Interviews form an important part of any investigative process. They become valuable digital assets that require care and attention in the form of appropriate management, access control, transcription, storage and retrieval.
One agency was looking to better store and manage interview data securely via a new data platform, with machine-learning based automated transcription.
The existing system required administrative personnel to transcribe interviews manually. With a high degree of variation in audio quality and an average interview length of one hour, the process was time consuming and expensive. A backlog of transcriptions would quickly build up, as an hour interview could take five to 10 hours to transcribe, depending on the quality of the recording.
Search and retrieval times for interviews were also an issue due to the legacy storage practices, using physical media and warehouses.
Kablamo had the cloud digital asset management platform that could solve these issues. Throughout this project, the cloud platform proved it could serve as a critical component in a future which unlocks the true potential of interview data.