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.
Additive manufacturing paths to performance, innovation, and growth.
|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.