Case Study
Situation
Solutions Applied:
- AutoClassification
- Metadata Tagging
- Document Analytics & Rules
- AutoRedaction
- Recommended File Location
Products Used:
- PowerHouse
- PowerHouse Quality Control User Interface (QCUI)
- BlackCat
Challenge
Polling a large content population, sometimes across multiple departments and languages, for very specific and tailored search terms and metadata, is an arduous task. Requests were frequent, growing, and overwhelming. Valora was tasked with running a solution alongside the current team to see if AutoClassification would out-perform, match, or lag the manual efforts.
Solution
Working in tandem with the DSAR response team, Valora configured PowerHouse to mimic the team’s current, labor-intensive process – pulling specific metadata from multiple supplied sources of content. Next we applied a set of disposition rules to determine a) which files were responsive to the DSAR, b) which files contained Personal Data, c) which files required redaction of sensitive, personal, or non-applicable content, d) which files would be produced (generally in their post-redaction format) to the Data Subject, and e) the creation of the final production set of materials for distribution.
After initial processing inside the PowerHouse platform, results were then pushed to the PowerHouse Quality Control User Interface, QCUI, for file-by-file data verification by the DSAR response team. Valora’s aggregated content dashboard technology, BlackCat, was also used to provide a higher level overview of the tagged content across populations, DSARs and time.
Results
Valora built a fully automated system to support the DSAR team in their searches, analysis, redaction and production efforts, making them quicker, more accurate, and more streamlined, which meant less backlog and the ability to keep up with increasing demand. The result was fully tagged DSAR content sorted into their subsequent and relevant buckets for production, with tagging accuracy equivalent to, or better than the manual efforts. Overall, a substantial win!