How do you load into S/4HANA?

Standard BAPIs, IDocs and OData only. Never a direct table write. Business Partner goes through CVI like any SAP-approved tool.

What does the AI actually touch?

Drafts: field mappings, transformation rules, validation rules. Never the target system. Every proposal is versioned, tested in a sandbox and approved by a named person.

Do you only work with SAP?

SAP is where we come from and where most of the work lands: ECC and S/4HANA are the usual target. But the platform connects to any source and any target — we have loaded into IBM Maximo and Navision / Business Central as well, and read from JD Edwards, Dynamics and legacy systems.

SAP data, governed

Migrate, validate and change SAP data — with full control.

Validation, load simulation and four-eyes approval before data reaches SAP — in a migration programme or in everyday operations. AI suggests, your people approve.

Watch the demo Start a 30-day PoC on your data

vise DMW portfolio health: 91.5% valid records across two active sites, +1% vs last week, next milestone Norway data sign-off in 28 days — vise DMW · eight governed steps Step 3 · Validate

01 Extract
02 Scope
03 Validate
04 Profile
05 Field Map
06 Value Map
07 Load Sim
08 Report

Three jobs. One governed way to do them.

Migration programmes, data quality and everyday data changes all touch the same master-data objects. We run all three through validation, simulation, four-eyes approval and an audit trail. The software is vise DMW; the project work is our migration team; the everyday operations are a managed service — take one, two or all three.

Built for SAP ECC and S/4HANA — and works with any source and any target: other ERPs, IBM Maximo, Business Central, databases, flat files. Systems →

01 S/4HANA migration You run the programme. We own the data track. Extract, scope, validate, profile, map fields and values, simulate the load, report — the eight steps of vise DMW, with AI-drafted field mapping that a human approves. 8 stepsExtract to Report, in one workbenchBAPI · IDoc · ODataStandard interfaces only — never a table writeAI drafts, people approveMappings and rules, versioned and signed off See the migration flow

02 Data quality & validation One readiness score instead of twenty trackers — on SAP data or any other source. Rules per object, scorecards per site and programme, top offending rules, correction queues for business users. Selected in a public tender ahead of two global DQ vendors. See the DQ scorecard 03 BAU data operations Business teams prepare bulk changes. IT keeps control. Mass changes to materials, vendors, prices, plant maintenance and business partners — validated, dry-run, approved by a named person and posted through standard interfaces. Your ticketing stays where it is. See vise Data Run

Four products. From migration to everyday data operations.

vise DMW is the backbone. The other three plug into its steps or run on their own next to BODS, Migration Cockpit or any ETL you already have.

How the products fit together

01 · Flagship

vise DMW

Know what will fail before you load.

One workbench for migration and data quality, where business and IT work on the same data: extract from any system, validate and profile, map fields and values, simulate the load, post through the target’s standard interfaces, report.

Explore vise DMW

vise DMW data-quality dashboard in Apache Superset: 91.52% valid records, validity trend per site over October, invalid records per site — Data-quality dashboard — trend per site, live on the same data

vise FieldMap

Mapping drafted by AI, decided by your consultant.

Right after extraction and profiling, FieldMap proposes every field pair and transformation rule with a confidence score and the reason behind it. Your expert approves, edits or rejects line by line; every decision is versioned before anything is transformed.

vise FieldMap value profiling: donut chart of the 953 values found in a source field — TRAD 41.8%, HITE 30.2%, MBAU 13.1%, TEXT 12.7% and the long tail — Value profiling — what a source field really contains, before the mapping is proposed

Explore vise FieldMap

vise LoV-MAP

Map values once. Reuse the decisions in every wave.

Business users harmonise payment terms, account groups and the other lists of values before the load. LoV-MAP checks dependencies, flags values the target will not accept and records who approved what — inside vise DMW or next to any ETL.

vise LoV-MAP project tables: value tables grouped by object with mapping decision, tags, status and completion — One project, every value table — decision, owner and completion per table

Explore vise LoV-MAP

vise Data Run

Business teams prepare bulk changes. IT keeps control.

Changes to materials, vendors, prices, plant maintenance or business partners are validated, dry-run, approved by a named person and posted through standard interfaces, with the audit trail written for you. SAP, IBM Maximo, Navision / Business Central.

vise Data Run work queue: eleven SAP objects — equipment, functional locations, maintenance plans, business partners, materials, cost centres — each with status, SAP connection light, data owner, DM consultant, plant and SLA — Work queue — every object with its status, owner and SLA; one row per change in flight

Explore vise Data Run

“A simple briefing combined with a deadline was enough to receive a high-quality result on time.”

Jonah Back, Team Lead ERP & End-to-End Business Processes, KarlsbergCustomer stories

Since 2017in production at a global brewing group

Severalcontinents with SAP rollouts

Dozens of countriesmigrated from Navision, JD Edwards and legacy sources

For SAP architects

The questions you will ask on the first call, answered here.

01 How do you load into S/4HANA?: Standard BAPIs, IDocs and OData only. Never a direct table write. Business Partner goes through CVI like any SAP-approved tool.
02 What does the AI actually touch?: Drafts: field mappings, transformation rules, validation rules. Never the target system. Every proposal is versioned, tested in a sandbox and approved by a named person.
03 Do you only work with SAP?: SAP is where we come from and where most of the work lands: ECC and S/4HANA are the usual target. But the platform connects to any source and any target — we have loaded into IBM Maximo and Navision / Business Central as well, and read from JD Edwards, Dynamics and legacy systems.

All questions, with the technical overview

Start small, on your own data.

No enterprise licence up front. Per-project pricing, a proof of concept on a real object, and a team that stays after go-live if you want it to.

01 30-day proof of concept One data object from your system, profiled, validated and mapped. You get a data assessment report and a working project — not a slide deck.
02 Per-project licence Priced by sites and user accounts — the more sites, the lower the price per site. Scales from one plant to a multi-country programme.
03 Run it with us, or on your own Your IT runs it, we run it for you under SLA, or hybrid: a Visehub specialist embedded in your team on Teams, the way our longest-standing customer works with us.

Three ways in, in this order.

How we work, in detail →

Second opinion

Already have a migration quote? Get a second opinion on the data track.

Send us the scope and the quote. You get a written assessment: which objects carry the delivery risk, what the quote assumes about data quality, where the test-migration count is optimistic — and, if it makes sense, our offer for the data track or for the risky objects only.

Request a second opinion How we deliver

Show us one messy object. We will show you what it takes.

Book 45 minutes with a consultant who has done this in production for years, or start the 30-day PoC straight away.

Pick a time Watch the demo first