Data archiving
Move completed, closed and historical records out of the live database into archive storage, with full retrieval from within SAP. The database shrinks, the reports still work.
SAP Data Management
Move to S/4HANA without moving the mess.
Every uncontrolled terabyte in your landscape shows up somewhere on a bill: in HANA licensing that steps up in whole increments, in cloud subscription costs, and in the length of your migration window. We reduce the volume before it moves, and put retention rules in place so the problem stays solved.
Reduce before you migrate
Every terabyte left behind is infrastructure and downtime you never pay for.
Retire what you kept for reference
Legacy systems running only for lookups are duplicate licensing.
Rules, not a one-off clean-up
Retention policy so the estate does not silently refill.
The problem
Nobody budgets for data. Everybody pays for it.
Data volume is the one line in an SAP estate that grows on its own, has no owner, and quietly moves several other numbers at the same time. By the time it shows up in a licensing conversation, it has already been growing for years.
Licensing steps up in whole increments
HANA is sized in blocks. There is no half step, so a modest amount of unmanaged growth can trigger a full increase.
Migration windows get longer
Downtime is a function of volume. More data means a longer cutover, and a longer cutover means a harder conversation with the business.
Old systems stay switched on
Estates that go live but keep ECC running for reference access carry two licences, two support contracts and two audit surfaces.
Retention becomes a compliance question
Under DPDP, holding personal data longer than you need it is an obligation as well as a cost. Most estates treat it as neither.
The cheapest terabyte to migrate is the one you decide not to take with you.
How we open every data conversation
What we do
Six disciplines, one practice.
These are rarely bought separately. An engagement usually starts with one and ends up touching three, which is why they sit with one team.
Data volume management
Find where the growth actually is, table by table, and put a plan against each source. Most estates are surprised by which objects dominate.
Information lifecycle management
Retention rules, legal holds and defensible destruction, so records are kept exactly as long as they should be and no longer.
System decommissioning
Retire legacy systems you kept alive for reference access, with the data preserved and reportable, so the duplicate licensing and support stops.
Carve-outs and separations
Split a landscape cleanly when a business unit is divested or a joint venture separates, without dragging the whole history across.
Pre-migration data readiness
The reduction work that happens before the migration starts, so the project moves the estate you want rather than the one you have.
The order matters
Reduce first. Migrate second.
Doing it the other way around is the single most expensive sequencing mistake in an S/4HANA programme, because every saving compounds in the wrong direction.
- 1
Measure
Table-level analysis of where the volume sits, how fast it is growing, and which objects are actually in use.
- 2
Decide
What has to stay live, what can be archived, what can be destroyed, and what the retention rule should be for each.
- 3
Reduce
Archive and clean against the plan, with retrieval tested so the business never loses access to what it needs.
- 4
Migrate
A smaller estate moves faster, needs less infrastructure and shortens the downtime window.
- 5
Retire
Legacy systems decommissioned once the data is preserved, so the second licence and support contract ends.
Who this is for
You probably recognise at least one of these.
- Your HANA licence stepped up and nobody added a user.
- You are planning an S/4HANA move and the downtime estimate keeps growing.
- ECC is still running purely so somebody can look things up.
- A business unit is being sold and the systems have to separate.
- Your retention policy exists on paper and nowhere in the system.
- Nobody can answer how much of your data is still in active use.
What this does not do
Data management makes an estate smaller, cheaper and faster to move. It will not fix broken master data, redesign your processes, or rescue a programme that is late for other reasons.
If your problem is data quality rather than data volume, say so early and we will scope it as a different piece of work rather than sell you this one.
Start with the measurement.
The first thing we do is tell you how much data you are carrying and what it is costing. That conversation is short, specific, and it commits you to nothing.