
Authoritative.
Strategic.

There may be no corporate function that throws off more data than the corporate call center. "Every contact is counted, routed, measured and scored. Agent performance is actively measured," says Tony Filippone, executive vice president of research for sourcing analyst firm HfS Research. "Other key process owners, like finance and accounting or claims adjudication,wish their data was as rich."
Big Data is a powerful lure, promising to turn the massive and ever-increasing volumes of data inside an organization into a pool of intelligence that promises deep, actionable insight into every aspect of a business. However, that lure can lead you into an expensive trap if you don't plan carefully.
Few companies in the world have access to datasets as large as Google does, and, unsurprisingly, Google is one of the companies at the forefront of Big Data analytics. Now Google plans to share the wealth by giving others access to its data crunching infrastructure with its new Google BigQuery Service.
IBM today came out with its first iteration of the analytics software package that it expects will help law enforcement, government agencies and private businesses wade through the massive amounts of data they collect to help them predict, disrupt and prevent criminal, terrorist and fraudulent activities.
Disk storage is a lot like closet spaceyou can never have enough. Nowhere is this truer than in the world of big data. The very name"big data"implies more data than a typical storage platform can handle. So where exactly does this leave the ever-vigilant CIO? With a multitude of decisions to make and very little information to go by.
Five key points CIOs should know when considering big data
Big data is an IT buzzword nowadays, but what does it really mean? When does data become big?
Big Data is all the rage these days, and more than a few organizations are at least wondering what sort of business intelligence they could derive from all the information at their disposal.
A second technology making a significant impact on solving Big Data problems is in-memory computing, which takes workloads that were traditionally resident on disk-based storage and moves them into main memory. This delivers a performance improvement many times above that which has been possible previously.
According to IDC’s Digital Universe report the data created globally on an annual basis will leap from 1.2 zettabytes this year to 35 zettabytes in 2020 (one zettabyte is equal to one billion terabytes).
The processes explored in this report simplify the approach to evaluate business impacts associated with poor data quality and explain how one can define metrics that capture data quality expectations and acceptability thresholds. Read the full report now.
When it comes to the terabytes of confidential and proprietary data on corporate networks, companies often use kid gloves to secure the data. This begs the question, why are office ...
Developed by the CIO executive Council, Pathways is a unique, flexible, self-managed, self-paced 12-month CIO designed and delivered ...