Case Study: Fortune 500 Global Manufacturing Company achieves rapid, granular analytics and millions in savings with Antuit

Internal Analytics Data Lake for a Fortune 500 Global Manufacturer

Fortune 500 Global Manufacturing Company faced limited, manually produced summary reports with no ability to drill into product, channel or regional performance. Product profitability required an eight-week manual process, there was no capability to analyze high‑margin product and inventory movements, and extended payment‑term approvals were a tedious 10‑step workflow. Antuit was engaged to deliver an internal analytics data lake and advanced analytics (including NLP) to give the company granular, harmonized visibility.

Antuit implemented a scalable Hadoop‑based data lake deployed in Microsoft Azure that ingests granular data from Oracle, SAP HANA and SQL Server, harmonizes sales‑rep, ERP and CRM datasets, and enriches manual entries with NLP. The solution reduced the extended‑terms process from 10 to 3 steps (ingest, harmonize, publish), cut product‑profitability reporting from eight weeks to roughly two days with dashboards updated within an hour, enabled inventory and margin optimization, and is projected to save $7–12M in year one while increasing gross revenue by roughly $500M.