DAM platforms are often integrated with other systems and tools, enabling assets to flow automatically, information to be exchanged seamlessly, and a broader vision of asset management to be obtained in general. These integrations have typically been driven by a functional need of the DAM users themselves or of one or other requirements of the content lifecycle. What’s emerging, though, is that DAM alone can contribute a great deal to understanding an organization’s data.
- Asset metadata carries a lot of information about your products and services, and how they are marketed and sold
- Asset usage (search, download, etc.) carries information about focus, trends, interests & priorities
- The information an asset accumulates through its lifecycle - who is doing what, when, how often, in which departments, etc. - reveals much about the business and how it operates
What used to be an academic discussion about analytics and AI is becoming real and feasible today. It’s not even necessarily about building a big, complex data ecosystem - just smartly leveraging the data you have.
Our panel will explore what data and integrations are meaningful and feasible today and share their experiences of making it real.
