SAP HANA Optimization — Maximize Performance & ROI

Client: Mid-market financial services company, 1 800 employees managing $12B in assets across 14 US locations.

Challenge: SAP HANA Optimization was critical after the client's month-end close process required 14 business days to complete due to poorly tuned analytical queries and memory allocation issues. Regulatory reporting deadlines were at risk, and the finance team could not access real-time portfolio performance data during market hours.

Solution: Smartbrain.io deployed a team of 2 SAP HANA architects and 3 developers for a 12-week SAP HANA Optimization engagement. The project followed a structured approach: 2-week discovery with SAP HANA cockpit analysis, 4-week architecture redesign including memory management and row/column store optimization, 4-week implementation with SQL statement tuning and index redesign, and 2-week UAT with performance benchmarking. Tools included SAP HANA cockpit, SAP Solution Manager, and custom performance monitoring scripts.

Results: Month-end close reduced from 14 days to 3 days — a 79% improvement. Query response time for critical financial reports improved by 85%, with average execution under 4 seconds. The client achieved 99.97% system availability during the first quarter post-optimization and received clean SOX audit findings for their financial reporting systems.

Client: Regional healthcare network, 4 200 employees operating 6 hospitals and 42 outpatient facilities with $890M annual revenue.

Challenge: SAP HANA Optimization became urgent when patient record retrieval times exceeded 12 seconds average during peak hours, impacting clinical workflows and HIPAA-mandated access requirements. The legacy HANA configuration from a previous vendor was not designed for the 340% data growth experienced over 3 years.

Solution: Smartbrain.io assembled a 4-person certified SAP HANA team including 2 Solution Architects for the 16-week SAP HANA Optimization project. Discovery phase identified data distribution skew and suboptimal partitioning. Implementation included table redistribution, compression optimization achieving 58% storage reduction, and workload class configuration for clinical vs. administrative queries. All changes were validated against HIPAA security requirements with encryption-at-rest maintained throughout.

Results: Patient record retrieval improved from 12 seconds to 1.8 seconds average — an 85% performance gain. Storage costs reduced by $180,000 annually through compression. The system passed HIPAA compliance audit with zero findings related to data access performance, and clinical staff satisfaction scores improved by 34% in the post-implementation survey.

Client: Global manufacturing corporation, 12 000 employees across 8 production facilities in US, Mexico, and Germany with $2.1B annual revenue.

Challenge: SAP HANA Optimization was required when MRP runs began taking 18+ hours to complete, forcing the company to run planning processes overnight and delaying production schedules. The SAP S/4HANA system had grown to 4.2TB with significant performance degradation in production planning and shop floor control modules.

Solution: Smartbrain.io provided a 6-engineer team for comprehensive SAP HANA Optimization over 14 weeks. The approach included SAP HANA hardware sizing review, memory allocation redesign, SQL optimization for 2 400+ custom ABAP queries, and implementation of SAP HANA Native Development Objects for critical calculations. The team used SAP HANA studio, SQL Trace, and Execution Plan Analyzer for performance diagnostics.

Results: MRP runtime reduced from 18 hours to 4.2 hours — a 77% improvement enabling same-day planning cycles. Production scheduling accuracy improved by 23% with real-time capacity visibility. The project delivered 3.2x ROI within 12 months through reduced overtime, fewer production delays, and lower infrastructure costs. Go-live completed 1 week ahead of schedule with zero unplanned downtime.