For most digital asset management projects success is determined by this simple question:
Can your users find what they need?
If the search experience is poor and users are not finding results in the first few attempts, no matter how great and complex the solution is, there will be issues with user adoption and implementation success will be jeopardized.
Keep in mind that search goals are not always as simple as finding the latest logo or a specific brochure by name. Search results are meant to solve unique inquiries related to the user’s roles and make their workflow and processes more efficient.
When evaluating the search capabilities of different DAM platforms, it’s important to prepare several potential queries that correlate with the needs of your team.
Your users need to be able to do more than just search for a single word and be able to intelligently narrow down their results in order to find what they are looking for within a reasonable timeframe.
Some things they may want to consider in their search:
- How old is the asset – less than 7 days? The last month? Last Year?
- Who uploaded it?
- Is it flagged as final, approved or has another data point?
- Does the image have people in it?
- What’s the dominant colour?
- Do you want to look in a specific area of the library?
By having the ability to include these types of search criteria, your users are able to improve their search and find what they need fast.
Let’s look at a few sample scenarios:
1. A creative agency account manager needs to monitor and track the assets created for each of their clients, in which this information will be used for billing and reporting. Here are examples of what they would want to track: How many assets were uploaded for a specific client in a given month? How many videos and high-resolution photos were created this month against a set quota.
IMAGE TYPE -> TIFF
VIDEO TYPE -> MP4
FILE SIZE: DRAG TO THE LARGE SIDE OF THE SLIDER
STATUS, EVENT, AND DATES: UPLOADED= LAST 30 DAYS
2. A video production agency project manager frequently needs to find all “B-roll quality” video assets for a specific customer. “B-roll quality” is set up as a custom tag that can be used to filter results.
FILE TYPE: VIDEOS
CUSTOME ATTRIBUTES: BROLL = TRUE
3. A brand who works with multiple agencies is looking for an asset. Their creative designer does not remember the specifics of that asset but knows that it was uploaded by a specific agency or its photographer and would have an approved status.
STATUS, EVENT AND DATES = APPROVED
ACTION AND USER: UPLOADED BY = ANDREW.SCOTT@PHOTOAGENCY.COM
4. A furniture manufacturer frequently has to search for images that do not contain people. Searching manually through almost a million of assets is not an option. Yet it’s an attribute that’s hard to capture manually. Leveraging cognitive services powered search can help scan through those assets in a fraction of a second.
-> BRAND: AMERICAN SIGNATURE
-> MATERIAL: LEATHER, FAUX
5. A home décor retailer runs frequent campaigns that are based on colour themes. They need to easily find images with predominant colours in a specific tone. With Advanced Search, cognitive services would only show images that match the specific colour tone.
-> CATEGORY: COUCHES/SOFAS
-> CATEGORY: TABLE, STORAGE
Just like Google’s original mission was “to organize the world’s information and make it universally accessible and useful", at its simplest form, the purpose of a DAM initiative is to organize company’s digital assets and related information and make them accessible and useful.
When done properly, a DAM initiative can provide unrestricted access to resources and empower employees to achieve more.
Learn more about MediaValet's Advanced Search and Cognitive Services capabilities!