Intelligent SAP BW MigrationMove the meaning first and turnmonths of migration into weeks
A paper on the end-to-end journey from legacy BW to governed, AI-ready data products.
What you will findin this insights paper:
Only 15 percent of SAP migrations finish on time and on budget. The cause is rarely technical execution. It is that teams start moving objects before they know what those objects mean, why they exist, or whether anyone still uses them.
This paper walks through the opposite sequence, stage by stage: extract the metadata, reconstruct the business meaning, retire what is dormant, and only then move what still creates value. Always as governed data products with clear ownership, full lineage and quality contracts.
Download the full insights paper →
What you will learn:
- Why the 2027 maintenance deadline for BW 7.5 is a scoping challenge rather than a technical one, and how understanding your landscape before you move it turns open-ended risk into a predictable, budgeted project.
- Why visibility changes everything: once you can see which objects the business still uses, dormant InfoProviders, orphaned DataStore Objects and superseded MultiProviders are retired before you pay to re-engineer, test and host them.
- How guided, automated translation turns captured business intent into clean, target-native SQL and compresses months of manual ABAP re-engineering into a fraction of the effort, while your architects keep full review control.
- How data contracts make quality a gate instead of a post-go-live discovery, so inconsistencies surface during modeling and the environment that goes live is measurably cleaner than the one it replaces.
- Why platform-independent data products keep your options open across Snowflake, Databricks, SAP Business Data Cloud and Datasphere, making your target a deployment decision rather than a re-modeling exercise.
Download our exclusive paper:"Intelligent SAP BW Migration: An End-to-End Journey From Legacy System to Trusted Data. With Metadata, Governed Data Products, And AI Agents.”
Change the sequence and you change the economics. Mapping meaning before moving data has delivered up to 80 percent less migration effort and cost, and no coordination bottlenecks between business and IT. What remains afterwards is not a one-time deliverable but reusable, governed, AI-ready data products that keep paying back long after go-live. This paper shows you how to get there.
Download your free copy now:
Who this paper is for:
- Chief Information Officers and Chief Data Officers: Turn a mandatory deadline into a modernization milestone, backed by a scoped, defensible business case instead of an open-ended budget risk.
- SAP BW and BI Program Leads: Follow this approach that settles scope, ownership and acceptance criteria before the first pipeline ever runs.
- Enterprise and Data Architects: See how a semantic knowledge layer replaces guesswork with an informed starting point for your target design.
- Data Engineering Leads: Remove the manual ABAP-to-SQL workload with generated, version-controlled code your team pulls, reviews and runs on its own terms.
- Heads of Data Governance and Compliance: Build ownership, quality rules and contracts into the migration itself, so governance arrives together with the data instead of after it.
- BI, Analytics and AI Leaders: Land in the cloud with documented, trusted data products that reporting, cross-entity consolidation and AI initiatives can rely on from day one.
Most migration approaches translate code. One Data reconstructs business meaning first, so only what still creates value moves – and what arrives is governed, trusted and reusable from the start.
Move the meaning first. The data will follow.