IBM InfoSphere MDM - EMPI - Initiate - MDM - Master Data Management

SERVICES

Threshold Analysis
And Algorithm
Optimization

HAS YOUR MDM IMPLEMENTATION RECENTLY EXPERIENCED ANY OF THESE CHANGES?

  • New data sources or significant increases in overall volume
  • Adjustments in the minimum data set since go-live
  • Increased task volumes and data steward workload
  • Expansion into new geographies
  • Platform upgrades

5%

variation in data
composition can
render initial weight tables obsolete and influence match accuracy.

Did you know that match/link thresholds can become ineffective due to data changes that no longer meet auto-link thresholds originally established?

IMT’s Threshold Analysis and MDM Algorithm Optimization utilizes advanced and proprietary statistical analysis techniques to optimize MDM match performance and accuracy.

Our expert team works with your data experts an efficient and collaborative process to ensure improved match accuracy and reduced stewardship effort.

Analyze the impact of new data sources on thresholds and weights before load to prevent unnecessary tasks

paper with arrow pointing to other papers

New Sources

geographic expansion

Geographic
Expansion

data composition changes

Data Composition
Changes

white arrow

Read about how Threshold Analysis helped Advent Health reduce tasks by 60% resulting in lower stewardship costs and increased confidence to share patient data with other initiatives.

doctor looking on tablet, several icons floating out of the tablet across the air

DOWNLOAD THE FACT SHEET
FOR MORE INFORMATION