Big data seems like a complex, complicated and potentially expensive investment that leaves many executives pondering whether they should jump aboard this latest and greatest analytics boom or wait for the next big thing in IT, FCW reports.
Bill Franks, author of “Taming the Big Data Tidal Wave” and chief analytics officer at Teradata, believes that public- and private-sector organizations that capitalize on big data in the technology’s infancy will seize an early competitive advantage. Those that wait for answers to early questions about big data — and there are many — will almost certainly lag behind early adopters in formulating intelligent IT initiatives.
For businesses, that means decreased profits. For federal agencies, it means continued inefficiencies and missed opportunities to benefit taxpayers.
Franks’ focus is on helping the reader understand rapidly evolving technologies and how organizations can use big data to frame decisions and create an organizational culture around analytics.
Franks is less concerned about a proper definition than in conveying the idea that big data will change.
Today it is typically considered to be data whose size or complexity is beyond what traditional database software tools can capture, store and analyze. But despite the “big” in big data, size isn’t the only challenge. Structure — or how the data is mashed together — is also important to analysts hoping to generate insights from data troves.