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Expertise » Data Warehousing

Data Warehousing

Organize data and information in a scalable repository making it accessible to decision-makers and available for advanced analytics.

Building a data warehouse or a data mart is an important step in developing your analytical strategy. In this process data is extracted from internal and external sources, transformed (cleansed, integrated, organized, and described), and loaded into the data warehouse or data mart. Not only does this repository enable advanced analytical reporting (e.g. pivoting, drill-down, slice-and-dice), but it also creates an environment for ad hoc reporting and data mining. However, the success of every data-warehousing project heavily depends on the design of the data and metadata models.

We can help you design a data warehouse or data mart to support the analytical function of your organization. We will work with you to define Key Performance Indicators (KPIs) to help you monitor the status of your organization.

Other Areas of Expertise:

Advanced Data-Driven Analytics

Data Mining

Text Mining

Web-Usage Log (Clickstream) Mining

Numerical Simulations