T-Mobile's Data-at-Scale Initiative: A Case Study on Enhanced Data Management and Security

技术

适用行业

适用功能

用例

服务

挑战

T-Mobile 面临着在复杂的基础设施中管理和保护大量客户数据的挑战，同时还要应对数据泄露的风险。

关于客户

T-Mobile 是美国最大的无线运营商之一，拥有超过 1.16 亿用户。它非常注重客户体验，并进行了并购以加强其市场地位。

解决方案

T-Mobile 使用 Ataccama ONE 实施了“大规模数据扫描”计划，Ataccama ONE 是一个用于自动化数据质量、主数据管理和元数据管理的统一平台。该解决方案使 T-Mobile 能够构建集中管理系统，确保数据质量和合规性，并为内部和外部数据提供单一事实来源。

运营影响

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.

数量效益

$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