Big data analytics is being offered as the key to addressing a wide array of management and operational needs across business and IT. But the label “big data analytics” is used in a variety of ways, confusing people about its usefulness and value and about how best to implement to drive business value. The uncertainty this causes poses a challenge for organizations that want to take advantage of big data in order to gain competitive advantage, comply with regulations, manage risk and improve profitability. Should organizations invest further into visual or deep data discovery on big data, or delve more deeply into statistics and predictive analytics, or find new ways to integrate big data into current operational systems?
Topics: Predictive Analytics, Sales Performance, SAP, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Information Applications, Information Management, Data discovery, visual discovery, big analytics, bigdata analytics, real time analytics