Long ignored, data archiving in most organizations today needs to be rethought and upgraded so it achieves modern goal.
- By Philip Russom, Ph.D.
- July 22, 2014
Instead of forecasting whether a prospect will take an action once they're contacted, persuasion modeling attempts to measure whether customers will take an action only if they're contacted.
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.