Solution · Legacy migrations

Move off legacy without a leap of faith.

Legacy migrations are where most modernization programmes get stuck — too risky to attack head-on, too painful to leave alone. We do them in stages, with the legacy stack running until the new one is provably better.

The challenge

Legacy taxes every initiative.

The old platform still runs the business — that's exactly the problem. Every new project pays a toll in workarounds, every integration takes months, and the people who understood the system are leaving faster than it's being replaced.

A head-on rewrite is a bet nobody wants to sign. Leaving it alone costs more every year.

Our approach

Prove the new before retiring the old.

We migrate in stages, with the legacy stack running until the new platform is provably better — reconciliation on every load, and an exit test the business signs off at each stage.

Warehouse to lakehouse, on-prem to cloud, unmaintainable app to supported stack — the pattern is the same: no big-bang weekend, no leap of faith.

What it buys you

Removes a maintenance tax that grows every year. Unblocks the next platform investment. Gets the team out of firefighting and back to building.

When to start

Mid maturity. The right moment is when the legacy stack is blocking the next initiative — ML, real-time, group reporting — rather than as a standalone modernisation.

Use cases & how we solve them

Where this lands in practice. Each row opens with the detail — and what it buys you.

01

SQL Server / Oracle DWH → lakehouse

Phased migration with the legacy DWH running until the lakehouse parity is proven. Reconciliation on every load.

  • Phased migration with the legacy DWH running until parity is proven
  • Reconciliation on every load — differences surfaced, not discovered
  • Cutover happens when the numbers match, not when the plan says so

The payoff. A migration nobody downstream notices — until the reports get faster.

02

SSIS / SSAS / SSRS → modern data stack

The SQL Server-era stack — integration packages, analysis models, paginated reports — moved onto the modern platform: dbt / Fabric / Databricks underneath, Power BI on top. The dimensional model and report logic carry over intact, not rebuilt from memory.

  • Integration packages, models and paginated reports mapped and moved — not rebuilt from memory
  • dbt / Fabric / Databricks underneath, Power BI on top
  • The dimensional model and report logic carry over intact

The payoff. Twenty years of BI logic preserved; the platform behind it renewed.

03

On-prem → cloud migration

Lift the estate to the cloud in stages — landing zone first, workloads second, optimisation third. The business keeps running through every stage.

  • Landing zone first, workloads in stages, optimisation after
  • The business keeps running through every stage
  • Each stage has an exit test the business signs off

The payoff. The datacentre empties without a single big-bang weekend.

04

Legacy reporting modernisation

Excel / Access / file-share reports rebuilt against the governed semantic layer with no loss of the existing logic.

  • Excel, Access and file-share reports rebuilt on the governed semantic layer
  • Existing logic preserved — the numbers people trust stay the numbers
  • Ownership and refresh automated

The payoff. The report that ran on one person's laptop now runs the business.

05

Legacy application modernisation

The business app everyone depends on and no one dares touch — frameworks out of support, the last person who understood it long gone. We modernise it in slices: stabilise, cover with tests, then move piece by piece to a supported, maintainable stack.

  • Stabilise first, cover with tests, then move slice by slice
  • Business logic recovered from the code, not from the person who left
  • Each slice ships to production — no two-year rewrite gamble

The payoff. The app nobody dared touch becomes just another system.

06

Legacy integrations → APIs & events

Nightly file drops, point-to-point links, logic living in the integration itself. We replace the spaghetti with a clean API and event layer — so systems can finally be swapped without six months of side effects.

  • Point-to-point links and nightly file drops replaced with an API and event layer
  • Integration logic moved out of the pipes and into owned services
  • Systems become swappable without six months of side effects

The payoff. The next migration costs a fraction of this one.

Proof

How we deliver it

Through the Moberg Delivery Framework — the same five stages, governance and engineering standards we run on every engagement, from business case to long-term run. This is exactly the work Microsoft has independently validated us for — but the real assurance is old and new running side by side until the numbers match.

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