Company Background

Orthopedic surgeon Dr. James Howe founded AgNovos Healthcare, a privately held medical device company. The company focuses on bone health, a crucial quality-of-life issue for an aging population.

Challenge

A small company held an extremely large number of files. Manual processes could not identify or remove the duplicates.

AgNovos needed a solution that found duplicates quickly and accurately, removed them safely, and built a data management structure that could handle future growth.

Project

AgNovos stored files across file shares, SharePoint, and individual Box accounts with no structured system. Nobody could see into or across the data. The team suspected heavy duplication but had no way to measure it.

AgNovos worked with Shinydocs to clean up its data. Shinydocs indexed 8.5TB across 45 individual Box accounts and 20 file shares, revealing over 3,800,000 stored files. The evaluation confirmed that 65% of the data was duplicates.

A project to find duplicates quickly expanded. Shinydocs identified 85,500 additional trivial IT system files representing 48.35GB. AgNovos trusted the results, and its IT and business teams deleted the ROT files in place.

Business Critical Outcomes

Shinydocs identified duplicate, obsolete, and trivial IT system files that posed data integrity and security risks. That cleared the way for a new data file architecture plan.

Machine speed delivered results in a fraction of the time and cost of a manual project.

AgNovos defensibly deleted the redundant, obsolete, and trivial files. Staff find what they need faster, and backup storage costs dropped. This data remediation and file cleanup approach supports private AI data classification across healthcare, life sciences, and regulated corporations.