BI Governance – So You Can Manage Your BI Landscape

The implementation of business intelligence can bring your company great benefits. Tap these benefits right at the start of your BI implementation by keeping maintenance costs down and maximizing efficiency.

We at mayato have seen that companies without a supervised BI implementation usually go through three critical phases. These phases represent the different levels of maturity of BI solutions. You can gauge the level of maturity of your BI solution through the combination of these system characteristics: agility, stability, and efficiency.

In the implementation phase, the system is highly agile, because the requirements of the internal sponsors are realized fast and flexibly in pilot projects. You will notice that the load on the IT system becomes greater with increasing size and complexity. Agility declines, and more emphasis is placed on stabilizing systems and processes. Efficiency – particularly cost efficiency – still plays a minor role. After you have adjusted and optimized the system, agility, stability, and efficiency become obviously balanced, which guarantees long-term success.

With our BI experts as your partners, you can shorten the critical phases of your BI implementation and accelerate the optimization of your BI solution. Thanks to tailored BI governance, we can increase your solution’s efficiency and sustainability. You avoid the danger of losing out on your investment and profit from a genuine return on investment as early as the implementation phase.

In BI governance, we work with you to define the framework (rules, recommendations, roles, and responsibilities) for the deployment of BI. When implemented at the right time and optimally scaled, BI governance ensures that the balance is reached early on and stability crises are overcome As a result, you can reap the benefits of a cost-saving and profitable BI deployment.

Specifically, we support you in:

• Selecting a standard portfolio of BI solutions based on your BI strategy
• Defining roles, responsibilities, and organizational units, as well as integrating them with your company
• Designing guidelines, rules, and recommendations for your BI procedure and BI process models, your BI system and data architectures, and your BI infrastructure
• Implementing data quality management in terms of both organization and technology