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Big Data

The potential of big data is immense. Remove constraints on the size, type, source and complexity of useful data, and businesses can ask bolder questions. Technology limitations that once required sampling or relied on assumptions to simplify high-density data sets have fallen to the march of technology. Long processing times and dependencies on batch feeds are being replaced by on-demand results and near real-time visibility. Processing becomes focused on flows vs. stocks of data. External and unstructured data have moved from indecipherable black boxes to sources rich with insight. Web logs, social media streams, RFID and other sensor data, click-streams and a host of other sources can be used for practical business advantage. This transformation changes the questions that can be asked, but it also requires new tools and techniques to get to the answers.

Featured insights

	Data: A growing problem There’s no dispute, data volumes are growing exponentially. Huge amounts of data are generated every hour of every day, and this data comes from an ever-increasing variety of sources. It also captures growing volumes of increasingly complex data about customers, suppliers, and operations.
	The insight economy: Big data matters – except when it doesn’t For a lot of executives, big data is the land of false promises and lost dreams – another overhyped trend in a long line of trends-that-weren’t. If you’re ready to skip past all the paradigm-shifting, game-changing clichés about big data and get to the stuff that matters - we’ve developed a guide to help get you started.
	The Backstory on Big Data: What TMT Executives Should Know By applying analytics to Big Data, organizations can analyze large volumes of rapidly evolving data streams to improve insight and decision making. What should technology, media and telecommunications (TMT) executives consider regarding Big Data's possibilities and capabilities?
	Does Big Data Still Need the Human Touch? Visualization offers individuals an analytical window into rapidly expanding big data sets. Yet, given that analytics and other automated data management tools can analyze more data efficiently, is human analysis of data still worth the effort? Explore the Debate with perspective from David Steier, director, Deloitte Analytics, and cast your vote.
	Should big data drive big decisions? This year, many companies are taking on big data – ramping up tools and technologies to find signals and insight in unstructured, often external, and generally messy data. While big data may be ready for business, are business leaders ready for big data?
	Big data demystified: Using unstructured data for competitive advantage Discover how Big Data can be a critical element to supporting an adaptive, customer-centric organization.
	Big data becomes a big deal In TMT prediction 2012, Deloitte predicts that in 2012, “big data” will likely experience accelerating growth and market penetration.
	Big data goes to work The competition between big data and traditional enterprise data is over: they both win.