DAM platforms are often integrated with other systems and tools now, enabling assets to flow automatically, information to be exchanged seamlessly, and a broader vision for asset management in general. These integrations have typically been driven by a functional need (for the DAM users themselves or for other aspects of the content lifecycle in other areas). What’s emerging, though, is that DAM can contribute a great deal to the overall data picture of an organization:
- 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 and 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.
This session will explore what data and integrations are meaningful and feasible today, and share their experiences of making it real.
