Business Analytics Maturity Assessment and Governance Model

Topline insights designed to cover a range of assessment capabilities, optimize resources and map out customizable initiatives.

Corporations have become increasingly accustomed to mounting volumes of data captured through enterprise applications. The response has typically been to invest heavily in a Business Intelligence infrastructure, then invest some more. Now, as maturity models like CMM and ISO gain traction, organizations are increasingly considering a BI Maturity model for their enterprise BI needs.

Similarly, for governance of any kind to be truly effective, it’s critical to precisely define the objective, as well as the specific areas that need to be measured and governed. In the field of Business Analytics, it’s also important to recognize that virtually every decision can cross departmental and functional lines, which makes the task even more challenging

Customized Analysis

Saama's BI Maturity Assessment builds on a Ladder of Business Intelligence (LoBI), a framework developed in part by Jim Cates, who spent 20 years in management positions within IBM’s R&D discipline and is currently on Saama’s Board of Advisors. The BI Maturity Assessment uses specific tools to analyze the business information resources and needs of your organization, measure the gap between those needs (and the broader current state of your information systems), and create a roadmap leading to the right data models.

For governance, Saama works from a systematic framework that begins with defining the structure through a steering committee. This process includes the methodology for selecting committee members, the steps involved in moving forward, and the criteria for making effective decisions in a group setting. This approach is invaluable in defining the areas that need to be monitored, and the best way for providing the oversight required.

Saama’s Business Analytics Governance Model also offers a well-defined process for initiating new projects, setting priorities by measuring impact analysis, pipeline and project management, a detailed and ongoing BI Management process (operational support, training, usage monitoring, etc.) and finally a sunset process.

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