Read how GSPANN helped a US-based Fortune 500 departmental store chain, with over $20B annual sales and more than 1000 stores, in implementing big data tools and Google Cloud Platform (GCP). It enabled the client in transforming data and finding key business insights to run the targeted campaigns.   Key highlights: Eliminated duplicate data from the database by analyzing 92 billion table entries with 160 fields and receiving up to 100 campaigns daily as incremental data. Removed 10% data of the expired campaigns for better data management. The process of data correction resulted in 90% more accurate data for future campaigns as compared to the previous year. The client can now execute targeted campaigns by sending relevant promotional coupons to improve sales and build better marketing strategies for the future. Automated the process of report sharing, where the latest data is shared daily with all stakeholders via Airflow using CRON jobs that are visualized through Tableau. This case study can help you understand the importance of data transformations to analyze and drive key insights from a huge database. The true potential of a historical database that is incremented daily can only be unleashed when accurate data corrections and manipulations are performed.