What Is Progressive Data Management?
The word “progressive” has two meanings. It can mean "forward-looking" or "favoring new ideas", and it can mean "incremental". Progressive Data Management is a way of thinking about data that incorporates both of these meanings to generate more value from the data organizations manage.
In a new white paper, in fact, we describe the value generation cycle to help organizations understand how to start with the end in mind – letting operational priorities drive immediate needs – while simultaneously proceeding with data integration, data governance, and business intelligence (BI) as part of a continuous flow: The business priorities drive the BI Plan, which in turn drives plans for data integration and master data management (MDM).
Let’s explore some reasons why an organization would take on a Progressive Data Management approach:
- To shorten the implementation process, because some of the processes that used to be done serially can be done concurrently
- It improves the company’s focus on the end goals, which avoids scope creep and extraneous complexity
- Organizations can implement initiatives when formerly they didn’t think they had the time or staff to be successful. Because all of the efforts are being driven toward a shared vision, the data integration, data quality, and data remediation requirements can all be addressed as part of a progressive data management project
- Organizations can create effective BI assets very quickly. The data that gets generated was designed for, and thus is immediately useful in metrics, dashboards, reports, scorecards, key performance indicators, and predictive analytics
A Real-World Example
To put this into practice, let’s see what a typical organization does when successfully implementing Progressive Data Management: in this case, a health insurance company. This insurer was not able to obtain a single view of its customers, which was preventing them from driving growth. When the company came to Information Builders for help, we automated the onboarding of operational data streams, set up data quality procedures, streamlined processes, and deployed an enterprise customer record – along with five other mastered data domains that helped them manage the rest of their business.
Afterwards, this insurer was able to efficiently manage, maintain, and build on its base of policyholders and health care system partners alike. Quality of care, customer satisfaction, reimbursements from the Centers for Medicaid and Medicare Services, and other key metrics improved dramatically.
Using our innovative product, Omni-Gen, organizations can take advantage of a rapid and incremental approach to implementing Progressive Data Management. This includes creating mastering applications, encouraging a top-down method for modeling data, and creating golden records. You can read more about Progressive Data Management and Omni-Gen in a new whitepaper “Five Steps to Harnessing Data for Business Value”, and for even more, view our Progressive Data Management SlideShare.
We would love to hear what you think!