Big data shouldn’t mean big reports. On the contrary, big data should reveal key insights that are easily digestible for your team. It should enable you to take action that you’re confident can drive results for your enterprise.
As is all too common with big data, many enterprises are failing to realize opportunities because they’re hidden in their information chains. Understanding the nuances of leveraging big data is hugely important, as are the economic repercussions.
Big data moves faster, changes more rapidly, and has the potential to provide deep insights that weren’t previously possible. It makes sense, therefore, to adapt our business processes to handle big data and data velocity.
Success today is all about data: collecting it, harmonizing it, analyzing it, and quickly making the smartest business moves in response to it. In fact, a McKinsey study revealed that organizations that embrace customer analytics strategies have been shown to outperform their competitors and improve their corporate performance. An elastic data hub architecture can make those benefits a reality for your organization through greater speed, power and flexibility.
According to IBM, 2.5 exabytes of data are generated each day. Every click, like, share and mention generates unlabeled data that can’t be dealt with by traditional statistics. Harnessing this data to deliver personalized user experiences can translate into billions of dollars of incremental revenue: This is the province and promise of deep neural networks (DNNs).