Versium Releases Open Source Development Tools for High Performance Data Processing

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Studies show that 44% of businesses estimate a loss in revenue as a result of poor quality CRM data. Versium, a leading data technology company, released a set of open source development tools to simplify high performance data processing for improved marketing outcomes. The first release in a new initiative to make data more accessible, Versium’s open source tools help developers and data scientists understand and manipulate files to clean up dirty data and optimize marketing campaigns.
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“As a company, we are always looking for ways to help customers gain greater value from their own data to maximize marketing impact,” said Kevin Marcus, CTO, Versium. “We know developers and data analysts can spend their entire day doing data prep work to build models and predict outcomes. We’re releasing this first set of open source tools to the community because they’ve greatly streamlined our own data processing internally, and we know they can help businesses understand, fix and leverage their own audience data for marketing.”
With better data processing comes a better understanding of current and potential customers, as well as accurate contact points for more effective reach across all market channels. Versium’s open source tools include the following capabilities to help developers process files:
- Data inspection to understand file layouts
- Parallel process single files into multiple pieces for faster processing, which enables parallelization of data processing pipelines on large files
- Statistical file counter to quickly estimate the number of records in a file
- Deep file inspection tool to generate report, including providing fill rate and information on field contents
- Quickly enable association of the contents of two files, based on a key, without use of SQL joins
- Generate statistically significant random sample of a file
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