Ebook Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight
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Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight
Ebook Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight
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Product details
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Audible Audiobook
Listening Length: 5 hours and 49 minutes
Program Type: Audiobook
Version: Unabridged
Publisher: Gildan Media, LLC
Audible.com Release Date: November 5, 2014
Language: English, English
ASIN: B00P9MYT8I
Amazon Best Sellers Rank:
I very much appreciate the expertise of the main author Piyanka Jain. I find it refreshing to read a perspective that ignores the hype that is Bid Data. She writes that 80% of analytics-based decisions don't require big data and I'm sure that would include analytics at most companies. Bravo.The bulk of the book outlines the BADIR framework for getting from data to decisions: 1. Business Question 2. Analysis Plan 3. Data Collection 4. Derive Insights 5. RecommendationsThis looks like a rock-solid method to use, start to finish. My main critique is this: This plan is essentially theoretical in the sense that most analysts need to fit into the environment that their manager has created for the department. For example I was once given a very large data set and told simply to find the significant patterns (very challenging). I hope people in positions of leadership can get a hold of this book and learn the correct steps for analysis.
Year 2016: I don't exactly remember how and why I ended up buying this book. It was the best thing I ever did in my pursuit of Analytics knowledge. If only I had known about this book or Aryng.com, I would have saved myself a trip to NYC for a Business Analytics boot camp and also saved enough money to buy a sports car.This book ought to be made a textbook in every college. The Content is structured in a way that a 2-3 day workshop can be organized for working executives to make them data & analytics literate. I loved the clarity, structure, flow, framework, and all the examples. Someone with no analytics background can comfortably read and gain substantial knowledge, at least enough to have a conversation with those in-the-know and also handle moderate level data analysis more comfortably by themselves.This is definitely a must-read for those coming from a non-analytics background, no matter what age and employment level they are at. It's a shame they don't organize workshops.
As a career coach I often come across clients, who want to get into analytics. With the emergence of Big Data Business Analytics has now become a hot field where plenty of jobs are opening and more will open faster and faster. I was curious about this area, so I purchased the Kindle edition. The book is very well organized in four short chapters with an appendix. Each chapter is carefully crafted to lead a novice (or an expert) through the material to give them what they are looking for. The style of presentation is fluid and is structured to keep a reader engaged with great illustrations, tables, and other aids throughout. At the end I felt that this book will serve well for anyone--from a novice as myself-- to an expert who wants to learn more about specific applications. All in all, this is a great book that every business manager, technologist, and executive must not just own but read and re-read to keep their skills honed as they navigate through their careers. Great job, Piyanka and Puneet!
What a find! Every HR practitioner who wants to keep their job in the future needs to read this book.This book lays out a very pragmatic framework for solving business problems using straight-forward business analytic and has direct application for HR leaders and practitioners. HR needs to figure out ways to measure the impact that people have on business strategies and should be asking themselves "are we using data to solve our most critical human capital issues?". Not only does the book help lay out a good solid model it also addresses more complex approaches to data analytics but does so in a way that puts it in the right place. We tend to think that predictive analytics is the future. But predictive analytics and other more complex analyses are only needed a small fraction of the time.One more point. I have a PhD from Stanford and was struggling to apply what I had learned about research to business world realities. The business world does not give you 3-5 years to solve a problem. At best you get a few weeks. The book was the perfect bridge between my academic thinking and training and how to apply what I had learned in grad school to the business world.
This book is written primarily for novice and intermediate analyst or the business person looking to dig a little deeper into the benefits an analytics project can deliver.. It takes an excellent, well structured (surprised?) approach to analytics. Jain offers a straight-forward end-to-end process for developing and executing an analytics project. BADIR begins with the Business question to be addressed, and concludes with final Recommendations. The author adds important perspectives and wisdom grounded in experience throughout.
Behind Every Good Decision is a superb guide for those looking to harness the power of information and data for identifying high-value business opportunities and making decisions that impact the bottom line. It addresses both the technical side and the softer side of Business Analytics. Jain and Sharma outline a systematic approach to the business decision-making process demonstrating how good decisions are made together with intuition and data. I really enjoyed the book because it sorts through all the hype surrounding Business Analytics and it highlights the pitfalls typically encountered when leading a technically challenging project. The book has excellent illustrations and is engaging from cover-to-cover.
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