Problem Statement
MathCo partnered with the client to deliver high-performance, granular analytics at scale:
- Leveraged Snowflake’s compute capabilities to efficiently process and retrieve large datasets across category, sub-category, channel, and SKU levels without performance degradation.
- Utilized NucliOs, MathCo’s in-house platform, to dynamically generate SQL queries, ensuring only aggregated and relevant data was pulled from Snowflake to optimize efficiency.
- Developed interactive reports with a wide range of selectable metrics and dimensions, including seamless Excel export functionality for deeper analysis and reporting.
Impact
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3× increase in data granularity, delivering SKU-level insights across 30K+ unique SKUs for timely, data-driven performance reporting.
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Reporting time reduced from 8–10 hours to minutes, significantly accelerating weekly and monthly analytics and decision-making.
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Unified Single Source of Truth (SSOT) by harmonizing Sellout, Brand Health Tracker, and Household Panel data through standardized time periods and category-brand mapping.
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Advanced, flexible analytics enabling ad-hoc querying and deep SKU-level analysis across packaging, product, flavor, price, pack, channel, occasion, and discount curve modeling.
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360° brand and consumer performance view via a scorecard framework tracking 15+ brand growth KPIs, combining consumer perception, household metrics, and country-level comparisons with intuitive visualizations.