Company

German Agriculture Equipment Company

Industry

Agriculture

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Case Study

Jan, a Data Migration Project Lead of a German agriculture equipment company, shares how WinPure improved the company’s data management process!

The Challenge

Jan Möllenbrink Project Lead, Data MigrationManual Data Cleaning Bottleneck

As a data migration lead at his organization, Jan was keen to improve their existing data workflow. Most of it was a repetitive process of cleaning datasets. For example, every time the master data set was updated, Jan and his team had to painstakingly redo the cleansing process from scratch. They would also have to manually match and merge records to ensure accuracy. This manual and repetitive process using Excel was costing the company invaluable time and resources, causing frustrations and inefficiencies that could have been avoided.

Jan and his team were on the hunt for solutions that could allow them to clean and find duplicates without requiring the manual work involved. Jan wanted to identify duplicates more accurately and ensure optimal data accuracy. With the company’s strict data privacy policies, they needed an on-premises solution that wouldn’t require them to send sensitive data externally.

Jan’s challenges demanded the need for a robust, on-premises solution that could streamline the data cleaning process, integrate with multiple databases at a time, and enable an accurate data deduplication process, while allowing the company to maintain their data management workflow internally. This is where WinPure proved to be the ideal solution for Jan.

The Solution

Enhancing Efficiency with AI-Powered Entity Resolution

When Jan discovered WinPure, it quickly became the game-changer his company needed. Powered with both fuzzy matching and AI data matching capabilities, the tool offered Jan’s team a faster, more efficient way to resolve data quality issues. In fact, the AI module was Jan’s favorite feature of WinPure! The solution took care of Jan’s entire data quality journey – from integrating with multiple datasets, to cleaning, deduplication of records, and final exports.

WinPure entity resolution

Used in tandem, the AI data matching and fuzzy matching offered a holistic approach to identifying and resolving duplicates. This is a key feature that Jan admits is not found in any of the solutions they’ve used before. Arguably, WinPure is the only platform that offers fuzzy and AI-powered data-matching to perform entity resolution tasks at scale.

With the entity resolution module, Jan’s team was able to identify hidden duplicates and get an overview about the data within a couple of minutes. This would generally take the team hours in Excel, and even then they had to deal with a lot of inconsistencies and inaccuracies.  With WinPure, Jan’s team was able to improve data accuracy and transform their data management process from a time-consuming and error-prone task into an efficient, automated, and highly accurate operation. This solution not only saved time and effort but also provided the company with reliable data to drive better business decisions.

Results & Benefits

  • Saved hours of effort: With an automated solution, Jan’s team no longer had to rely on manually cleaning and matching data using Excel. 
  • Enhanced data accuracy: Entity AI and fuzzy matching capabilities have greatly improved the reliability of datasets, aiding in better decision-making.
  • Improved data integration: Seamless connection to multiple databases provides a comprehensive view of data, enhancing analytical capabilities.
  • On-Premise security and scalability: Ensures data privacy and adapts to varying dataset sizes, maintaining flexibility and security.

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The Entity AI matching and fuzzy matching are features which I didn’t find anywhere else. There are some solutions that have this functionality but WinPure is on prem and I don´t have to send any data externally.

Jan

Project Lead, Data Migration

Industry Clients

international cotton association
prestige
aicpa
miller

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  • Advanced Matching Algorithms
  • Customizable Matching Rules
  • Data Parsing and Standardization
  • Data Cleansing and Deduplication
  • Address Verification and Standardization
  • Automated Workflows

…. and much more!

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