The Master Data & ERP Transformation Playbook
English | October 11, 2025 | ASIN: B0FVTQBJPD | 215 pages | Epub | 4.84 MB
English | October 11, 2025 | ASIN: B0FVTQBJPD | 215 pages | Epub | 4.84 MB
Master data makes or breaks ERP.
Most S/4HANA programs don’t slip because of code—they slip because product codes don’t match, business partners duplicate, and no one owns the golden record. The Master Data & ERP Transformation Playbook is a practitioner’s field-guide for leaders who must deliver clean, governed data and a successful SAP S/4HANA migration on real deadlines.
What you’ll learn (and apply immediately)
Decide the right path—Greenfield vs. Brownfield vs. Hybrid—with clear trade-offs and cutover implications.
Stand up an effective data governance & MDM operating model (roles, RACI, policies).
Build a pragmatic data quality program—rules, KPIs, SLAs, adoption tactics, and tool selection.
Design data architecture, dictionaries, and catalogs that accelerate mapping and lineage.
Execute the end-to-end migration (discovery → cleansing → load → reconciliation → hypercare).
Sustain value post go-live with observability dashboards and practical AI use cases.
What you get
Templates & checklists: governance charter, maturity model, DQ rule library, go/no-go data gates, cutover & reconciliation packs, RAID logs, value driver maps, and more.
Ready-to-adapt SQL & Python snippets for profiling, deduping, and pre/post-load validation.
Case-based playbooks for material master, business partner harmonization, and finance masters.
Who this is for
Program directors, CDOs, Heads of Data/MDM, SAP/solution/data architects, and PMO leads who need a single, cohesive guide—from executive decisions to hands-on execution.
Why this book
Vendor-agnostic but ERP-aware, it blends strategy with checklists and working code. Use it to de-risk decisions, focus effort on the 20% of attributes that drive 80% of value, and ship a clean, governed S/4HANA implementation that lasts.
Ship outcomes, not slogans—govern, cleanse, migrate, and sustain your master data with confidence.