The ConfigureTek team has compiled 5 important tips for organizations planning for a Configuration Management System (CMS) implementation.
- Identify your business case for the CMS
“Don’t boil the ocean.” Establishing a clear business case for the CMS at the outset enables implementation teams to understand exactly what needs to be discovered and how to provide value quickly. Once the business case is met, teams can expand discovery and address other requirements. This is critical for gaining timely return on your CMS investment.
- Open channels of communication between stakeholders
By definition, a CMS is geared to break down organizational silos and bring together configuration information from across the enterprise. This requires considerable cooperation across the IT organization – it’s important that key stakeholders understand why the CMS is being implemented, what’s in it for them, and how they can help expedite the process. It’s also important to give stakeholders an opportunity to raise, discuss and address concerns.
- Conduct workshops with technical teams
Implementing a CMS requires collaboration from database, network, infrastructure and application teams. Conducting focused sessions or meetings with groups from each of these areas in the early stages of the project will ensure technical teams understand what may be required of them in this initiative. Sharing information about how these groups will benefit from the CMS and exactly how they can help is a key to a timely and successful project.
- Select a single-source-of-truth amongst overlapping data repositories
It’s important that configuration teams decide how to reconcile CMS data coming from multiple data sources. Establishing one “single-source-of-truth” ensures that an authoritative data source will support the organization’s CMS use case, and that stakeholders understand where the information is coming from. This will promote confidence in the CMS implementation.
- Regularly review managed data sources to promote data integrity
Control data changes and identify managed data sets so you can give the organization as a whole a level of confidence in the accuracy of the data.