How BI could energize complex events processing?

How BI could energize complex events processing

Volatility in world financial markets is one of the trends that has helped raise awareness of the need to sense and respond to events. In spite of growing awareness, adoption of complex event processing (CEP) – the extreme end of event processing – remains at an early stage. CEP has produced dramatic successes in a few chosen vertical markets ranging from financial services to telecommunications and national security.

CEP will never be a single, unitary market – use cases across verticals share little in common except the need to sense and respond to events, and there are multiple technologies that can be used for implementing CEP. However, there is one common thread – organizations that have implemented a middle tier that performs some form of integration of data and/or processes have already taken step one, and are best poised for realizing the benefit of responding to complex events. Of those middle tier technologies, the least understood is the relationship between CEP and business intelligence (BI). Although many consider both to operate at cross purposes, in actuality CEP and BI are complementary. Given that BI has entered the enterprise application mainstream, it could provide a critical springboard for new adoption of CEP.

Table of Contents :

SUMMARY
Impact
Ovum view
Key messages
THE CEP MARKET IS STILL IMMATURE
CEP helps people and organizations connect the dots
For now a successful niche market
CEP has an identity crisis
Myths, hurdles and opportunities
Loosely defined product
Perceived complexity
High-cost image
MARKET DEVELOPMENT SCENARIO
CEP could follow BI’s lead
Operational BI could catapult CEP adoption
MANY PARALLELS BETWEEN CEP AND BI AND A FEW CONTRASTS
The analytic connection
Data view
Technology and market evolution paths diverge
Use cases are not that different
Some important operational differences
Data storage
Data quality
MARKET SAMPLING
IBM
Progress Apama
Tibco
Streambase
Informatica
SQLstream
BI vendors
RECOMMENDATIONS
Recommendations for enterprises
Recommendations for suppliers
APPENDIX
Further reading
Methodology

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