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“Go, Set, Ready, Repeat”: Lessons Learned for Successful Data Integration
July 2010
(Based on 30 reviews)
The number of enterprise projects demanding shared data is on the rise; yet why does their success continue to be forestalled by data integration complexity? In contrast to years of conventional wisdom and technology development driving distribution of business applications across divisional workgroup computing resources, there is a resurgence in centralizing organizational data to support enterprise applications and techniques such as enterprise resource planning (ERP), data warehousing for business intelligence, customer relationship management (CRM), and customer data integration (CDI) and master data management (MDM). But while these enterprise imperatives need to integrate data from decentralized/distributed data systems, their development is often stymied, in terms of decreased efficiency, increased costs, and critically, extenuated time to value from the start by the hurdles and complexity of data consolidation.
David Loshin explains how employing tools and techniques such as data profiling, metadata management, and data modeling, the information analysts and developers can set their aims on the target prior to pulling the trigger to change the “go, set ready” paradigm to a “ready, set, go” initiative.
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