Legacy Data Miner
Works out from actual usage which data the business really depends on, and what can be retired instead of migrated.
Discovery
Source Harvesters
An accurate inventory of what your legacy data estate contains, runs and depends on, including the logic that never makes it into a catalogue.
Most migration plans start from an inventory, and most inventories are wrong in the same way. They list objects, not behaviour. The logic a business actually runs on sits in report definitions, ETL jobs, scheduled scripts and stored procedures, much of it written by people who have since left.
Source Harvesters collects that evidence directly from each technology and combines it into one consistent model of the estate: what is used, what depends on what, and where the real complexity is. Every later step of the migration works from that model.
What it delivers:
- One inventory across BI, ETL and database layers
- Dependencies between reports, jobs and the data they use
- A complexity profile to base estimates and sequencing on
Further reading: Data platform migration assessment · Reconstructing a SAS estate · Extracting a BusinessObjects estate.
We describe what each accelerator does. How they work, including demonstrations, is something we show clients directly and under NDA, usually during an assessment.
The other accelerators
Agentic Reverse Engineering
Uses governed AI agents to analyse legacy code at scale, with every finding traced to its source and reviewed by an engineer.
Migration Testing Workbench
Compares legacy and target continuously from the first sprints, so cutover is signed off on evidence rather than confidence.
Lineage-Gated Observability
Data quality monitoring that takes lineage into account, so alerts point to causes instead of flooding teams with symptoms.
Planning a migration, or stuck in one?
Send a few lines about your estate. We reply within one working day, and sign an NDA first if you need one.