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Follow on Google News | Five Best Practices for Data Integration - by Author: Michael Zuckerman, CMO, QueplixThe explosion in information technology tools and capability has accelerated. Our information technology environment is moving at absolute light-speed.
By: Derek Kol To add insult to injury, data quality is … “another product.” I humbly submit that without resolving data quality issues and providing for their ongoing maintenance, you cannot integrate even two applications, load your data warehouse, consider a future Virtual MDM deployment. The cause of this is simple. Look at the revenue mix for the two major vendors that control the market for large enterprise. Their business is about professional services – not software tools. They are in business to sell you, their customer, as much professional services at the highest rates you can imagine. Legacy ETL technology is a bonanza to a company that sells your company services by the hour. Even worse, they don’t offer you the right mix of services and technology. The integration was done to specification but it doesn’t seem to work. I guess we’ll just have to sell you additional consulting to do the data quality clean-up. The five best practices in data integration break this model. Queplix turns the model upside down. By using advanced data virtualization, and pushing back at the legacy monopoly attached to your wallet, you can reduce your costs and speed your time to implementation. To learn more, visit http://www.dbta.com/ For parties interested in Queplix, data integration, data management, data virtualization, data integration software, master data management, business intelligence, ETL, informatica, IBM cast iron End
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