Enterprise Data Quality Management Implementation: Google Cloud & Open Source

This project addresses Some of the most damaging data quality issues faced in terms of financial, regulatory, and reputational impact:

Challenge Address
$4M orders missing from trading report
Pricing – incorrect product prices on website
Client communication – outdated subscriber list
Customer analytics delayed due to lack of cross-channel reconciliation
Lost productivity for analysts
Enterprise Data Quality Scorecard provided MIS interfaces for insight and oversight
Causal Analysis Reports helped identify weak areas and causes of data quality issues
Financial and reputational impact due to low data quality was mitigated
Business stakeholders could be assured that data will be complete, accurate, timely, and suitable for business decision making, communications, and reporting; they were able to have a forum to report and receive service for data quality issues

Our Latest Success Stories

Platform for Contract Review

Calsoft recognized the need for an innovative solution and stepped in to empower contract managers. We have developed a cutting-edge platform powered by GPT technology,...