Real-Time Data, BI, and Analytics: Accelerating Business to Leverage Customer Relations, Competitiveness, and Insights
TDWI Speaker: Philip Russom, Fern Halper, and David Stodder, TDWI Research Directors
Date: Tuesday, October 14, 2014
Time: 9:00 a.m. PT, 12:00 p.m. ET
The pace of business continues to accelerate, such that organizations must now react faster and more frequently to customer interactions, service-level agreements, operational commitments, competitive pressures, and other time-sensitive issues. With technologies maturing, organizations must evaluate the options they need for the real-time delivery, access, and analysis of information, if they are to reduce business latency or eliminate it.
This Webinar will enhance users’ understanding of real-time practices and technologies, plus how these enable fast-paced business processes, new data-intensive business products or services, and better customer management, competitiveness, and operational excellence.
The content of the Webinar is based on the research findings of a new Best Practices Report, Real-Time Data, BI, and Analytics: Accelerating Business to Leverage Customer Relations, Competitiveness, and Insights. The report was researched and written by three TDWI analysts: David Stodder (real-time BI), Fern Halper (real-time analytics), and Philip Russom (real-time data). All three will present their findings and field questions from the audience.
You will learn:
- Trends and drivers for real-time data, BI, and analytics today
- Why real-time operation is critical for a competitive or modern organization
- The many tool types and features that enable real time
- Real-world use cases of real time that organizations are using successfully today
- The real-time options poised for the greatest adoption in coming years
Philip Russom, Ph.D., Fern Halper, Ph.D., David Stodder
Content Provided by TDWI and IBM, Actian, Cloudera, Datawatch, HP, Tableau Software, Treasure Data, Striim
TDWI, IBM, Actian, Cloudera, Datawatch, HP, Striim, Tableau Software, Treasure Data