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Customers

Production, not pilots.

Few customers, long relationships. We name a customer only with written consent; where we cannot yet, the facts still stand — and a reference call is arranged after the PoC readout.

Read the Karlsberg case Start a 30-day PoC
since 2017
vise DMW in production at a global brewing group
Several
continents with SAP rollouts on vise DMW
Dozens
of countries migrated to SAP from Navision, JD Edwards and legacy sources
1 tender
won in public procurement ahead of two global DQ vendors — project starting

01

Who runs it, and what runs there.

Three customers, three different jobs: data quality before every rollout wave and everyday changes after it; a move off SAP delivered by one specialist; a public data-quality tender.

01
Brewing · SAP rollouts worldwide

Global brewing group

Data quality before every migration wave since 2017 — 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 operating companies across the group — plant maintenance, business partners, finance — with a Visehub specialist embedded in the team.

vise DMWvise Data Runvise LoV-MAP
What runs there
vise DMW
Data quality and profiling ahead of every SAP rollout wave — in production since 2017
vise Data Run
Business-as-usual changes for operating companies across the group: plant maintenance, business partners, finance
vise LoV-MAP
Value harmonisation for the lists of values each wave touches
02 Brewing · SAP → Business Central

Karlsberg

Customer and BOM data for an SAP-to-Navision move, delivered by one specialist instead of five.

Scattered, duplicated customer records and complex production BOMs were cleansed, deduplicated into golden records and transformed to the Navision structure. Rules built for the first German entity were reused for the French one.

5 → 1
FTE-equivalent of work handled by one Visehub specialist
1.5 yrs
iterative deliveries across DEV, QA, UAT and PROD
vise DMWvise FieldMap
Read the full case
03 Energy · data quality tender

Energy infrastructure operator

Selected as the data quality platform in a public tender, ahead of two global data-quality vendors.

Why it matters Data-quality tenders are usually a two-horse race between the large platforms. Winning one with a workbench built around SAP objects, scorecards per site and a correction loop for business users shows the approach holds up without a migration attached.
vise DMW
See the DQ solution

02

In their words.

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

Other customers are quoted after written consent. Until then, the numbers above are what we can show.

Want to talk to one of them?

Reference calls are arranged after the PoC readout, with the customer’s consent. Start with one object from your system; the call comes once you have seen the result.

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