So you’ve researched all the digital asset management systems, you’ve found the tool that is just right for you and now you’re ready to get started and begin loading thousands of images. But WAIT! How will you know that your audience will be able to find what they are looking for? How will you know that you have all of the pertinent meta information associated to the media files? How are we assured that others will tag images with the correct data? After all, if thousands of images are loaded into a system and users can’t easily find what they are looking for then you’re not much better off than you were before you even had a digital asset management system. So how do you make your DAM (Digital Asset Management) Meta Data work for your organization?
For starters, consider your audience. Who is going to be looking for mediaand searching for Digital Asset Management Solutions? Who uses your Digital Asset Management Software?
1) Retailers that need your product photos?
2) Sales people looking for presentation photos?
3) Designers looking for images to use in printed ads?
If you start by putting yourself in the shoes of your intended audience(s) you can think through how users will approach your system and what types of criteria will be useful for them to filter images. This is the first step in ensuring that your DAM Meta Data will be useful to your audience.
Once you have defined the audience and understand HOW they will look for the images, look around for all possible sources that can be integrated together to build that meta data. Common Places to Find Data that could be Meta Data:
Creating meta-data out of your existing files automatically and writing it to your images can save days or weeks of work. And the benefit to having your images under Digital Asset Management well tagged with Meta Data is that it will be much easier to search through the images in the future.
Unfortunately, many photo sharing web sites and digital asset management systems approach meta data from the author’s perspective. The photographer can see what shutter speed, flash settings and other EXIF data pertaining to the photos. Honeycomb Archive can of course extract this information from your photos if desired, but does your audience really need this information? More likely they need a robust search mechanism that allows them to filter on keywords that are pertinent to how they will use the photos. If they are looking for photos of people they’ll want to search on criteria that filters people — gender, age, activity, etc. If they are searching for product photos they’ll want to search on item number, style, color, still shot or product in use. Honeycomb Archive makes sense of the meta data from a real world perspective and is completely configurable to tailor search filters for your audience. These tailored meta data tags are then easily assigned to new media with the option to assign meta data to multiple images at once or individually. We also provide the data guru services to combine other sources that may exist in your organization to reduce or eliminate data management time.