Selective Data Carving for Accelerated S/4HANA Transitions
Core Enterprise Impact
Months of Downtime Saved delivered through optimized digital workflows.
Executive Overview
Bypass the traditional 'copy-everything' trap that plagues S/4HANA migrations — using intelligent, selective data carving to separate cold, rarely-accessed historical records from high-velocity active streams, dramatically shrinking cutover windows, lowering cloud costs, and accelerating go-live dates by months.
S/4HANA migration projects are notorious for overrunning budgets, timelines, and internal resources — and the primary culprit is almost always the sheer weight of decades of unpartitioned, unstructured historical ERP data. Companies running SAP ECC for 15+ years often accumulate 20 to 30 terabytes of transactional baggage — purchase orders from 2008, delivery confirmations from 2012, and financial postings from long-closed fiscal years — that legally must remain queryable but hold zero operational relevance for the new system. Traditional migration strategies treat all data equally, forcing IT teams to lift-and-shift massive, inactive tables, leading to multi-week production downtimes, astronomical cloud provisioning costs, and project timelines stretching into years. Auggit's selective data carving use case offers a radically different approach. SLaiCE intelligently profiles the entire legacy database, identifying historical records older than a defined threshold (e.g., 5 years) and surgically carving them into a separate, fully compliant, but near-line archive that remains accessible for audits and legal discovery. Only the active core streams — open orders, active vendors, recent financials, and current master data — are migrated to the new S/4HANA environment. This 'thin migration' strategy moves less than 30% of the total volume, reducing cutover complexity by 70% and shrinking the actual downtime window from months to just a few days.
Key Operational Benefits
Architecture & Implementation
Auggit integrates directly into existing corporate structures without disrupting live daily operations. By bridging enterprise data storage with automated indexing, organizations establish a single, verifiable source of operational truth.
