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Data Warehousing

These days, competitive advantage depends on high-value business processes, such as CRM, supply chain management, and business intelligence—applications that effectively require integration of data from across the organization to develop a complete view of activity throughout the enterprise, customer channels, and the supply chain. A key to success will be the enterprise's ability to manage the staggering volumes and complexity of data efficiently and cost-effectively.

A data warehousing solution from Infonet Technologies brings together data from multiple sources to deliver greater insight into the enterprise. Infonet Technologies offers a decade of experience developing high-performance data warehouse solutions for some of the world's largest organizations, sophisticated, low-latency solutions that transmit highly complex data and massive volumes of data to large audiences of end-users. Our expertise with state-of-the-art tools ensures a durable, robust data warehousing solution with a low cost of ownership.


Data acquisition processes—extract, transform, load (ETL)

Infonet Technologies places a strong emphasis on data acquisition processes. This includes sourcing, cleansing, transforming, and aggregating data using parallel technology tools to build industrial-strength ETL processes that accommodate high data volumes from disparate sources. We identify the best sources for data elements, reconstructing data when required and deploying the most appropriate tools to retrieve the data from its primary sources. Through the cleansing process, we enhance data quality by ensuring data accuracy, type, and consistency, as well as eliminating duplicate records.

Data repositories

Infonet Technologies is experienced at building a variety of data repositories, including operational data stores, data marts, data warehouses, web warehouses, and data hubs. We start by implementing and properly documenting a physical data model, ensuring data from all functional areas is sufficiently integrated to support cross-functional analyses. We perform database tuning, model denormalization, and aggregation as necessary to support information delivery requirements. When scalability requirements call for it, we partition and distribute data into a parallel architecture.

Information delivery applications

Infonet Technologies also specializes in implementing information delivery applications that allow 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.
We ensure near- and long-term reporting and access requirements are met as well. These may include fixed-frequency static reports; ad-hoc reports; dynamic, multidimensional queries; Internet/intranet application interfaces; and data mining

Data warehouse administration

As the data warehouse grows, administration (or management) of the repository is a crucial step in optimizing results and return on investment. We provide data warehousing administration services such as performance analysis, user analysis, benchmarking, auditing, and tuning to help clients measure the ongoing success of their data strategies.

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