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 book - 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. We are moving into an era where information is potentially more valuable than tangible things or services. Organizations who connect information with their product will have a huge advantage, and conversely organizations that miss this transformation will find themselves increasingly un-competitive. No longer just something for the Information Technologists or Data Scientists to deal with, everyone who makes things or serves customers in some way needs to understand how people interact with their product or service in a very granular way. This book will help people in business and government understand the power of data analytics technology and how some of the tools available can be applied to a wide range of applications. John Swainson, former President, Dell Software Group John and Shawn bring decades of hands on experience helping clients understand where and how data and analytics can deliver business value and market differentiation. The authors do not get bogged down in the technology tail-chase, but instead provides clear and actionable guidance on how organizations need to embrace a 'business first' approach when considering how to exploit the business potential of big data. Like I ask my clients, "How effective is your organization at leveraging data and analytics to power your business?" It's a question this book will help you to address. Bill Schmarzo, CTO Big Data, Dell Technologies Services One could argue - and probably easily win the argument - that there has been more change in analytics over the past ten years than at any time in the history of the world. For that reason alone, a book like this one that provides a clear-eyed assessment of the state of the art in analytics is enormously valuable. Thomas H. Davenport
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.
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.
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.
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)
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.