Start planning for a world where signals are harvested from external repositories through APIs with built-in analytics.
Wal-Mart had a big data problem before it was called “big data.” So did McDonald’s and any number of other massive companies.
The massive firepower of big data processing systems to distill enormous amounts of data is being combined with real-time information.
Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data:
A large amount of data is now being created by Web servers, point of sale systems, RFID sensors, networks, and a variety of other systems that have long been used by people in the data center for diagnostic purposes and for performance analysis.
CIOs and CTOs must learn to address a challenge, involving the divide between the people who know about the vast amount of new sources of data emanating from machines and other devices (“big data”) and the questions in the enterprise whose answers can be monetized.
Everybody knows about IRS audits. Much less well understood are Oracle audits where the software behemoth comes into a company and – much as the IRS wields the proverbial fine-toothed comb to hunt for irregularities – Oracle uses its version of a fine-toothed comb to sift through a company’s software library and its licenses. Every piece of software is inspected, and so are the appropriate Oracle licenses and contracts.
How is your organization going to harness the power of mobile devices? In many ways, the answer to this question is a proxy for your approach to technology in general.