Ataccama
Case Studies
T-Mobile's Data-at-Scale Initiative: A Case Study on Enhanced Data Management and Security
Overview
T-Mobile's Data-at-Scale Initiative: A Case Study on Enhanced Data Management and SecurityAtaccama |
Analytics & Modeling - Machine Learning Networks & Connectivity - 5G | |
Cement Telecommunications | |
Quality Assurance | |
Inventory Management Time Sensitive Networking | |
System Integration Testing & Certification | |
Operational Impact
The 'Data Scanning at Scale' initiative resulted in an automated, self-improving, closed-loop solution that onboards data sources, classifies data with automated rules and advanced machine learning, integrates with ticketing systems to create data remediation tasks, and provides reporting. Over 22,000 databases and 5,000 applications with over 8 PB of data were scanned. The data governance team now uses Ataccama ONE for continuous scanning systems, classifying data, and securing newly added sensitive assets. The solution also provides an always-on automated data scanning, classification, and protection for existing and new data sources, and a solution for Data Mesh metadata gathering and disciplined, comprehensive data management. This has put T-Mobile in a stronger position to protect itself against third-party attacks, secure its data, comply with industry standards, and turn its data into a competitive advantage to better serve its customers. | |
Quantitative Benefit
$350 million in cost-avoidance and consumer protection by eliminating the risk of PII leakage | |
$50 million in savings through data reuse and removing redundant systems and databases | |
$25 million in savings by reducing data preparation times for AI teams | |