Managed Data Ops for complex ERP landscapes
vise Managed Data Ops (vise MDO) is an SLA-backed service that takes end-to-end ownership of mass data changes in your SAP and IBM Maximo landscape – from business request, through simulation, to safe deploy and full audit trail.
What problems we solve
- Slow, ad-hoc script development for each new change request.
- Fragmented ownership across business, IT and external vendors.
- Lack of audit trail for auditors and regulators (who/what/when/why).
- High dependency on a few key experts and contractors.
- Growing complexity from S/4HANA migrations and ERP consolidations.
What you get instead
- Single change factory for BAU and project-driven loads.
- Standard forms, playbooks and flows in vise DMW-Run.
- Quality and value mapping rules reusable across countries and systems.
- Predictable lead time and capacity measured in “rec-ops” not FTEs.
- EU-grade audit, GDPR controls and 4-eyes approvals built-in.
vise MDO – the answer to key market trends
The combination of S/4HANA migrations, talent gap and GDPR requirements makes traditional “one-off scripting” no longer sustainable. vise MDO gives you a disciplined, tool-driven operating model instead of ad-hoc heroics.
- S/4HANA migrations & ERP consolidations accelerate BAU data changes.
- Talent gap & rising internal costs increase demand for SLA-backed managed services.
- GDPR & auditors require controlled, repeatable change mechanisms – not loose scripts and files.
- Own tools: vise DMW, DMW-Run, LoV-Map, DMW-DQ.
- Proven track record in global SAP migrations and rollouts.
- Automation and standards: ready-to-use flows, quality rules and audit trail “by design”.
End-to-end data change in 4 controlled steps
From business request to safe deploy and KPI report – every step is captured in vise DMW-Run with full traceability, approvals and rollback plan.
Structured intake in DMW-Run
- Standard form: object, scope, rule, validation, risk, deployment window.
- Prioritization (P1–P4) and initial estimation of “rec-ops” credits.
- Optional analysis: sample extraction, rule configuration, rollback scenario design.
Quality rules & dry-run
- Run data quality rules and value mapping (vise LoV-Map) on the dataset.
- Fix issues in controlled collaboration with business users.
- Execute dry-run on QA or PRD “no-write” and capture 4-eyes approvals.
Safe load with rollback ready
- Execution in agreed change window with batching and throttling.
- Real-time monitoring of progress and performance.
- Rollback plan in place (snapshot/copyback if agreed).
Audit trail & KPI impact
- Automatic release notes: who / what / when / why.
- Full execution log and reconciliation report.
- KPI deltas: lead-time, rework, DQ score uplift – per request and per object.
Service catalog – from hygiene to mini-migrations
vise MDO covers BAU mass changes, value harmonization, data hygiene and controlled mini-migrations – all using the same tools and operating model.
On-demand & recurring batches
- Materials, BP / customer / vendor, prices, BOMs, PM, open items.
- Create, correct, replace, harmonize, deactivate, key-swap.
- One-off waves (e.g. new plant or country rollout).
vise LoV-Map driven
- Align reference lists across systems and countries.
- Maintain S/4HANA-compliant value sets.
- Central catalog of LoV mappings with versioning & approvals.
Stay ready for the next project
- Periodic DQ profiling and quick-wins recommendations.
- Backlog of corrective actions in DMW-Run.
- “Always ready” baseline for upcoming S/4HANA or consolidations.
Security & GDPR – built into the operating model
vise MDO is designed as an EU-grade service: private connectivity, strict access control, 4-eyes approvals and detailed logs for every change request.
MFA, RBAC & least privilege
- Named accounts, SSO/MFA, role-based access.
- Time-boxed access with full session logging.
- Separate roles for build, validation and approval.
Dry-runs, 4-eyes & rollback
- Mandatory dry-run on QA or PRD “no-write” before deploy.
- Dual approval for high-risk changes, CAB where required.
- Snapshot / rollback options and complete execution log.
GDPR & connectivity
- Site-to-site VPN or PrivateLink; data stays on-prem or in your cloud region.
- Processing under your DPA, EU residency, PII minimization & masking in non-PRD.
- TLS 1.2+ and hard separation of environments.
Transparent tiers with measurable savings
We measure capacity in “rec-ops” (record operations) and offer three standard tiers. Compared to internal delivery, clients typically save 45–50% per 1,000 rec-ops, while gaining better control and audit.
- SLA: ≤ 3 business days.
- 1 environment (e.g. PRD + 1 non-PRD).
- 2 core objects included, add-on packs available.
- Monthly DQ report.
- SLA: 1 day (with urgent capacity).
- 2–3 environments.
- 5 objects included, add-on packs available.
- Weekly DQ report and trend analysis.
- SLA: 1 day (with dedicated urgent lane).
- 2–3 environments, multi-country scope.
- 10+ objects, custom catalogs and DQ scorecards.
- Quarterly value reviews and roadmap.
5-day PoC & 90-day pilot
We start with a focused PoC to build the first approved flow with full audit trail – usually in 1–5 days. After that, a 90-day pilot proves KPIs and makes the retainer decision easy.
5-day PoC – from profiling to safe deploy
Initial data profiling, object scoping and quick-win corrections.
Design data flow in DMW-Run, define quality rules and mapping.
Execute dry-run, review results with business, capture 4-eyes approvals.
Run controlled deploy in PRD, smoke-test and reconcile.
Deliver DQ report, lessons learned and roadmap for BAU flows.
90-day pilot milestones
- Week 1: PoC sprint – baseline DQ, first flow in DMW-Run, dry-run, safe deploy, report.
- Day 30: 2–3 BAU processes live, initial KPIs and SLA tracking, monthly DQ report.
- Day 60: Scale to second area/country; optional LoV-Map harmonization; weekly DQ reports.
- Day 90: KPI dashboard, knowledge transfer, runbook, final commercial proposal for retainer.
Specialized roles, clear RACI, proven tools
vise MDO is delivered by a multi-disciplinary team using vise DMW, DMW-Run, LoV-Map and DMW-DQ – with a clear RACI from request intake to reporting.
Service & architecture
- Service Lead (SL) – P&L, SLA, escalations, CAB.
- Data Architect (DA) – change patterns, risk, cross-object consistency.
- Account Manager (AM) – roadmap, stakeholder management, commercials.
Build & quality
- Tooling Engineer (TE) – DMW / DMW-Run / LoV-Map flows & automations.
- DQ Engineer (DQE) – profiling, rules, scoring, DQ reports.
- QA / Validator (QA) – dry-runs, comparisons, regression control.
Operations & compliance
- Operations Coordinator (OC) – intake, scheduling, deployment windows.
- Security & Compliance (SC) – access, GDPR, logging and audits.
KPIs & quality gates we track together
We measure the service on clear, quantitative KPIs – so that improvements in data operations are visible to both IT and business stakeholders.
% of tasks delivered within SLA by priority (P1–P4).
P90 lead-time in business days from request creation to deploy.
Number of post-deploy defects per 1,000 rec-ops.
Data quality score improvement vs. baseline per object.
Share of tasks delivered without additional correction cycles.
Dry-run, 4-eyes approvals and full audit trail for 100% of production changes.
Ready to modernize your ERP data changes?
Let’s start with a 45-minute Data Readiness Check to understand your landscape, typical change patterns and where vise MDO can bring the most value.
Email us at office@visehub.io and mention “Managed Data Ops” in the subject line – we’ll propose dates and a draft 90-day pilot plan.
