The deadline is fixed, but the industry's track record is less certain. Independent studies from Horváth and ISG agree: over 60% of SAP transformations exceed budget and schedule, and only around 15% finish on time. The root cause isn't technical execution. It's a knowledge gap—teams start moving data before they understand what it means, why it exists, or whether it's still needed.

This whitepaper shows how One Data closes that gap end to end. Rather than translating objects one by one, the platform reconstructs business meaning first: extracting metadata from the legacy BW landscape, mapping lineage at object and field level, and surfacing the logic hidden in ABAP routines. Only what still delivers value moves forward—packaged as governed data products with explicit ownership, lineage, and quality contracts.

Follow the full journey across five stages, from metadata extraction and scope reduction through target design, AI-assisted ABAP-to-SQL translation, and validated go-live. See how a live SAP BW-to-Snowflake migration compressed months of manual analysis and re-coding into weeks—with up to 80% less effort and cost, and a target environment measurably cleaner than the one it replaced.

You'll also learn why the payoff outlasts the project itself: platform-independent, reusable data products that keep your KPIs, reporting, and AI initiatives trustworthy long after go-live.

Turn an open-ended risk into a scoped, predictable project. Move the meaning first—the data will follow.