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IBM Launches Next Generation of Business Intelligence with Dynamic Warehousing
March 20, 2007
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IBM has unveiled a strategy to enable dynamic warehousing, a new generation of business intelligence capabilities that enable organizations to gain real-time insight and value from their business information.

IBM is delivering capabilities that extend beyond traditional business intelligence and data warehousing techniques to allow global businesses and organizations of all sizes to streamline business processes, transform customer service, increase employee productivity, reduce business risks and generate new revenue opportunities.

IBM's new Dynamic Warehousing strategy enables customers to use advanced analytics as part of a real-time business process and to unlock knowledge buried in both structured and unstructured information (free form text, e-mail, audio files, Web pages, etc.). This approach will also provide instant access to reliable and trusted business information in the context of activities being performed, whether it is supporting a customer, processing a claim or handling a transaction.

IBM is providing a set of integrated offerings for Dynamic Warehousing that use a combination of technologies from internal R&D and strategic Information on Demand acquisitions, including search and text analytics, information integration, process management, enterprise data modeling, master data management and industry specific business models.

"Customers of all sizes in all industries are looking for new ways to maximize their information in order to gain a competitive advantage," said Karen Parrish, vice president of Business Intelligence Solutions for IBM, who unveiled the initiative in mid-March. "Dynamic Warehousing provides a new approach to companies who want the ability to rapidly analyze and act upon the hidden benefits of their business information."

Traditional data warehousing efforts were focused on query and reporting to understand what happened. The second wave focused on technologies such as online analytical processing (OLAP) and data mining for historical analysis to understand why and recommend future action: strategic and tactical planning. IBM's new approach is about making available and analyzing information on demand to help customers optimize each transaction, such as in the call center, in the field, when helping customers, or when taking orders.

For example Dynamic Warehousing is helping law enforcement agencies identify related incidents upon receiving an emergency call and deliver a list of potential suspects in real-time to detectives before they arrive at the crime scene. Likewise, insurance companies can identify potentially fraudulent claims prior to approval and payment. While retailers can rapidly leverage buying patterns and changes in consumer behavior to identify the most effective cross sell and up sell opportunities at the point of sale.

IBM customers such as Omnium are already discovering the benefits of Dynamic Warehousing. Omnium is an accounts receivable management and cost containment company that contracts with Medical Insurance firms to analyze monthly receipts of data for potential client overpayments.

IBM DB2 Warehouse increases our efficiency to mine data and develop predictive models which can produce exceptionally quick results for tracking mis-paid and overpaid insurance claims, said Duffy Boyle, CIO of Omnium Worldwide. "Our clients require rapid evaluation and response so the new IBM solution is ideal for our needs."

The foundation of IBM's dynamic warehousing initiative is a new, enhanced version of the DB2 Warehouse: based on the DB2 9 "Viper" data server, which includes a unique set of features and capabilities that support growing customer demand for analytics and Information on Demand.

DB2 Warehouse provides data movement and transformation capabilities to reduce the complexity and lower the costs typically associated with loading data into the warehouse and preparing that data so that it can be leveraged more effectively. It also offers performance optimization capabilities that enable the warehouse to address broad enterprise warehousing requirements, such as advanced data partitioning and workload management to ensure that the most critical applications are serviced accordingly. Additionally, DB2 Warehouse takes advantage of Viper's deep compression technology to increase performance and efficiency, while reducing storage costs.

Source

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