Case Studies

How DataBuck Automated Cloud Data Quality at Fortune-1,000 Companies

These are the learnings from many Cloud Data Quality (DQ) implementations at Fortune-1000 customers. They automated 80% of DQ validation process using AI/ML to detect data errors upstream and stopped it from spreading to their business partners.

First Eigen

Increase Data Quality Productivity by 2x and Reduce Cost by 50%

Top-3 US Bank with Over $1.5 Trillion in assets, reduces operational and regulatory reporting risk by leveraging DataBuck to monitor 15,000+ data assets.

Money from a bank using data monitoring software

Reduce Financial Reporting Risk and Cost of Validating Financial Data Warehouses with AI/ML Powered Data Quality

Top 3 global Networking Equipment provider reduces financial reporting risk by leveraging DataBuck to monitor 800+ data assets in its financial data warehouse and reconciling financial information.

First Eigen

Bank Increases Trust, Reduces Risk and Solves the Laborious DQ Problems Automatically with AI/ML

Top-3 Bank in Africa reduces financial crime risk by leveraging DataBuck to monitor client data spanning over 300 data assets in its Data Lake.

First Eigen

Autonomous Healthcare Data Quality Validation Accelerates Data Onboarding and Prevents Costly Data Cleanups

Top 3 Telemedicine and Healthcare company reduces data risk and transforms its data pipeline by leveraging DataBuck to monitor eligibility files received from 250+ Hospitals comprising of millions of records in real-time

First Eigen

KYC Through Better KYD (Data)

A multinational bank reduced its regulatory compliance risk by configuring DataBuck to improve the completeness and accuracy of KYC data.


  • Mismatched views of the multi-country banking data flowing into the data lake daily.
  • The KYC initiative was stalling as invalid or nonstandard contact information made the customers unreachable.
First Eigen

Increase Data Trust and Accelerate Cloud Adoption with Automated Data Quality Validation

A life insurance and Annuities Company was able to save computation time by more than 67% while ensuring referential integrity, completeness of the data movement, and the logic of financial numbers with the help of DataBuck

First Eigen

Most Common Top-10 Data Quality Needs Solved for Pharmaceutical Companies

A pharma company was receiving over 70 different sources of data from several healthcare providers. DataBuck’s out-of-the-box, pharma-specific capabilities solved their top-10 needs for pharmaceutical data validation.

Common Top-10 Data Quality Needs Solved for Pharmaceutical Companies