From continuous analytics to operational intelligence to good old complex event processing, the future is one of streams: lots and lots of streams.
- By Stephen Swoyer
- July 22, 2014
In an effort to protect their privacy, consumers may be providing merchants with inaccurate data.
- By Mike Schiff
- July 15, 2014
In-memory analytics processing and access to live data is finally achievable and will make active live analytics a real possibility, and that opens up a new area of information processing and exchange.
Most data is dumb; it is hard to find, hard to combine with other data, and hard to understand. If data is dumb, then big data is very dumb. Here are five steps to making it smart.
We explain the business and technical challenges that motivate the need for smart data.
Huge amounts of climate data is available for free to journalists and the general public. One challenge is finding easy-to-use data analysis tools that can effectively help users visualize the raw big data.
- By Linda L. Briggs
- July 8, 2014
Preserve the meaning of BI by making every possible technology serve it.
To get the most value and greatest insight from your analytics, embed your analytics into your business processes.
- By Fern Halper, Ph.D.
- July 1, 2014
It can be fiendishly hard to translate a BI and analytic practice to the cloud. It can be no easier to spin up a new BI and analytic practice.
- By Stephen Swoyer
- July 1, 2014