Master Data Management
Build a solid foundation of high quality, trustworthy data from a single source of truth.
improve data accuracy, quality, and standardization
Defining Opportunities for MDM Success
Defining success criteria for an MDM process helps us define how to achieve it, including the capabilities and scope needed for tool evaluation and implementation. Depending on the domain, success can look like:
Billing
Reduction in errors and claim denials
Location
Reduction in billing errors, failed deliveries
Products
Reduction in inventory discrepancies
Provider
Unified data systems, improved credentialing timeline, reduced delays
Customers
Reduction in duplicate patient records
Clinical
Data-driven clinical decisions, improvement in treatment accuracy
The Journey
Discovery & Assessment
Strategy & Planning
Implementation
Deployment & Adoption
Continuous Improvement
Operationalization
Discovery & Assessment
Define your goals, business case and stakeholders. Assess the current state and understand your priorities.
Strategy & Planning
Create your MDM strategy. Align your MDM planning with organizational data governance activities. Assess, select, and setup an MDM tool.
Implementation
Work with your stakeholders and MDM tools to profile and cleanse the data, integrate and model the data, perform matching and survivorship, then layer workflow automation.
Deployment & Adoption
Work with end users to train them in the new tool and integrate processes in their workflows. Embed processes within the data governance structure.
Continuous Improvement
Continue to identify areas where the process can be improved and set goals incremental improvement.
Operationalization
Embed master data management activities into daily job activities.
Discovery & Assessment
Define your goals, business case and stakeholders. Assess the current state and understand your priorities.
strategy & Planning
Create your MDM strategy. Align your MDM planning with organizational data governance activities. Assess, select, and setup an MDM tool.
implementation
Work with your stakeholders and MDM tools to profile and cleanse the data, integrate and model the data, perform matching and survivorship, then layer workflow automation.
deployment& Adoption
Work with end users to train them in the new tool and integrate processes in their workflows. Embed processes within the data governance structure.
continuous improvement
Continue to identify areas where the process can be improved and set goals incremental improvement.
operationalization
Embed master data management activities into daily job activities.
streamlining data excellence at a large midwest hospital
We partnered with a large midwest health system to address challenges related to data inaccuracies and inefficiencies. Their databases presented performance bottlenecks, limited scalability, and integration challenges with modern systems.
Records Migrated
0
M+
Tables Evaluated
0
Increase in Data Load Speed
0
%+
High Data Accuracy
0
%
1M+
Records Migrated
1,329
Tables Evaluated
75%+
Increase in Data Load Speed
99.2%
High Data Accuracy
Case studies
Webinars
Get Started
Reach out to learn more about how a strong MDM foundation can enhance your governance efforts.
