Data Warehousing and Customer Analytics2020-10-14T11:06:30+00:00

250TB+ data processed for faster customer analytics

Processed huge volumes of customer and POS data, generating insights within seconds for their users through scalable and highly effective data management

Business Challenges

The current process to generate reports was extremely manual effort-intensive and took a few hours to complete. As a result, data was updated only once in 30-60 days.

Sigmoid’s Solution

Architected Hadoop based solution using Apache Spark for ad-hoc analysis on customer data.

Business Impact

Processed over 250TB of customer and POS data to enable granular data access for enhanced customer analytics. Our approach helped replace the manual effort-intensive process for generating reports resulting in 60% faster reporting and more than 10,000 man hours saved.

For detailed understanding and solution, please download the case study here

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