The Insider's Guide to Next-Generation BPM
By Tony Baer, Senior Analyst, Ovum and Madan Sheina, Principal Analyst, Ovum , 09/09/2009
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Informatica has further expanded its data integration engine with the acquisition of specialized complex event processing (CEP) analysis provider Agent Logic. This will bolster Informatica's businesses, especially in public sector, financial services and healthcare, by adding depth to its name and identity matching capabilities. Although Agent Logic's approach to CEP has been very narrow, Informatica's move reveals how the worlds of CEP and business intelligence (BI) are converging.
CEP and BI are converging
Although business intelligence (BI) has been adding near-realtime capabilities that provide current analytic snapshots, its heritage has been historical analysis. Conversely, CEP has been all about the present. CEP enables businesses to close the loop on operational strategies with time-sensitive parsing and analysis of torrents of streaming data coming from RFID sensors, website click streams, transactional flows, geospatial data and other sources.
Yet the very fact that CEP encompasses analytics makes it a natural extension of realtime BI. When integrated with related transactional and historical data, CEP can provide the missing 'event' element to make it useful for closed-loop, realtime business decision-making. Informatica's move into the space underscores how CEP and BI are converging.
Time to insight is the driving logic behind Informatica's swoop
Acquiring Agent Logic helps Informatica bake high throughput, realtime analytics of unstructured data into its data integration platform through rules-based parsing of unstructured data. Backed in part by In-Q-Tel, the CIA's not-for-profit venture capital arm, Agent Logic's primary market has not surprisingly been the federal government.
For Informatica, the acquisition is quite synergistic with previous acquisitions that include:
Agent Logic will enable Informatica's unstructured data cleansing and integration tools to perform their tasks under far more complex, higher-throughput, realtime scenarios. Beyond public sector, the acquisition is also potentially useful for serving financial services firms in performing fraud detection, or for healthcare markets in analyzing patient-care outcomes.
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