Case Studies

The Challenge Delayed innovation cycles: Difficulty in accessing and understanding data for ad-hoc analysis and prototyping. Data trust issues: Each team was responsible for their own data quality across pipelines, leading to inconsistencies. Lack of self-service: High dependency on other teams to access and use data. The Solution We designed a flexible Data Mesh framework,… Read More

The Challenge Increased Data Complexity: A large influx of data from expanded digital channels complicated data management. Ineffective Quality Checks: Traditional methods of data quality assurance were inadequate for addressing challenges such as data completeness, duplicate values, and file corruption. Manual Processes: The reliance on manual data ingestion and monitoring processes introduced delays and heightened… Read More

The Challenge Escalating Technology Costs: The company faced high expenses associated with SAP HANA licenses, significantly impacting the overall budget and financial efficiency. Maintenance-Related Inefficiencies: Frequent maintenance activities diverted resources and attention away from core business operations, hampering productivity. Data Migration Complexities: Ensuring data consistency and quality during the migration process posed a significant challenge,… Read More

The Challenge The client needed an automated system to extract English and Japanese publications across diverse databases using the same search strategies applied in English queries to identify KOLs without expert intervention. We leveraged machine learning and natural language processing to build a unified search system, optimizing cross-language database searches. The solution seamlessly integrated with… Read More

The Challenge A Fortune 500 consumer electronics company faced challenges with its in-warranty repairs forecast process, leading to frequent fluctuations and inaccuracies. The existing heuristic-driven approach required extensive manual intervention, leading to over-predictions and impacting cash flow adversely. The Mu Sigma Approach Our approach aimed to enhance forecast accuracy by accounting for variations, leading to… Read More

The Problem and Need for a New Approach Our client, the world’s most diversified casino-entertainment provider, had previously relied heavily on a methodology that predicted their customer’s average daily worth (ADW) based only on previous customer trip spends. This resulted in the inefficient allocation of their annual marketing budget, leading to reduced returns on their… Read More