Orion’s Enterprise Information Intelligence Graph (EIIG) augments data quality and bring it to life in the following ways:

  • Determine data quality and aggregate all data quality information and assign quality scores to data assets
  • Overlay data quality findings on data lineage and point to where DQ controls and rules should be applied 
  • Continuously assess data elements for completeness, accuracy, consistency, timeliness, and relevance via metadata profiling.
  • Monitor and document changes in data quality
  • Identify root-causes of quality issues in near real-time
  • Propagate data quality information and, by extension, trust in data
  • Activate data stewardship with fact-based visibility and drive more efficient management of data quality.