SOLUTIONS | Data Warehousing & Business Intelligence

Data Acquisition Processes - Extract, Transform, Load

This includes sourcing, cleansing, transforming and aggregating data using parallel technology tools. This results in industrial-strength ETL processes that accommodate high data volumes from disparate sources. The best sources are identified, reconstructed and deployed - ensuring accuracy, type and consistency and eliminating duplicate records enhance the quality of data.

Data Repositories

TAKE is experienced in building a variety of data repositories, including operational data stores, data marts, data warehouses, web warehouses and data hubs. First, a physical data model is implemented and properly documented, ensuring that data from all functional areas is integrated to support cross-functional analyses. Other functions include database tuning, model denormalization and aggregation. TAKE also has the expertise to partition and distribute data into a parallel architecture.

Information Delivery Applications

TAKE's specialization in this area allows corporate users to access the data in the warehouse. These include decision support tools, data mining and analytic tools and applications that optimize supply chain, campaign management, billing and industry-specific processes.

TAKE ensures near and long-term reporting and access requirements. These include fixed-frequency static reports; ad-hoc reports; dynamic, multidimensional queries; Internet/intranet application interfaces; and data mining.

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TAKE Solutions’ Life Sciences Division Announces Multi-client Adoption of PharmaReady™ Version 4.1
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Upcoming Events

The 7th Annual Electronic Submissions Conference
November 5–7, 2008
San Diego, CA

eCTD: Hands on Submission Workshop
November 13–14, 2008
Research Triangle Park, NC

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