A subscription-based meat delivery services company sought to optimize its data processes that integrated multiple data sources and power analytics and AI modeling to extract customer behavioral patterns and help reduce customer churn.
Solution
Nuvento proposed a solution using the Databricks platform for data integration, warehousing, and analytics with Azure data lake for storage.
Outcomes
Enabled faster data-driven
decision-making for customer retention by accurate churn prediction.
7x better performance
from shifting to Databricks due to auto-scaling, parallel processing, caching, and memory optimization, faster development, and deployment of data-driven solutions.
Ensured the quality of data accessed
by various business users across the organization.
31 % reduction in manual efforts
required to fix data errors.
20 % reduction in overall
cloud computing costs.
Contact us today to learn more about building data-based decision-making systems on the cloud.
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