredible competitive advantage to propel a business toward market leadership.

Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the ethical and privacy issues, and apply the three-part litmus test of context, permission, and accuracy.

Without a doubt, data and analytics are the new source of competitive advantage, but how do executives go from hype to action? That's the objective of this audiobook - to assist executives in making the right investments in the right place and at the right time in order to reap the full benefits of data analytics.

Audible Audio

Published April 17, 2018

About the author

Two years after publication, the book remains in the top 10 best selling books in the analytics category on Amazon.

The book is targeted to non-technical C-level executives. The premise of the book is to give these executives a glimpse into what analytics are, what can be accomplished, what successful projects and teams look like and how they can engage with technical professional to implement successful analytics projects to drive operational results.

The book is available at:
- Amazon & Audible: https://lnkd.in/evpeU6p
- Hudson Books online: https://www.hudsonbooksellers.com
- Selected Hudson Books stores.
- I have seen the book in Hudson's in Newark Airport.
- Please tell me where you have seen the book.
- Technics Publications: https://technicspub.com/
- Barnes&Noble: https://www.barnesandnoble.com/w/anal...

I hope that you find the book valuable and useful

Reviews

[Levi Schenk · Rating 4 out of 5]

Great start into the Analytics field

This book is the start for people to understand what is happening and possible in data analytics in the business area (and subsequently personal as it leads to consumers). Along with the possibilities through real-world examples, the book also put you in the right frame of mind by sticking you on the ethical path to know the difference between what you can do versus what you should do.

[Malvin · Rating 3 out of 5]

Even though the book was published 4 years ago, the concepts are still largely relevant today. Granted some of the examples will sound less impressive today but if you're new to analytics, this is a great introduction with numerous uses cases across a variety of sectors. It tells the story about how data is now abundant, ubiquitous and democratised, driving new approaches and skills to harnessing value from data, specifically via algorithms and advanced analytics as opposed to the traditional business intelligence. Focussing on business drivers, processes, roles and structure, it provides a model on how organisations can effectively implement analytics across the organisation through the Analytic Centers of Excellence and the role of a Chief Analytics Officer or Chief Data Officer. Covering a range of examples on the use of analytics across departments and businesses, it also touches on examples of how analytics can potentially overstep ethical, privacy and legal boundaries. Definitely not technical in nature as it is more suited for management, it understandably contains technologies that have been superseded due to its age, but overall, it is a good short read on why analytics plays a key role in today's digital economy.

[Mrs D A D Brook · Rating 5 out of 5]

John, Sean. You book clearly sets out what it intends to deliver and does not disappoint. To the point and straight forward your voices come through as speaking with the authority that comes from experience. This all happens without resorting to jargon or low grade ns

"management consulting speak." Thanks for getting all of this into one volume. Looking forward to volume # 2 ( Declaration. Reviewer has worked with the Authors in the past)

[Adrian Mendoza · Rating 3 out of 5]

More of a beginners guide that is a few years out of date (because the industry is advancing so quickly). If you're in the field or at all familiar with basic big data and analytics concepts you will want to skip this one.