Data & Analytics Modernization
Moving off an ageing data platform is risky, and most projects stall halfway, leaving you paying for two systems. We move you across one report at a time, checking the new numbers match the old ones before anything is switched off.
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The real risk is not the switchover. It is still paying for the old system a year later.
What we run
We run the old and new systems side by side and compare them automatically, so you can see the new one is correct before you rely on it.
Finding everything that uses your data
Before moving anything we find every report, export, spreadsheet and application connected to your current platform. There are almost always more than anyone expects, and finding them now is far cheaper than discovering them later.
Automatically checking the numbers match
Both systems produce the same reports, and software compares them every day and flags any difference. Doing this by hand does not survive past the first few weeks.
Moving one report at a time
We pick a report, move everything it depends on, prove it is right, then switch that one team across. You get something finished within weeks instead of waiting months for a big launch.
Deciding what to fix and what to copy
Old systems contain quirks that are technically wrong but that people now depend on. We copy them exactly at first so the comparison stays clean, list every one, and fix them deliberately afterwards.
Working out the real cost first
You pay for both platforms during the move, and old contracts often charge the same whether you use them or not. We check your exit terms before committing to any date.
Actually switching the old one off
We agree the shutdown date at the beginning, give every remaining report a named owner, and put the old platform's monthly cost in front of someone senior until it reaches zero.
The differences are the valuable part
When the old and new systems disagree, the instinct is to assume the new one is broken. Often it is not. Running two systems side by side is the only reliable way to discover that a number you have been reporting for years was wrong.
- Every move we have run has found at least one incorrect figure in the old system
- These only come to light when two systems are forced to agree
- We agree upfront who to tell and how, before the first one is found
How the work runs
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Map what exists
Usually four to eight weeks. Skipping this step does not save time, it just moves the surprises to the worst possible moment.
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Build the safety net
The automatic comparison gets built before anything moves, because everything that follows depends on being able to prove the new numbers are right.
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Move one report at a time
Prove it matches, switch that team over, move to the next. Slightly slower at the start, far safer throughout.
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Switch the old one off
On the date agreed at the start, rather than a date negotiated once everyone has lost interest.
Nobody has to hold their breath
You are never more than a few weeks from something working, and there is no single weekend where everything has to go right.
Common questions
How long will this take?
For most organisations, several months. What we can promise is that you are never more than a few weeks away from something working, and you never face a single weekend where everything has to go right.
Will this reduce our costs?
Often less than the sales pitch suggests. Modern platforms charge for what you use, and once queries are no longer restricted, people run more of them. That is usually good for the business, but it is not a saving. We forecast based on how you will actually use it, not how you use the old system today.
What if we discover a number we reported was wrong?
It is likely you will. We agree in advance who needs to be told and how, so that when it happens there is a process rather than a panic. Allow time for your finance and legal colleagues, because that part is not on your schedule.
The wider modernization work
Moving platform is the visible part. These usually come with it.
Cloud and hybrid migration
Whole platforms or individual workloads, including the parts that stay where they are.
Modernising how data moves
Replacing brittle ETL jobs that only one person understands with tested, version-controlled logic.
Automated reporting
Retiring the reports someone rebuilds by hand every week.
Self-service analytics
Giving teams the ability to answer their own questions, against definitions that have already been agreed.
Predictive and machine learning work
Built onto the new platform where it earns its place, rather than bolted on afterwards.
Access control and audit trails
Role-based access and a record of who saw what, so the new platform meets the same obligations as the old one.
Training and adoption
Change management for the people who have to work differently afterwards, which is the part most migrations skip.
Designing for what comes next
An architecture that can take the next three years of growth without another migration.
Related services
Ready to turn complexity into your next advantage?
If a move has stalled, the quickest way forward is usually finding out how many reports are genuinely left.
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