Explore the vast range of titles available.

This invaluable resource examines the forces behind the explosive growth in data and reveals how the most innovative companies are responding to this challenge. The Internet used to be a tool for telling your customers about your business. Now, it's real value lies in what it tells you about them. Every move your customers make online can be tracked, catalogued, and analyzed to better understand their preferences and predict their future behavior. With mobile technology like smartphones, customers are online almost every second of every day. The companies that succeed going forward will be those that learn to leverage this torrent of information-without being drowned by it. Data Crush clarifies the key drivers in this emergence, such as: * the proliferation of \"big data\" generated by a never-ending range of online activities (and the mobility that enables much of it); * the seemingly infinite array of digital commerce and entertainment pathways; * and the rising growth of Cloud computing. These and other factors combine to create an overwhelming universe of valuable information - all constantly updated in real time with billions of mouse clicks each day. It's daunting, but with this onslaught of information comes tremendous opportunity - and Data Crush will help you make sense of it all.

The Internet used to be a tool for telling your customers about your business. Now its real value lies in what it tells you about them. Every move your customers make online can be tracked, catalogued, and analyzed to better understand their preferences and predict their future behavior. And with mobile technology like smartphones, customers are online almost every second of every day. The companies that succeed going forward will be those that learn to leverage this torrent of information—without being drowned by it. Balancing examples from giants like Amazon, Home Depot, and Ford with newer players like Rovio, Groupon, and scores of niche-market winners, Data Crush examines the forces behind the explosive growth in data and reveals how the most innovative companies are responding to this challenge. The book clarifies the key drivers: the proliferation of “big data” generated by a never-ending range of online activities (and the mobility that enables much of it); the seemingly infinite array of digital commerce and entertainment pathways; and the rising growth of Cloud computing. These and other factors combine to create an overwhelming universe of valuable information—all constantly updated in real time with billions of mouse clicks each day. It’s daunting, but with this onslaught of information comes tremendous opportunity—and Data Crush will help you make sense of it all.

Big data has often been defined as the collection, analysis, and use of vast quantities of data. But existing tools already do that; what makes big data different is the ability to discover previously undetected relationships through large and sometimes unrelated sources. As with all technologies, big data does have a dark side. The collection of vast quantities of data can enhance people's lives, but it can also be used to control, manipulate, and exploit. Realizing the promise of big data in developing economies requires a revolution both in the use of technology and its application. Only significant change on both fronts will allow big data to fully aid development. Big data can and will be relevant in developing economies, but how quickly and how effectively depends on what people do now. To realize big data's full potential, they must enable both new information sources and new thinking about how to use them.

In my frequent engagement with business, regulatory and political leaders on the topic of big data I am often asked: \"Who is getting Big Data right, and what are they doing differently to get positive results?\" I'm asked this question often enough to get the sense that few organizations seem to be seeing positive results from their big data efforts. In this vein, I offer the following six signs that an organization will likely fail at big data, and a bit of guidance on how not to join them. 1.Management Wants to See an ROI Before You Start Much of the recent hype surrounding big data focuses on disruption; how data analytics can lead to insights that allow businesses to completely transform themselves. If you follow this line of thinking, you'll see that the standard practice of developing a return on investment (ROI) analysis for big data is a most asinine exercise. If they don't get what I'm saying within a couple of minutes I'm usually pretty certain that whatever they subsequently invest in will fail to generate much, if any, disruption. 2.Your Data Warehouse Team is Leading the Effort If ever there was a fox in the henhouse in technology, it is when data warehouse experts are asked to do big data. If you assign your big data efforts to your existing analytics or warehousing team you'll likely find one of two outcomes; either your team of existing experts willingly throws away their decades of experience, expertise, knowledge and...

The Internet used to be a tool for telling your customers about your business. Now its real value lies in what it tells you about them. Every move your customers make online can be tracked, catalogued, and analyzed to better understand their preferences and predict their future behavior. The companies that succeed going forward will be those that learn to leverage this torrent of information--without being drowned by it