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IBM

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Celect

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Mirakl

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Bringg

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Data Warehousing

For Business Intelligence

Data Warehousing

For Business Intelligence

Data Warehousing

Today, your company is producing more data than ever before, and this valuable information is stored in many different systems and formats. In order to capitalize on this knowledge, and use it to provide you with a competitive advantage in the marketplace, it is essential that you have a reliable data management system, one that enables you to meet both internal audit and reporting demands, and comply with external regulations such as Sarbanes-Oxley.

Companies with a solid business intelligence program will benefit from increased supply chain forecasting accuracy and the ability to identify and capitalize on (or mitigate) supply and demand trends, and at the heart of any worthwhile business intelligence initiative is a high quality data warehouse.

Data warehousing is a simple and cost-effective way to efficiently store and analyze all your data (from a few hundred gigabytes to a petabyte) using your existing business intelligence tools.

The benefits of a data warehouse include:
  • Ability to use any business intelligence tool (IBM Cognos, Business Objects, SAS, Tableau, Crystal Reports, etc) to run reports on information stored in your data warehouse.
  • Preserving the performance of your production environment by storing less data in production (e.g., 3 months instead of 7 years) and running reports against the data warehouse instead of production data.
  • Easy storage of many years’ worth of data for meeting internal reporting requirements or for Sarbanes Oxley compliance.
Our approach to a data warehousing initiative includes:
  • Working with you to assess your business needs
  • Determining the amount of data retention and the size of the warehouse required to fulfill your business needs
  • Using state of the art data cleansing, master data management, and ETL (Extract, Transform, Load)  methodologies to ensure your data warehouse contains accurate, actionable information.

We look forward to helping you achieve a successful data warehouse implementation.

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