Data Strategy & Foundation

Data Migration
Strategies

Low-risk migration plans that move data to new platforms without breaking trust or losing history.

Migrations are where data quality, history and trust go to die — unless they’re planned properly. We design and run migrations that move your data cleanly, with validation at every step, so the new platform launches with data people believe in.

The problem

When migrations go wrong

A botched migration poisons trust in the new platform from day one.

01

Garbage carried over

Bad data migrates straight into the shiny new system.

02

Lost history

History and lineage are dropped or scrambled in the move.

03

No validation

No way to prove the migrated data matches the source.

What we do

Migration done safely

Three capabilities for low-risk moves.

Migration Strategy & Plan

Migration Strategy & Plan

A staged, low-risk plan with rollback and validation.

Cleanse & Transform

Cleanse & Transform

Data cleaned and reshaped to the target model en route.

Reconciliation & Validation

Reconciliation & Validation

Proof that source and target match, record for record.

What you get

What you receive

A migration you can trust.

Migration plan

Staged approach with rollback and checkpoints.

Cleansing & transforms

Data fixed and mapped to the target.

Validation evidence

Reconciliation proving the move is correct.

Book a 60-minute working session

Bring a real decision or dataset — we’ll show you how KEPLER would approach it, with no obligation.

Book a 60-minute session
Where we start

A focused, low-risk first step

We start with a short diagnostic — the decision to improve, the data behind it, and a first slice that proves value fast. See how we engage →

Sample outputs

Typical data foundation artifacts you’ll receive

Governed data modelHarmonised data layerKPI framework & dashboardsData-quality & governance viewsSelf-service analytics datasets
Engagement model

Engage at the level that fits

From a quick diagnostic to a fully managed service — start small and scale as value is proven. How we engage →

How we work

How migration runs

From source to validated target.

Assess

Source data and target model are mapped.

Plan

A staged, reversible plan is set.

Cleanse

Data is cleaned and transformed.

Migrate

Data moves in controlled stages.

Validate

Source and target are reconciled.

Outcome

A clean start, not a mess

The new platform launches with data people believe.

  • Bad data fixed, not carried over
  • History and lineage preserved
  • Migration validated and proven
  • Trust intact on day one
PlanStaged
DataCleansed
MoveReversible
ResultValidated
FAQ

Common questions

Can you migrate with minimal downtime?
Yes — we design staged or parallel-run approaches to keep downtime and risk low.
Which platforms?
We’re platform-neutral — ERP, data warehouse, lakehouse and cloud migrations across the major ecosystems.
Use cases

Representative use cases

Common problems in this area, how KEPLER solves them, and the likely outcome.

A migration risks losing or corrupting critical data
ERP / platform · Migration

A migration risks losing or corrupting critical data

Zero data loss

View details →
Old systems can’t be retired because the data’s trapped
Legacy · Decommission

Old systems can’t be retired because the data’s trapped

Legacy safely retired

View details →
A cloud migration keeps slipping for fear of the switch
Cloud · Cutover

A cloud migration keeps slipping for fear of the switch

Confident cutover

View details →

Migrate without the mess

Tell us what you’re moving and we’ll plan a low-risk migration.

Talk to our data team