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Data Integration

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Evolving business models are demanding rapid consumption of data at a rate that often exceed the implementation life cycle of traditional Data Warehouse and Business Intelligence. The data integration processes that ensure data availability in a strategic data warehouse to operational BI require a hybrid data integration approach where traditional analytical data integration can be augmented by near real-time integration method. 

 

As organizations increasingly look to grow their competitive advantage by uncovering opportunities to capture and respond to business events in a near real-time manner, there is often a gap between data availability and the organizations’ pace of business. Evolving business models are demanding rapid consumption of data at a rate that often exceed the implementation life cycle of traditional Data Warehouse and Business Intelligence in strategic analytical capacity.

 

Today, more and more organizations attempt to maximize the value and competitive advantage of their traditional data warehouse and BI and adopt an operational mode to Business Intelligence allowing line of business managers, front-line employees to accommodate even-driven, near real-time, low-latency business transactions.

 

The organizations’ uses of data are constantly changing and evolving. CueCentric can assist organization to review and reposition their data integration to accommodate the ever-changing business model.

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