<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Visehub blog</title><description>SAP data migration, data quality before go-live and governed everyday data changes — from the team behind vise DMW.</description><link>https://visehub.io/</link><language>en</language><item><title>Standardising SAP Plant Maintenance Data Across 15 Countries</title><link>https://visehub.io/sap-plant-maintenance-master-data/</link><guid isPermaLink="true">https://visehub.io/sap-plant-maintenance-master-data/</guid><description>How a global brewing group replaced spreadsheets, e-mail approvals and manual mass updates for five SAP PM object groups with vise Data Run: central governance, local data ownership, 16 expert users in four regional clusters, and an auditable path from Excel template to SAP.</description><pubDate>Wed, 29 Jul 2026 00:00:00 GMT</pubDate></item><item><title>What AI Actually Does in an S/4HANA Data Migration — and What It Doesn&apos;t</title><link>https://visehub.io/ai-assisted-data-migration/</link><guid isPermaLink="true">https://visehub.io/ai-assisted-data-migration/</guid><description>AI is not a data-cleaning button. It is a controlled accelerator for field mapping and rule authoring, and it only pays off when every AI draft passes human approval, a sandbox test and an audit trail. The numbers: about 30 expert-days by hand versus about 12 with FieldMap.</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate></item><item><title>S/4HANA Migration: What Data Preparation Really Costs When You Do It Yourself</title><link>https://visehub.io/s4hana-business-partner-conversion/</link><guid isPermaLink="true">https://visehub.io/s4hana-business-partner-conversion/</guid><description>Converting ~100,000 customer and vendor records to the S/4HANA Business Partner model takes 800–1,000+ internal hours when done by hand. Here is where the hours go, what they cost, and how a fixed-price data track with vise DMW, FieldMap and LoV-MAP changes the equation.</description><pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Why SAP ECC → Business Central Migrations Die on Data</title><link>https://visehub.io/sap-ecc-business-central-migration/</link><guid isPermaLink="true">https://visehub.io/sap-ecc-business-central-migration/</guid><description>Takeaways from ERP reDefined 2026 with IT.integro: migrations fail on data, not systems. Each step as a gate — profiling, validation at source, field and value mapping, load simulation — cuts five or six test migrations to one or two. Plus what FieldMap catches, and how to switch ECC off without losing its history.</description><pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate></item><item><title>ERP Data Readiness Layer: See Issues Before They Hit Production</title><link>https://visehub.io/erp-data-readiness-layer/</link><guid isPermaLink="true">https://visehub.io/erp-data-readiness-layer/</guid><description>In most ERP programmes data quality is discussed everywhere but rarely measured in one consistent way. A Data Readiness Layer gives leaders one answer to “Are we ready?”</description><pubDate>Sat, 21 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Value Mapping: How Global Companies Finally Standardise Master Data Across ERP Systems</title><link>https://visehub.io/value-mapping-lov-map/</link><guid isPermaLink="true">https://visehub.io/value-mapping-lov-map/</guid><description>Mapping old values to new ones sounds simple and is one of the most fragile parts of any ERP transformation. What goes wrong when value mapping lives in Excel, why multi-key mappings break spreadsheets, and how vise LoV-MAP turns mapping into a governed catalogue reused across waves, operating companies and targets.</description><pubDate>Mon, 24 Nov 2025 00:00:00 GMT</pubDate></item></channel></rss>