The Ultimate Conversation Starter
Embedded Analytics Gives Real-Time Data You Need To Start Talking
If you want to get to the bottom of something, you have to do some digging. And the best way to start that metaphorical digging is with a question. This applies to all sorts of investigations – from a doctor asking a patient a series of questions in order to diagnose an ailment to Columbo’s seemingly absent-minded questioning of a suspected murderer.
In both my examples, the questioning takes on the form of a conversation even though it is clearly one person interviewing the other. The best doctors don’t grill their patient. They ask questions and carry on a conversation in order to discover what’s wrong. (Watch Columbo carry on one of his classic conversations.)
The idea of starting with a question and conducting discovery through a conversation is a central theme in a new research report from CITO Research, a company that specializes in digging into trends and technologies. (Download the free report here.)
According to CITO Research, the most efficient way to start that conversation is through embedded analytics. “Search comes naturally to users who use Google or other search engines,” according to CITO Research. “People think in terms of questions, not queries. Software needs to support that natural inclination.”
Gartner defines embedded analytics as the use of reporting and analytic capabilities in transactional business applications. These capabilities can actually reside outside the application, reusing the analytic infrastructure built by many enterprises. However, to be considered embedded they must be easily accessible from within the application itself.
Embedded analytics are pushing business applications forward by giving users a greater ability to uncover and discover valuable insights into the information the organization has already collected.
Gartner predicts that within two years (by 2015), according to an article in Enterprise Apps Today, 25 percent of all analytics capabilities will be embedded in business applications. That is up from just 5 percent of all capabilities in 2010.
It is clear that more and more enterprises are recognizing the importance of embedded analytics in their day-to-day operations.
As the developer of entellitrak, a dynamic case management and business process management (BPM) software platform, MicroPact understands how vital embedded analytics are to the enterprise. We know that business is conducted in real time, and that means no one can afford to wait the weeks or months traditional business intelligence (BI) tools need to deliver analytical reports.
There are other disadvantages with traditional BI applications. I discuss the “special problem” in an earlier blog based on a presentation by Jamie Popkin, Gartner Managing VP. CITO Research and other analysts stress again and again that the best data is the data that you can use – and use now.
The entellitrak team created the Natural Language Analytics module to answer the growing demand from our existing customers as well as the realization that in today’s competitive world enterprises need real-time analytics tools in order to be as proactive as possible.
The Natural Language Analytics module, which builds on entellitrak’s Data-First™ approach to case management, puts self-service business intelligence in the hands of front-line workers and management so they can make informed, real-time decisions. (Download a Data Sheet for more details.)
Most of those real-time decisions will likely start with a simple question.
- Answering Your Questions about Partner Sales Enablement February 5, 2020
- Introducing Chris Flores, Vice President of Global Alliances January 15, 2020
- 6 Tips for Stress-Free Software Adoption December 11, 2019