What companies expect from DAM
There are a lot of aspects making up a good DAM. Today we highlight what companies expect from a really useful DAM and what has to be done to meet this.
A recap of a Canto webinar at cmswire shows why companies implemented a DAM:
- 73% of respondents used DAM to ensure they reused their digital content
- 70% used it to improve workplace efficiency
- 67% found that DAM solutions improved their search results
The question is how to best meet those expectations? Lots of DAM vendors out there apparently try to meet them with their solutions. They attach importance to infrastructure and interoperability for better reusage of assets and higher workflow efficiency. Or they emphasize taxonomy and metadata relevancy for better asset finding. However, we are convinced that the existing measures are still a long way from being exploited. Here are some thoughts.
Better reusage of assets
A DAM is successful and working properly at all when enabling easy asset usage and reusage, because a DAM is no dump but a living system with input and output of assets. We believe the key for better asset reusage is keeping the catalogue clean and ready to use.
On the one hand this means proper and consistent metadata for better findability of assets to work with. On the other hand appropriate search facilities must be provided to find the requested content even if metadata ain't that good. Avoiding duplicate content is a further precondition for more efficient asset reusage.
Improvement of workflow efficiency
To enable an efficient workflow there are two crucial operating processes the DAM can support the users:
- Cataloguing / indexing new assets
- Searching for / working with existing assets
Adding new assets to the DAM means preparing the assets (specifically their metadata) for later work. Support tools like metadata suggestions and duplicate warnings improve the speed of cataloguing and can increase the accuracy for later searches. We see great potential for improvement here.
Improvement of search results
In most cases the DAM supports their users by providing search filters like categories, date ranges and so on. But treating text and visual assets (images, videos) the same causes adverse effects. Since current search options focus on or requires text, finding visual assets needs a higher cataloguing effort in the first place. Search options built for visual assets like visual similarity searches, image suggestions, color filters can therefore reduce the cataloguing costs of visual assets while accelerating the search quality.