Issue
The client is a renewable energy producer that relies on many data sources to forecast production and inform its trading desk.
A web of disparate data feeds had become fragile and hard to maintain:
- Sources spanned public websites, private APIs, FTPs, and internally generated data.
- Feeds were processed through complex VBA Excel tools and legacy scripts into a legacy database.
- Maintenance depended on deciphering work left by a previous, now-unavailable employee.
Solution
MidDel consolidated fragile, employee-dependent data feeds onto the client's existing ZEMA platform:
- Analyzed the data sources, ingestions, and downstream use.
- Cataloged sources against the ZEMA library, identifying reusable and new processors.
- Reviewed and tested new ZEMA processors against legacy data and documented the differences.
Result
The client deprecated many complex VBA Excel tools and legacy scripts, removed key-person risk, and surfaced errors hidden in the legacy feeds.
Key Takeaways
- Undocumented VBA and orphaned scripts are technical debt and business risk. Migrating fragile, employee-dependent data feeds onto the managed ZEMA platform the client already owned removed key-person risk and even surfaced errors hidden in the legacy feeds.
- Use the platform you already have before buying another. Cataloging data sources against ZEMA's existing library is what let the client retire complex Excel tools quickly - a transferable, low-cost way to consolidate data feeds and cut technical debt.
Ready to do the same?
If critical data feeds live in one person's spreadsheets, MidDel migrates them to a managed platform you may already own. Let's talk.
