The perception of a digital archive is at its simplest form based on folder names and media names, but with the introduction of MAM systems, we realized we could tag and manage our media with much, much more granularity.
Media archives tends to change and grow rapidly over time, and so do the market.
And when the market changes, we see changes in existing business models.
Most newspapers, for example has already extended their business model to include video and audio. Being able to find content related to an event and a person or a subject at very short notice become an example on a new technical requirement to feed an expanding the existing business model where more and faster published a media becomes a key competitive factor.
A content provider can provide a new channel automatically by accessing extensive media archive metadata information describing program content in time spans – matching this information with viewer behavior.
We are, of course, also familiar with various already existing recommendation engines on what series to watch or what music to listen to from various popular VOD providers and audio streaming providers.
It's easy to see how in-depth knowledge of your media archive becomes more and more critical for both your business model and your ROI.