ValiDiffer™ is a stand-alone automatic file validation service to prevent broken and problematic data from entering time-consuming ETL digital workflows.
ValiDiffer natively integrates with Box, accepts a wide variety of structured file formats, and is capable of analyzing data files of nearly any size (TB+).
A yearlong study of live enterprise data flows showed a single client, with bi-weekly file transfers, can easily save $100,000+ in technical support costs by utilizing ValiDiffer over a 12 month period.
ValiDiffer™ is set to officially launch to production Q3, 2020.
Are you tired of receiving what should be repeated, identically formatted data files, which instead arrive with changed headers, missing columns, alternated spacing, shuffled values, different formatting, and more?
All too often, data files get transferred with incorrectly formatted data, which requires both sending and receiving companies to either revert the process, demand a new file, re-upload or download a secondary file, or manually re-edit the file – all costing a significant amount of time and money. ValiDiffer's core competence is providing metadata trending analytics – prior to the point of transfer – to validate your scheduled ETL digital workflow(s). Validation occurs through automatic A/B testing, metadata baseline and trending testing, and optional user defined set criteria and thresholds.
ValiDiffer's summarized analyses are instantly reported back to the uploading party, pointing out the precise problems with the file prior to transferring to the end customer. By notifying the uploading party of defective files and identifying issues prior to entering transfer and load phases, sending and receiving parties can be assured of more consistently correct file delivery, virtually eliminating the costly 'redo' cycle.
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