Save Money, Increase Accuracy
Data Lake / Analytics Customer Example
A Major Corporation Faced A Complex Data
integration challenge: consolidating 8 million customer records scattered across seven distinct data sources into a unified data lake for advanced analytics. Their primary goal was to ensure data integrity by eliminating duplicates and creating a single, accurate view of each customer.To tackle this intricate task, the corporation partnered with EntityWise, leveraging our cutting-edge machine learning technology. Our solution was tasked with:
Cross-matching all 8 million records across the seven data sources
Identifying and resolving duplicate entries
Generating a comprehensive result set of all matches
EntityWise's advanced ML algorithms efficiently processed this massive dataset, producing a refined, deduplicated customer database. This optimized dataset was then seamlessly integrated into the corporation's data lake, enabling:
Enhanced data quality and consistency
Improved accuracy in customer analytics and reporting
More informed, data-driven decision-making across the organization
By choosing EntityWise, the corporation not only streamlined their data consolidation process but also laid a solid foundation for more precise and actionable business insights.
The organization aimed to generate a dataset of unique customer records for their data lake, ensuring subsequent analytics would be based on deduplicated information, thus preventing inaccuracies in reporting and analysis.
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8 Million
Customer Records
Large Volume Challenge
They provided all seven sources containing 8 million records, and within a few weeks, EntityWise delivered a consolidated view of unique customer data for integration into their data lake.
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Ease of Use
Convenience
All alternatives required a minimum of six months and incurred substantial costs, significantly impacting their team. In contrast, EntityWise delivered results in just weeks, not only saving costs but also requiring only about six hours of their team's time.
