Predictive Analysis Drives Competitive Advantage
Monday, June 06, 2005
Enterprise Information Integration Enables BI, Gives Decision-Makers Model for Action
By Mari-Len De Guzman
Businesses don’t need a crystal ball or a deck of cards to know what the future holds. Software applications that can intelligently predict business trends and aid business decisions are the way to go, according to an IDC Canada analyst.
Predictive analytics will be the future of business intelligence (BI) as larger markets start to consolidate, according to Joel Martin, vice-president of software and business alignment, IDC Canada Ltd.
Cutter Consortium's Curt Hall discusses the relationship between EII and data warehousing. Combining data warehousing and EII can extend data warehousing architectures to enable BI applications to access new and existing data sources. Read the article
Martin was among the speakers at a BI symposium organized by SAS Institute Canada and Intel Corp., held this week in Toronto. Predictive analytics is a data mining capability that takes data and views it against a backdrop of other variables – financial, social, and industry-specific – to generate intelligent business predictions.
Predictive analytics, said Martin, will facilitate intelligence process automation.
Compared with traditional or core analytics, which generally involves data analysis and report generation, predictive analytics provides "insight and relevance" to enterprise decision-makers, he said.
Predictive analytics would play a huge part as companies struggle to keep up with shortening timeframes in business transactions, the analyst said. For instance, according to an IDC study, the turnaround time for call centre inquiries jumped from an average of eight hours to a mere ten seconds. Supply chain updates, which used to take a whole day to process, are now accomplished in 15 minutes.
"Such shorter timeframes make long-range planning a thing of the past. We're living in faster-than-Internet time today," Martin said.
He said most enterprises have silos of information from disparate functional groups that develop their own reports. These reports generate multiple pages of print out that business managers would "not have time to digest."
Predictive analytics is basically "taking the information gained and putting it into a form, a scenario, or a model that business managers can quickly digest and act upon," he said.
The IDC analyst also stressed the importance of having an interoperable business intelligence platform, one that works across multi-vendor and multi-product composite applications.
ISTCL is a leader in providing business intelligence systems to corporations, non-profit organizations and public sector clients. An ISTCL Performance Management Systems covers intelligent process automation, from data extraction and transformation to storage to reporting to predictive analytics. On every implementation, ISTCL customizes your system to requirements, focusing on integration and interoperability.
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