Why ElasticSearch is improving UX in digital asset management

While years ago people may have thought of digital asset management software as a place to store brand assets, nowadays the capabilities and usability is far greater. With DAM systems being accessed by internal departments and agencies globally, they must have an intuitive user experience from start to finish.

What is so important about UX in digital asset management?

Many UX articles are often focused on the design and interface of an application or website, however all aspects of the user journey must be considered within a DAM system. Without training or demonstrations, users should be able to locate assets and carry out their intended action. With an easy to use system, anyone visiting the site will have a good experience, therefore reflecting on the brand in a more positive light. Brand guidelines and other materials are likely to get utilised far more if they are located quickly, which in turn maximises consistency and promotes core values.

What is ElasticSearch within a DAM system?

Amongst thousands of brand assets, users must be able to efficiently carry out a search to filter out any unhelpful results. With a standard search functionality, users may be limited to locating files based on exact names or keywords.

ElasticSearch provides a real-time, analytical approach to discovering assets. Major companies such as Netflix, eBay and Microsoft use ElasticSearch to provide world class content discovery. Using industry standard concepts as described below users are able to retrieve relevance ordered results which enhances the search experience within a DAM system.

Term frequency

Results are based on how many times the search term appears in the asset fields. If the term is only mentioned once in the keyword it will not rank as highly as an asset that has the term in keywords, usage, description and asset name.

Inverse document frequency

The entire index of terms are examined to identify how many times it appears. If the term is found more often than not, it will be less relevant and have a lower weight than more uncommon terms.

Field-length norm

The longer an asset field is, for example description, the less likely that all the words will be relevant. If a search term is found within a smaller field then it will be considered as more relevant and appear higher on the results page.