Everywhere you look in tech today you’ll read / hear about big data and all the many uses businesses could get from it. Businesses do certainly need to become more data driven and in fact the business model for the Information Age is something we’ve referred to as “sense and respond”. Moving from the old “make – sell” business model to the new sense and respond model requires data across all your business functions. On the other end of that requirement we’re creating massive amounts of data every second so you’d think that it would be a simple matter to implement the sense and respond model. The problem though. is that having lot’s of data and needing lot’s of data leaves out an important part of this equation…the process of turning mountains of data into actionable information is just not simple.
- Banking payment fraud detection and investigation
- Public sector assigning law enforcement based on predicting where / when crimes are likely to happen
- Retail optimizing merchandise placement in stores
- Asset intensive industries monitor and analyze real time machine sensor data to predict and correct failures before they happen
- Insurance claims fraud detection
- Retail making purchase suggestions based on previous transactions and macro buying trends (although that has issues, see the next paragraph)
- Healthcare evidence based medicine
In the next post, I will look at a newish concept called small data. I think that perhaps the big data movement distracts us in some ways from what might be a much bigger revolution around mass democratization of data access and processing. Building out an ecosystem of data and people, or expanding the definition of the enterprise social network (ESN), may be the biggest win for companies.
(Cross-posted @ Michael Fauscette)