How to Improve Your Business By Making Analytics Operational In The Big Data Era The Analytics Revolution (Hardback) - Common

by Bill Franks

Lead your organization into the industrial revolution of analytics with "The Analytics Revolution"

The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. "The Analytics Revolution" focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not.

"The Analytics Revolution" delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes: An overview of what operational analytics are and what trends lead us to themTips on structuring technology infrastructure and analytics organizations to succeedA discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discoveredGuidance on how to justify, implement, and govern operational analytics

"The Analytics Revolution" gives you everything you need to implement operational analytic processes with big data.

Genres: Business, Nonfiction, Technology

Unknown Binding

First published March 19, 2012

About the author

Bill Franks has spent his career focusing on analytics, data science, AI, and big data. He began his career in hands-on roles coding and building models, and then advanced to hold Chief Analytics Officer positions in both large, public company and small, private organization environments.

Franks is also the author of the books Taming The Big Data Tidal Wave, The Analytics Revolution, and 97 Things About Ethics Everyone In Data Science Should Know. He is a sought after speaker and frequent blogger who has been ranked in multiple global influencer lists tied to big data, analytics, and AI, and was an inaugural inductee into the Analytics Hall of Fame.

Bill's work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations.

You can learn more at http://www.bill-franks.com.

Reviews

[Kathy · Rating 4 out of 5]

The book was excellent, informative and fun to read.
And the title is perfect for the subject.

Whether you are a manager, statistician, or programmer, the examples and simple analogies the author used in his chapters were excellent in illustrating technical and analytical concepts.
The numerous topics relating to Big Data were covered in a thorough but concise, organized, and easy to follow manner.

I would highly recommend this book to anyone who works with Data or in Analytics.

[Horst Walther · Rating 4 out of 5]

An excellent introduction, if you want to learn about 'operational analytics'.
The authors BLOG is recommend as well.

[Ekaterina · Rating 4 out of 5]

Отличная книга, если вы только начинаете разбираться в вопросе. Хорошая - если уже имеете представление о больших данных. Как отмечает автор - директор по аналитике Teradata Билл Фрэнкс, все существующие ныне понятия неоднозначны, по мере развития технологий определение будет изменяться, именно поэтому особое внимание следует уделять технологиям и источникам.

[Dan Voronov · Rating 4 out of 5]

Книга в общем об в общем. Может быть первой книгой если желаете узнать как работают аналитики, но не погружаясь в детали. Понравилась идея трех эволюционных этапов аналитики и что новые модные big data методы всё равно кореняться в старых. При этом мне б хотелось более систематического подхода к теме, а его тут нет. Скорее взгляд опытного эксперта и пару дельных советов.

[Tomas Nilsson · Rating 3 out of 5]

A hood read for anyone interested in the “what” - what needs to be done to incorporate analytics in an organization. Albeit now quite dated by business book standards, the book contains several key timeless observations around organizational dynamics, internal competition, why analytics isn’t another one of those IT-ops and incentives.

[Mohamed · Rating 2 out of 5]

Very High Level book. Enjoyed first 2 parts. very boring 3rd part.

[Phil Simon · Rating 4 out of 5]

A nice overview of a very important trend. It's not overly technical. I would have preferred a few case studies and more detailed examples.

[Yulin Zhuang · Rating 4 out of 5]

Felt like a primer on Big Data aimed at executives looking to dip their toes in. A little hyperbolic, very prescriptive, but a quick read.

[Julie · Rating 2 out of 5]

Just the same ole' generic commentary on all the what-ifs and hopeful ideas regarding big data.
I was looking for more substance.

[Simón · Rating 4 out of 5]

Very good read for any Analytics professional. Insightful views of the industry, the changing rôle of Analysts and most important: the key toward the next Analytics-fueled Revolution...