Consilium's exclusive focus on data warehousing and business intelligence consulting allows us to provide not only the strategic focus, but also the implementation resources to achieve your strategic goals.

By utilizing proven best practices, structured methodologies, and reusable frameworks Consilium helps clients to achieve project success with minimum risk and maximum return on technology investments. While it is common in the industry for data warehousing projects to fail or run over budget generally due to a misunderstanding of the data, historically Consiliums data migrations have had a 100% success rate. Our success can be summed up by experience. Delivering 50 to 100 DW/BI projects annually, Consilium leverages its years of experience to avoid unnecessary mistakes, maximize project productivity, lower costs and reduce risk.

Our experience shows through our project management staff that possesses extensive experience in managing large-scale, high-visibility projects. They understand the complexities involved in multi-phase projects, both from a business perspective and from a technology perspective. This means that projects are delivered not only on time and within budget but also with the understanding that value must be derived early in the project lifecycle so that our clients realize immediate returns.

Methodology is vital to the success of strategic data related initiatives such as data warehousing, business intelligence, data migrations, BPM, and information architecture projects. At Consilium our methodologies are based on a comprehensive collection of best practices and repeatable processes that have been tested and re-tested and proven effective. From project planning and budgeting to implementation and project enhancements, our documented procedures provide the roadmap for successful project execution. While recognizing that each organization is unique, out methodology is flexible to accommodate our client's internal processes. Specific methodologies include:

• Data Warehousing & Business Intelligence Implementation Methodology
• Data Migration/Conversions Methodology
• Strategy Methodology
• Data Quality Assurance Methodology