Case Studies
Telecom Databricks Migration With AI Data Matching
AI-Driven Telecom Migration: 99.7% Accuracy in 6 Months
Discover how a telecom giant migrated petabytes to Databricks, achieving 99.7% data matching accuracy and $4.2M in annual savings. Using AI-powered reconciliation, they cut migration time by 30% while boosting query performance by 73%. Read the case study.
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.
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.
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.
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.
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
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.
Challenges:
- 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.
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
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.
