Data Consistency

Rule free consistency of fields & records across schemas & applications for all times

Ensure consistent enterprise data despite differences in schemas and applications in near real time.

Consistency without limits

Ensure consistent data from any number of internal and external sources without limitation of volume & language

With Sainapse DQM you can detect, correct & prevent inconsistent fields and records across diverse sources & different schemas without needing to define rules

Detect & correct inconsistent data

Autonomous detection of inconsistent data and prediction of consistent values

Recommend consistent values in a dataset, by using ML techniques based on the available data

Always complete and correct data

Event based or periodic triggers to crawl through connected sources to ensure comprehensive, correct master data

Autonomous run time data consistency configurable as event triggered or at defined time intervals periodic to ensure you derive maximum value from your master data

Key capabilites

Deliver impact in days, not months

Data is rapidly cleansed in mere days since no data massaging or business rule coding projects are needed

Ensure always-clean data
‍

Rule free deduplication delivers always clean data no matter how the data evolves

Make costs low and predictable
‍

No requirement of functional or technical consultants means you can derive value with minimal business SME inputs

Make reporting accurate and reliable

Consistent reporting across sources with diverse schema without needing data aggregation