CASE STUDY
INDUSTRY
Food Ingredients Manufacturing
SOLUTION
Analytics Modernization
TECHNOLOGY
SAP to Incorta Migration
THE CHALLENGE
Complex SAP Landscape.
Tight Timelines.
The client’s existing SAP environment introduced significant complexity at every phase of the analytics migration. Extracting source-to-target mappings, handling intricate Spark SQL logic, and validating migrated report outputs were time-intensive tasks that risked delaying the project and inflating costs. The team needed a smarter approach that could compress cycles without sacrificing quality or accuracy.
SOLUTION DELIVERED
AI-Accelerated
SAP Analytics Migration
- Employed AI tools to mitigate SAP complexity and reduce the cognitive load on the delivery team throughout the analysis phase.
- Utilized AI accelerators to generate source-to-target mappings directly from extractor code, eliminating manual mapping effort.
- Applied AI prompting and tooling to enhance efficiency across both analysis and development cycles, compressing overall delivery timelines.
- Used AI to write complex Spark SQL logic into Incorta materialized views, accelerating a task that previously required significant manual engineering effort.
- Deployed AI automation during the testing cycle to compare output between source and migrated reports, improving accuracy and reducing manual validation time.
OUTCOMES
Measurable Gains Across
Delivery Phase
30%
Reduction
SAP Analysis Cycle Time
AI-generated mappings from extractor code cut the most time-intensive phase significantly.
30%
20 to 30% Increase
Testing Accuracy and Speed
Automated AI comparison between source and migrated report outputs raised quality while reducing time.
35%
30 to 35% Increase
Overall Project Efficiency
Gains compounded across analysis, development, and testing phases through consistent AI-led delivery.