Statistical Functions in Event Stream Processing Software Give Businesses Powerful New Event-based Marketing Options
WINDSOR, U.K. -- SeeWhy Software today announced the immediate availability of SeeWhy Community Edition 3.2. The product, which can be freely downloaded from www.seewhy.com,
SeeWhy is at the vanguard of business intelligence 2.0, the new era of BI technology designed for use with streams of data in service-oriented (SOA) and Web 2.0 environments. SeeWhy is designed for organizations that require immediate action on opportunities, risks and costs affecting the business, such as capitalizing on cross sell opportunities, potential customer attrition or fraudulent behavior. Companies in industries such as online financial services and e-commerce use SeeWhy because they can't afford the time lag associated with traditional, data warehouse-centric BI applications. Such tools use data that is hours or even days old and are designed for analysis of past performance.
SeeWhy's full event stream processing solution, SeeWhy Enterprise Edition, provides all the capabilities of Community Edition and scales across multi-processor, multi-server environments to enable analysis of high event stream volumes.
"Speed of response to specific customer and market demands has always driven competitive edge for organizations, and in the current hyper-competitive business climate this becomes very important," said Alys Woodward, program manager, business intelligence and analytics, IDC European Software and Services. "As more organizations work towards implementing SOA, they are able to take greater advantage of real-time information. The latest release of SeeWhy gives businesses the analytical capabilities to spot meaningful changes in behavior by leveraging such real-time information, and therefore improve the quality and rate of these responses."
Build Event Detection Into Business Applications
SeeWhy is designed to be incorporated directly into business process workflows to provide in-memory analysis in real time. By streaming data off of middleware, message queues, and web and network traffic, SeeWhy compares current events to a continuously updated profile of expected behavior at an individual level in order to understand the latest performance of various entities now and over time.