Data Governance is more than centralized data access, metadata management, and governance. It is taking these high-level concepts and embedding it in everyday processes. Embedding these concepts into our day-to-day checklists enables us to achieve the goal of developing a coordinated, efficient information infrastructure with accountability.
As Prominence works with their customers on analytics projects, we take the principals of quality, access, literacy, content, master data, security and metric management – and infuse them into the application creation process.
We engaged with a health plan as they developed their analytics framework to move towards data-driven decision making. They were being bombarded with one-off requests for data about utilization, case management, and readmissions data and were spending a lot of time answering the question they were being asked. They recently purchased Tableau and wanted to quickly jump-start their analytics team into application development based on best practices.
Prominence was engaged to guide an organization as they built up their team. They were interested in following best practices and having an experienced team there to guide them along their path.
You can see that in:
Visualization and Design
As a result of the engagement, the health plan’s analytic team is now running with the application development process and tools on their next application independent of the Prominence team.
At the application launch meeting the project sponsor, the Director of Medical Economics, said ‘I love the dashboard, the look and feel, the access to information, the ability to interact with it. I love what you have done and am excited to see what else you do! We don’t have anything else like this to help put together such a strategic plan before diving into details and making it relevant.’