THE COMPLEXITY & FRICTION
Operating across 38 locations, this energy leader struggled to monitor sensitive PII data dispersed across Azure, Oracle, and SQL Server. Manual privacy monitoring could not keep pace with the massive volume of data flowing through active pipelines, leading to a critical gap in privacy assurance. With over 200 million rows of data being processed, the risk of non-compliance with regional privacy laws was a significant operational threat. This lack of visibility meant that data quality issues often went undetected until they impacted downstream billing.
THE STRATEGIC PARADIGM
Alex Solutions was selected as the primary platform to ingest and profile 200 million rows from 60 core databases, applying 25 different sensitivity types. This enabled near real-time data checks within active pipelines, automatically tagging personal identifiers and proprietary business data. By integrating automated quality rules and active metadata at the source, the platform provided the energy provider with a resilient framework that ensured governance was woven into the data flow, maintaining high standards without slowing down the rapid pace of its renewable energy expansion.
TECHNICAL INFRASTRUCTURE & INTEGRATION
| Cloud Services | Microsoft Azure |
| Databases | Oracle, SQL Server |
| Big Data Layers | Databricks, Snowflake |
QUANTIFIABLE OPERATIONAL IMPACT
- 200M+ rows profiled for sensitivity and quality with zero manual intervention.
- 25 sensitivity types automatically detected and tagged across the network.
- 24 automated quality rules implemented at the source pipeline level.
- Enhanced operational stability through proactive alerts, ensuring only trusted data is used.
