Source Harvesters
Builds an accurate inventory of what the legacy estate contains, runs and depends on, across BI, ETL and database code.
Scoping
Legacy Data Miner
Works out from actual usage which data the business really depends on, so you migrate what matters and retire the rest.
A BI estate that has grown for fifteen or twenty years holds thousands of reports and a data model built up piece by piece. When nobody can show which parts are still needed, everything gets migrated to be safe. That is one of the most common reasons migration budgets double.
Legacy Data Miner treats the report estate as a record of how the organisation really uses its data. From that record it derives the data the business depends on, and shows how far a small, well-chosen core goes in keeping reporting running.
What it delivers:
- A migration scope ranked by business dependency
- A list of retirement candidates, with the reasoning for each
- A migration order that delivers usable coverage early
- Effort and timeline ranges you can defend to a steering committee
Further reading: Rationalising a BusinessObjects estate · Data platform migration assessment.
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.