Control Tower for Strategic Decision-Making
MathCo built an executive dashboard for a biopharmaceutical major to maximize adoption and drive data-powered decision-making at scale.
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Test and Learn Tool
MathCo helped a global beverage conglomerate reduce experiment design time by 50% using a test and learn tool.
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ESAT Analysis Tool
We helped a leading beverage manufacturer reduce employee attrition by 5% with a custom ESAT Analysis tool.
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Commercial Analytics Transformation Roadmap
MathCo created a multi-year commercial digital transformation roadmap for a leading connectivity technology manufacturer.
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Custom Cross-Sell Recommendation Engine
Insurance companies require data-driven insights that can be leveraged to understand their customers and identify relevant products for cross-selling. Analyzing this restricted data pertaining to a vast clientele becomes a tedious task.
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Product Intelligence Application
Analytics-powered product performance reporting holds immense importance for retailers, offering insights into consumer behavior, market trends, and the success of specific products or collections.
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Optimizing an End-to-End Analytics Platform
An end-to-end data platform helps retailers derive accurate and quick insights for optimizing personalization, operations, merchandising activities, and more. However, they require data engineering and MLOps experts to develop a robust solution that can make this platform time- and cost-effective.
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Standardizing Machine Learning Operations and Development
The absence of a unified approach for data science and machine learning projects, the presence of repetitive steps within each of them, and the lack of reproducibility have negatively impacted their timelines, causing many of them to fail.
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Retrieval Augmented Generation (RAG) Performance Enhancement
Market research plays a pivotal role in the growth strategy of pharmaceutical companies. However, as the volume of data generated continues to surge, traditional manual market research methods are becoming increasingly time-consuming and costly.
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