SAP data migration · data quality · BAU data operations

Governed ERP data work: migrate, clean and change SAP data with full control.

vise DMW, Data Run, LoV-MAP and FieldMap AI — in production at a global brewing group for 7 years. AI proposes, people approve, every change is audited.

Watch the 4-minute demo Start a 30-day PoC on your data

7 years
in production at a global brewer: ~15
operating companies on Data Run: 5 → 1
FTE to one specialist, Karlsberg

vise DMW · Reports · Portfolio health Nordic RolloutCEE Retail

+2% vs last week

Data quality score · 2 active sites

Validation

88%

Quality

83%

Completeness

57%

Norway · Vendor, Customer, MaterialOn track

Sweden · Vendor, Customer, MaterialOn track

[Placeholder — real vise DMW screenshot from the demo goes here]

Trusted in production by

Global brewing group[KARLSBERG LOGO]Energy infrastructure operator

ISO/IEC 27001 ISO 9001

Three jobs. One governed way to do them.

Migration programs, data quality before go-live and everyday data changes all touch the same SAP objects. We run all three through validation, simulation, four-eyes approval and an audit trail.

S/4HANA migration You run the program. 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. See the migration flow → Data quality before go-live One readiness score instead of twenty trackers. Rules per object, scorecards per site and program, top offending rules, correction queues for business users. Chosen over Ataccama and Informatica in a public tender. See the DQ scorecard → BAU data operations You keep ServiceNow. We standardise what happens after the ticket. Mass changes to materials, vendors, prices, plant maintenance and business partners — validated, dry-run, approved and posted through BAPI, never written to the database. See vise Data Run →

Four products, one data layer

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 →

vise DMW

Production · 7 years

Data Migration Workbench. End-to-end migration and data quality for any SAP object: customer, vendor, material, business partner, finance, plant maintenance.

ExtractScopeValidateProfileField MapValue MapLoad SimReport

[Screenshot: validation rules admin / DQ scorecard]

Explore vise DMW →

vise Data Run

Production · ~15 OpCos

Controlled execution of everyday data changes in SAP and IBM Maximo. Excel template in; validation, dry run, four-eyes approval, posting and audit trail out.

RequestValidateSimulateApproveLoadAudit

[Screenshot: Data Run request with validation results]

Explore vise Data Run →

vise LoV-MAP

Production

Value harmonisation for business users: payment terms, account groups, countries, currencies mapped once, approved once, reused across every site and wave. Step 6 of DMW or standalone with BODS.

[Screenshot: LoV-MAP dictionary, source → target values]

Explore vise LoV-MAP →

vise FieldMap AI

First production client

AI drafts the source-to-target field mapping and transformation rules with a confidence score. Your consultant accepts, edits or rejects every line; nothing reaches the target without approval. Step 5 of DMW or standalone.

[Screenshot: FieldMap AI proposals with confidence and approve buttons]

Explore vise FieldMap AI →

Customer story · Global brewing group

Seven years of data quality before every migration wave — and the daily changes after it.

vise DMW validates and profiles master data ahead of each SAP rollout. vise Data Run executes business-as-usual changes for around 15 operating companies — plant maintenance, business partners, finance — with a Visehub specialist embedded in the team.

[Customer quote — after consent]

Read the customer stories Karlsberg: SAP → Business Central with FieldMap AI

7 yrs vise DMW in production

~15 operating companies on vise Data Run

3 data domains: plant maintenance, business partner, FI/CO

0 direct database writes. Ever.

For SAP architects

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

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 about Migration Cockpit? Use it if it fits. DMW adds change mode, load simulation, rule-based validation and a correction loop for business users — and can feed the Cockpit or BODS instead of loading itself.

Where does our data live? AWS (ECS), customer connections over VPN, role-based access, encryption in transit and at rest. ISO/IEC 27001 and ISO 9001 certified.

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.

Read the technical overview and trust page →

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 objects, not by seats. 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.

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