Download PDF Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight, by Piyanka Jain Puneet Sharma

Download PDF Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight, by Piyanka Jain Puneet Sharma

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Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight, by Piyanka Jain Puneet Sharma

Download PDF Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight, by Piyanka Jain Puneet Sharma

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Review

“Jain and Sharma do a fantastic job of explaining how any reasonably intelligent person can make sense of data by starting with the problems they want to solve…” -- MindTools

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“Jain and Sharma demystify big data by revealing how to use it as a highly effective business tool...” -- Baseline “…takes a dauntingly huge subject - analytics - and reduces it to clear, usable chunks.” --Blue Heron Journal “…should be on the desk and in the hands of planners and decision-makers in organizations where good decisions matter. That’s everybody.” --Vancouver Business Journal “Experienced data scientists Piyanka Jain and Puneet Sharma offer an exceptionally clear, illustrated guide to data analysis, including meaningful, real case studies and actionable best practices… getAbstract recommends this commonsense, practical approach to managers, executives, entrepreneurs and professionals who don’t analyze for a living.” --getAbstract “Jain and Sharma have found a way to make the analysis of data engaging and easy to understand, even for those of us who are not mathematically inclined.” --Internal Auditing

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Book Description

There is a costly misconception in business today—that the only data that matters is BIG data, and that complex tools and data scientists are required to extract any practical information. Nothing could be further from the truth. In Behind Every Good Decision, authors and analytics experts Piyanka Jain and Puneet Sharma demonstrate how professionals at any level can take the information at their disposal and leverage it to make better decisions. The authors’ streamlined frame work demystifies the process of business analytics and helps anyone move from data to decisions in just five steps…using only Excel as a tool. Readers will learn how to: Clarify the business question • Lay out a hypothesis-driven plan • Pull relevant data • Convert it to insights • Make decisions that make an impact Packed with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80% of all business problems. Business analytics isn’t rocket science—it’s a simple problem-solving tool that can help companies increase revenue, decrease costs, improve products, and delight customers. And who doesn’t want to do that?

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Product details

Hardcover: 256 pages

Publisher: AMACOM; First edition (November 5, 2014)

Language: English

ISBN-10: 0814449212

ISBN-13: 978-0814449219

Product Dimensions:

6.3 x 0.9 x 9.2 inches

Shipping Weight: 1.1 pounds (View shipping rates and policies)

Average Customer Review:

4.7 out of 5 stars

35 customer reviews

Amazon Best Sellers Rank:

#93,147 in Books (See Top 100 in Books)

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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