After you've decided what metadata you want to use to organize and categorize your digital assets, you'll need to get metadata populated within your DAM system. There are several built-in tools, that can help you automate tasks specific to extracting or converting existing metadata from assets and other systems. Metadata automation tools help you populate your DAM system faster, to quickly increase asset findability, improve brand consistency, and reduce risks by enforcing rights management and naming conventions.
If you are reading this, you may already have an idea of what metadata is, or you may be looking for an easy-to-understand explanation. For those that don’t, a simple explanation for metadata is the set of attributes that are used to describe assets (photos, graphics, PDFs, videos etc). Good metadata is critical for digital asset management to ensure that your assets are categorized and organized to be easily found. On the other side of the spectrum, bad metadata creates clutter and confusion, making finding assets difficult, and often deters users from adopting a DAM system.
We’ve been talking a lot about the dollars and ‘sense’ of digital asset management lately. With the amount of data consumers are creating and businesses are amassing - how could we not? We've put together the following list to help evaluate if you're falling prey to the cost pitfalls of marketing in a big data world: