The Complexity of Data Separation
For any large utility company, managing sensitive data is no easy task. With terabytes of information spread across multiple source systems, data separation and data classification quickly become a challenge. Add in limited resources and tight timelines, and the task grows even more complex.
At Stellar, consultant Ken Tran is leading a data separation project for a major utility client. The goal – to mask and archive sensitive information securely, while keeping the business running smoothly.
Collaboration is Key
Facing such challenges, the project has relied on collaboration and proactive planning. Ken and the Stellar team work closely with vendors to define clear separation rules. Regular meetings ensure that goals are understood, aligned, and delivered on time.
Staying on Top of Progress
Ken holds regular catch-ups with the client’s data management team, who monitor the data warehouse system every other day. This helps keep the project in sync with other teams’ progress. By identifying blockers early, the team can quickly resolve issues before they escalate.
Leveraging Technical Tools
In addition to collaboration, Ken has taken a hands-on approach with the source system administrators. By using the Oracle database metadata search feature, he can pinpoint tables that require masking or archiving. This ensures no sensitive data is overlooked and speeds up the preparation process.
Delivering Results
Thanks to this proactive approach, Ken has already completed several source system separations and prepared others to be deployed. Once the final timelines are confirmed, the team can act quickly to deliver the changes and meet the project’s objectives.
This project shows how strong data management, proactive collaboration, and the right tools can make complex data separation projects a success.
Get in touch if you’d like to find out how Stellar can help secure your data and achieve your project goals.
