Data modernization,
run as a factory.

Data estate modernization moves legacy databases, SAP data and BusinessObjects reports onto a platform such as Microsoft Fabric or Databricks without losing a number. We run it as a factory: the source inventory becomes a wave plan, every wave follows the same four stages, and each wave is reconciled with its source and signed off before cutover. Access and lineage are built into the target from the first wave.

Assess typically takes two weeks, the Blueprint phase two to three weeks and the first wave, run as a Pilot, four to six weeks; later waves follow on a quarterly rhythm. Each phase through the Pilot is fixed price and fixed scope, priced up front. The full length of the move depends on the size of the estate, which the wave plan sizes before delivery begins.

Either can be the right target, and we move estates onto both. If the platform is still open, that choice belongs in Strategy & Advisory, where it is made on your workloads. Once it is chosen, Modernization maps every source component to the service that suits it. Our tooling covers both: GovKit sets up Unity Catalog on Databricks, or workspaces, domains and Purview lineage on Fabric.

Every wave is reconciled with its source before cutover, and no wave goes live without signed evidence. Migration Recon compares source and target at four levels, schema, row, checksum and cell, and every difference is explained before the target is accepted. You keep the evidence reports, the cutover plan and the rollback plan. Migration Recon can also issue evidence for a move another firm runs.

A factory moves the estate in repeatable waves; a big-bang migration bets everything on one cutover weekend. The heroic approach relies on a long freeze and one conversion tool, and a copied table proves little when the reports built on it no longer agree. In a factory, each wave runs the same line, logic is redesigned where its meaning would not survive conversion, and the evidence travels with the data.