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Services · Managed Data Ops

Fast, safe and auditable ERP data changes — run for you.

An external expert team delivering SLA-backed mass data changes for SAP, IBM Maximo, Microsoft Dynamics 365 Business Central and legacy Navision. Full audit trail, controlled execution, and no more ad-hoc scripts nobody wants to own.

ERP BAU and rollout change factory Audit-ready, GDPR-aware
Book a 45-minute readiness check See the 5-day PoC ↓
Every change, the same four stepsRun by Visehub under SLA
  1. 01 Request Structured intake: scope, rules, risk level, deployment window. An Excel template per object, not a free-text ticket.
  2. 02 Validate Quality checks against SAP reference data and your business rules, dry run, approvals — before any production write.
  3. 03 Deploy Controlled execution through standard interfaces, with monitoring, batching and a correction queue for rejected records.
  4. 04 Report Audit trail, reconciliation and a clear record of what changed, by whom, when.
Configured as a process in vise Data Run; posting through standard interfaces only — never a direct database write.

01 · Why managed

Managed data changes without the usual ERP chaos.

Ad-hoc scripting, scattered ownership and repeated firefighting replaced by one repeatable, auditable model, delivered with vise DMW, vise Data Run and vise LoV-MAP.

01Less internal effortLess dependence on manual scripts, scattered ownership and repeated firefighting.
02Safer executionDry run, approval and full traceability before anything is written to production.
03Scalable operationsThe same process for every object, environment and country; more volume without more scripts.

02 · The flow

One controlled flow from request to report.

  1. 01RequestStructured intake: scope, rules, risk level, deployment window. An Excel template per object, not a free-text ticket.
  2. 02ValidateQuality checks against SAP reference data and your business rules, dry run, approvals — before any production write.
  3. 03DeployControlled execution through standard interfaces, with monitoring, batching and a correction queue for rejected records.
  4. 04ReportAudit trail, reconciliation and a clear record of what changed, by whom, when.

Configured as a process in vise Data Run; posting through standard interfaces only, never a direct database write.

03 · Scope

Three focused areas.

  • 01Mass data and BAU changesRecurring updates to customers, vendors, materials, prices, BOMs, plant-maintenance data, open items and similar objects — in SAP, IBM Maximo, Business Central or legacy Navision.
  • 02Value mapping and harmonisationCentral alignment of reference values across systems and countries with vise LoV-MAP, maintained as a catalogue, not a spreadsheet.
  • 03Data hygiene and readinessPeriodic profiling, a corrective backlog and a cleaner baseline before migrations, rollouts and consolidations.

Capacity tiers.

TierCapacitySLAScope
Essential20,000 record operations / month3 business days1 environment, 2 core objects
Professional50,000 record operations / month1 day, urgent lane2–3 environments, 5 objects
Enterprise100,000 record operations / month1 day, urgent laneMulti-country, 10+ objects

Capacity in monthly record operations. Pricing on request after the readiness check.

04 · 5-day proof of concept

One real change, end to end, in five days.

You bring one recurring change — a price update, a vendor mass change, a plant-maintenance reorganisation. We configure the template and the rules, run validation and the dry run, your approver signs off, we post it and hand you the audit trail. You see the whole model on your own data before deciding on a tier.

In production Global brewing group Everyday data changes for operating companies across a global brewing group — plant maintenance, business partners, finance — run with a Visehub specialist embedded in the data team. Customers

05 · FAQ

Questions we get.

01What counts as a record operation?
One create, update or delete of one record in the target system, after validation and approval. Capacity is measured per month and sized to your change patterns on the readiness check.
02Which systems?
SAP ECC and S/4HANA (BAPI, IDoc, OData), IBM Maximo, Microsoft Dynamics 365 Business Central and legacy Navision. Other systems through the Python API.
03Do we lose control of our data?
No. Your people approve every change (four-eyes), the audit trail is yours, and the templates, rules and dictionaries stay with you if you take the operation in-house later.
04How does it start?
A 45-minute ERP Data Readiness Check: your change patterns, priorities and where a managed model saves the most. Then a 5-day proof of concept on one real change.

Start with the 45-minute readiness check.

Your change patterns, your priorities, and where a managed model would deliver the most. Or write to [email protected] with “Managed Data Ops”.

Book the readiness check vise Data Run