In Context, by Doug Henschen
Doug Henschen joined Intelligent Enterprise as Editor in 2004 and was named Editor-in-Chief in January 2007. He has specialized in covering the intersection of business intelligence, performance management, business process management and rules management technologies within enterprise applications and architectures. See More by Doug Henschen Make the BI/Business Process Connection
Posted by Doug Henschen "Process-driven BI" has been a big theme at this week's Gartner BI Summit, so I sat in on a presentation by Gartner analyst Gareth Herschel on "Integrating Business Insight With Business Processes." Great presentation, overall, but those familiar with business process modeling and management might have been disappointed to hear little about the connection with those technologies. The performance management and process management camps share the whole idea of a "continuous circle of improvement," but perhaps Gartner knows that the BI crowd just doesn't get involved in the nuts and bolts of process management. So how do you connect BI to business processes (whether managed by enterprise apps, composite apps or BPM suites)? Picking up on the prevalent theme here of avoiding analysis for the sake of analysis, Herschel urged attendees to tie analysis right into the process to change the way you make decisions. Herschel outlined a number of ways to apply BI in process planning and execution: Add steps to a process to open up new opportunities. For example, use historical or predictive data to enhance a customer-related processes with cross-sell, up-sell or retention actions. Herschel shared the example of ING Insurance, which increased claim process efficiency by as much as 40 percent by using historical and predictive insight to screen claims, fast-tracking the many claims falling within expected parameters while giving the few exception items greater scrutiny. In the bargain, customer service and satisfaction improved. Herschel summed up encouraging process teams to carefully consider how they might apply ten common BI and analytic techniques: simulation, optimization, events alerts, reporting, dashboards, visualization, ad-hoc query, statistics, descriptive data mining and predictive data mining. "There's no way you'll apply all ten, but you'll quickly realize how two, three or four could really improve a process," he said. E-MAIL | SLASHDOT | DIGG This is a public forum. CMP Technology and its affiliates are not responsible for and do not control what is posted herein. CMP Technology makes no warranties or guarantees concerning any advice dispensed by its staff members or readers. Community standards in this comment area do not permit hate language, excessive profanity, or other patently offensive language. Please be aware that all information posted to this comment area becomes the property of CMP Media LLC and may be edited and republished in print or electronic format as outlined in CMP Technology's Terms of Service. Important Note: This comment area is NOT intended for commercial messages or solicitations of business.
|
Blog Channels
Cindi Howson on Business Intelligence The Brain Food Blogger Tony Byrne on Content Management SQL Puzzlers by Joe Celko Rajan Chandras on IT & Information Management Seth Grimes on Analytics In Context by Doug Henschen Phil Kemelor on Web Analytics Sandy Kemsley's Column Two Nelson King on Enterprise App Development David Linthicum on Software as a Service Natural Insight, By Mark Madsen Alan Pelz-Sharpe on Content Management Mark Smith on Performance Management Neil Raden on Business Intelligence Bruce Silver on Business Process Management Product Maven Subscribe to RSS Archives
|
|