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Book Description
Publication Date: October 7, 2013 | ISBN-10: 1118739574 | ISBN-13: 978-1118739570 | Edition: 1
Leverage big data to add value to your business
Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value.
Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data.
- Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes
- Explores different value creation processes and models
- Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles
- Provides methodology worksheets and exercises so readers can apply techniques
- Includes real-world examples from a variety of organizations leveraging big data
Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
Editorial Reviews
From the Back Cover
For decades, all of the technologies that organizations used to measure and forecast their operations were a small niche in enterprise computing. That situation reversed itself a few years ago, and now the inevitable emergence of big data demands clear thinking and advice.
Bill Schmarzo is the real deal. He shares his experience and know-how freely in a book that lays it out without hype."
—Neil Raden, CEO & Principal Analyst, Hired Brains Research
Big Data offers good sense, practical guidance, and pragmatism in what is at present a confused, confusing, and overly theoretical area. Anyone venturing into the big data outback would do well to stick Bill's book in their backpack."
—Marc Demarest, CEO and Principal, Noumenal, Inc.
Bill is a leading voice in big data technology and the impact to business, and is referred to in the industry as 'the Dean of Big Data.' If you want the straight scoop on how and what to do with big data, read Bill's book."
—John Furrier, Founder and CEO, SiliconANGLE Media, and co-host of @theCUBE
Learn to leverage big data and boost business value
Big data is more than another hot technology trend. In fact, it's as much about business transformation as about technology. It's about leveraging the unique, actionable insights gleaned about your customers, products, and operations to rewire your value creation process and optimize your key business initiatives. Big data is about making money.
This book tackles big data business opportunities head-on. You'll find practical advice, techniques, methodologies, downloadable worksheets, and many examples gained from years of working with some of the world's leading analytics-driven organizations. You'll learn to:
- Leverage the Big Data Business Maturity Index to identify where and how big data can deliver meaningful business value
- Identify the "right" metrics against which to measure the success of your big data initiative
- Understand key big data technologies and advanced analytic developments
- Leverage industry standard value creation models such as Michael Porter's Five Forces and Value Chain to identify how the big data business drivers can impact your organization's key business processes
- Summarize big data best practices, approaches, and value creation techniques into a Big Data Storymap to guide your organization
About the Author
Bill Schmarzo is the Chief Technology Officer for EMC Global Services' Enterprise Information Management & Analytics service line. Nicknamed the Dean of Big Data, he is responsible for setting strategy for EMC's big data consulting business. He created the Business Benefits Analysis methodology and has served on the faculty of The Data Warehouse Institute.
Product Details
- Paperback: 240 pages
- Publisher: Wiley; 1 edition (October 7, 2013)
- Language: English
- ISBN-10: 1118739574
- ISBN-13: 978-1118739570
- Product Dimensions: 9.3 x 7.4 x 0.5 inches
- Shipping Weight: 12 ounces (View shipping rates and policies)
- Average Customer Review: 5.0 out of 5 stars See all reviews (2 customer reviews)
- Amazon Best Sellers Rank: #331,041 in Books (See Top 100 in Books)
Most Helpful Customer Reviews
2 of 3 people found the following review helpful
5.0 out of 5 stars A very practical roadmap for the Big Data Implementer November 8, 2013
By D. Moore
Format:Paperback
If you were stranded on a desert island and needed to develop a big data plan for your organization before you were allowed to get off, I would start with this book. Just published in Oct 2013, EMC's Schmarzo delivers the practical goods on how to stand up big data in your organization. Schmarzo not only provides a good overview of BD as well as the products and the big data tools and their functions but also, the path and a number of business cases on how companies benefit from adopting this technology. On your big data journey, start here. You won't regret it.
1 of 2 people found the following review helpful
5.0 out of 5 stars The ABSOLUTE BEST Big Data book from industry expert February 6, 2014
By Erick Laseca
Format:Paperback|Verified Purchase
Successful advanced analytics capability for marketing organizations involve integrating point of sale (POS), demographic, behavioral, social, mobile, CRM, third party web and retail loyalty program, digital marketing platform (DMP), psychographic and channel attribution data into insights for activation on demand-side platform (DSP), social media, segmentation, pricing, new product development and media mix optimization.
At my organization, we’re starting our big data journey with a focus on digital marketing and will roll in additional programs - including pricing, segmentation, new product development, marketing mix optimization and integrated supply chain - as we develop this capability. I’ve been researching big data through consultants and in-house experts, and I’ve found Bill’s book to be an enormous help. His insights into the process before the implementation are things that other big data firms won’t share (or simply don’t know). He’s leveraged his many years of big data expertise with Yahoo!, P&G and now EMC to create this powerful tool that will help any firm determine the necessary steps to take on their big data journey.
The 3 steps for implementing a big data analytics infrastructure include:
1. Understand personas (decisions, questions, KPIs)
2. Identify a process for data ramifications (how does data impact my value drivers)
3. Assess user experience (format of analytic results for decision-makers)
If you read one book on big data, this should be it. Bill Schmarzo is an expert in big data and his book is sure to provide the information you need to understand the complex world of advanced analytics and guide you through the process of developing your own big data capability.
At my organization, we’re starting our big data journey with a focus on digital marketing and will roll in additional programs - including pricing, segmentation, new product development, marketing mix optimization and integrated supply chain - as we develop this capability. I’ve been researching big data through consultants and in-house experts, and I’ve found Bill’s book to be an enormous help. His insights into the process before the implementation are things that other big data firms won’t share (or simply don’t know). He’s leveraged his many years of big data expertise with Yahoo!, P&G and now EMC to create this powerful tool that will help any firm determine the necessary steps to take on their big data journey.
The 3 steps for implementing a big data analytics infrastructure include:
1. Understand personas (decisions, questions, KPIs)
2. Identify a process for data ramifications (how does data impact my value drivers)
3. Assess user experience (format of analytic results for decision-makers)
If you read one book on big data, this should be it. Bill Schmarzo is an expert in big data and his book is sure to provide the information you need to understand the complex world of advanced analytics and guide you through the process of developing your own big data capability.
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