IBM and Big Data: Acquisitions Drive Big Blue's Strategy
Every day, people create the equivalent of 2.5 quintillion bytes of data from sensors, mobile devices, online transactions and social networks—so much that 90 percent of the world's data has been generated in the past two years. It's no surprise, then, that big data is one of IBM's top strategic priorities. According to a Forrester Research report issued in January, IBM is an "unshakable leader" in big data predictive analytics solutions. IBM's big data strategy has included the expansion of R&D, acquisitions and business initiatives across its software, hardware and services portfolio. In the last five years, IBM has invested more than $16 billion in 30 acquisitions to boost its big data analytics portfolio. The latest, StoredIQ—an Austin, Texas-based company that complements IBM's big data offerings to help organizations develop tools for governance and management of information—closed Feb. 7. IBM said the acquisition advances its efforts to help enterprises derive value from big data, respond more efficiently to litigation and regulations, and in an automated way dispose of information that has outlived its purpose. This eWEEK slide show takes a look at IBM's key big data acquisitions.