Situation
• A client with 20+ billion data points to analyze asked for a unified Enterprise Data Lake, using AI, ML and RPA to automatically eliminate errors at the point of data entry.
• The Data Lake improved data governance, enhanced functionality and systematically measured Key Performance Indicators, which increased departmental productivity and results.
Approach
• We established a clean data lake with strong governance, high data security, and rigorous data hygiene to keep information consistently clean.
• Our cloud-based system de-duped records for 100,000+ items daily across a 100k x 100k matrix (10 billion cells). This simultaneously delivered clean master data management and calculated key performance indicators.
Results
The client reduced costs by 12.4% annually and increased sales by 19.6% per year. This program simultaneously improved top line sales and bottom line results for the company.
Technical Resources
DevSecOps, MLOps, AI/ML, RPA, Agile process, AWS using a relational database engine, SQL stored procedures, SAP, Oracle, SafeRock’s NetVantage solution, user-centered design, batch and BI reporting.
Project Details
Client: 20+ billion data point client
Focus: Data Lake Analysis