https://padlet.com/adelarosa6/b9tdqf63z0du en-us 2019-01-25 16:52:11 UTC 2019-03-21 13:30:49 UTC hello@padlet.com https://padlet-assets.s3.amazonaws.com/icons/Thunder.png adelarosa6 https://padlet.com/adelarosa6/b9tdqf63z0du/wish/324402227 Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves]]> 2019-01-25 16:53:08 UTC https://padlet.com/adelarosa6/b9tdqf63z0du/wish/324402227 adelarosa6 https://padlet.com/adelarosa6/b9tdqf63z0du/wish/324403990 While the term “big data” is relatively new, the act of gathering and storing large amounts of information for eventual analysis is ages old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three vs: volume, velocity, variety, variabilty.]]> 2019-01-25 16:56:33 UTC https://padlet.com/adelarosa6/b9tdqf63z0du/wish/324403990 adelarosa6 https://padlet.com/adelarosa6/b9tdqf63z0du/wish/324406943 The importance of big data doesn’t revolve around how much data you have, but what you do with it. You can take data from any source and analyze it to find answers that enable 1) cost reductions, 2) time reductions, 3) new product development and optimized offerings, and 4) smart decision making.]]> 2019-01-25 17:02:13 UTC https://padlet.com/adelarosa6/b9tdqf63z0du/wish/324406943 adelarosa6 https://padlet.com/adelarosa6/b9tdqf63z0du/wish/324407554 2019-01-25 17:03:45 UTC https://padlet.com/adelarosa6/b9tdqf63z0du/wish/324407554