The client’s marketing and commercial teams relied on manual processing of POS and distributor data received from multiple third-party sources.
Highly inconsistent data formats across multiple files and sources
Over 20 large files (10M+ rows each) requiring cleaning, transformation, and consolidation
Tight timeline to produce analytics and build 20+ dashboards
Approach
We designed and implemented automated data pipelines on Microsoft Azure to process, clean, and consolidate large datasets for analytics and dashboarding.
Results
The automated analytics solution fundamentally transformed how data was accessed and used across the organization.
Decision cycles reduced from 3–6 weeks to just 2 days
Faster assortment and pricing decisions driven by near-real-time insights
"By automating our analytics pipeline, we transformed decision timelines across marketing and sales. Speed and data confidence are no longer bottlenecks."
James Peterson
Senior Vice President, Commercial Operations
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