Business Intelligence and Data Warehousing


Business intelligence is the set of techniques and tools for the transformation of raw data into meaningful and useful information. Our Business Intelligence team is focused primarily on helping organizations leverage the Microsoft BI platform, including Power BI, SQL Server and SharePoint.

Business Intelligence systems mean better business decisions

Business intelligence can be used to support a wide range of business decisions ranging from operational to strategic. For example, a data mart is a simple form of a data warehouse that is focused on a single subject (or functional area), such as sales, finance or marketing. Data marts are often built and controlled by a single department within an organization.  On the other hand, metadata provides information about one or more aspects of the data which helps organize electronic resources, provides digital identification, and helps with archiving and preservation of data.

If your organization is just getting started with Business Intelligence, you may want to consider our QuickStart program. You’ll learn the benefits of a robust BI capability using your own data.

The BI QuickStart includes:DesignMind Business Intelligence consultants

  • An overview of the Microsoft BI platform
  • Reports and dashboards for a specific scenario incorporating your own data
  • Best Practices and observations about your firm’s BI environment
  • Recommendations for solving your Business Intelligence Needs
  • Next steps for moving forward

Data Warehouse Architecture and Implementation

Data warehouses are central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.

Our BI consultants design and implement Data Warehouse, Performance / Executive Dashboards, and other reporting systems. We tailor our development process based on the specifics of each project. Our typical Data Mart project would follow these main steps:

  1. Readiness Assessment
  2. Requirements Phase
  3. Initial Design
  4. Implementation
  5. Documentation and Knowledge Transfer

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