Is It Really a DAM Problem? 7 Reasons Your DAM Is Not Working

You invested in a digital asset management (DAM) system to make finding, managing and sharing content easier.

But a year or two later, people are still complaining.

They can't find the images they need. The marketing team still gets endless requests for files. Staff keep saving content to SharePoint or their desktops. And the DAM administrator spends more time fixing problems than improving the system.

Sound familiar?

When a DAM doesn't deliver the expected results, it's easy to blame the software. Perhaps it's too complicated, lacks the right features or simply isn't the right platform for your organisation.

Sometimes that's true.

But not every DAM problem is a software problem.

The issue could be how the system was set up, how content is organised, the processes surrounding it or how people have been trained to use it.

Before investing in a replacement, it's worth understanding what's actually going wrong.

Here are seven common reasons DAM systems underperform, and what you can do about them.

1. People can't find what they're looking for

The complaint: "We've got thousands of images in the DAM, but nobody can find anything."

Search is one of the main reasons organisations invest in DAM. So when people still struggle to find content, it's understandably frustrating.

But poor search results don't automatically mean the search technology is inadequate.

Often, the issue is the way assets are organised and described.

For example, your marketing team might search for "staff photos", while the assets are categorised under "corporate portraits". A communications officer might look for "community events", but the images were uploaded using project codes.

The content exists. The system just doesn't recognise how people naturally look for it.

What to investigate:

• Does your metadata reflect the language people actually use?
• Are naming conventions and tags consistent?
• Are users relying on complex folder structures?
• Are important search filters missing or difficult to use?
• Could existing AI search capabilities help?

What might help: Review your metadata and taxonomy, test common searches with real users and identify where results fall short.

You may not need a new DAM. You may need a better way to describe and organise your content.

It might help for you read our How to Design a DAM Metadata Model article.

2. Nobody wants to use the DAM

The complaint: "We invested in this system, but everyone still uses shared drives."

Low user adoption is one of the clearest signs that something isn't working.

Perhaps staff find the DAM complicated. Maybe uploading content takes too many steps. Or perhaps they simply don't understand what the system offers beyond storing files.

Sometimes the DAM was introduced with a few training sessions, and everyone was expected to change their habits overnight.

But introducing new technology doesn't automatically change how people work.

If the familiar way of doing something feels easier, people will often stick with it.

What to investigate:

• Were different user groups involved in planning the system?
• Do staff understand how the DAM helps them in their daily work?
• Is the upload or download process unnecessarily complicated?
• Do people have the permissions they need?
• Was training relevant to their actual responsibilities?
  
  

What might help: Start by speaking with the people who aren't using the system.

Ask them to demonstrate a typical task. Watch where they get stuck.

You might discover that a simpler workflow, a few configuration changes or role-specific training sessions could remove many of the barriers.

The objective isn't to force people to use the DAM. It's to make the DAM genuinely useful.

3. Your DAM has become a dumping ground

The complaint: "Everything gets uploaded, but nobody knows what's in there anymore."

A DAM is designed to provide a central place for digital assets.

But without clear rules about what belongs in the library, it can quickly become a collection of everything.

Duplicate images, outdated campaign materials, unfinished designs, old presentations and files with meaningless names all compete for attention.

As the library grows, the content people actually need becomes harder to find.

The underlying problem is often a lack of content governance.

Nobody has clearly defined what should be uploaded, who approves it or when it should be archived.

What to investigate:

• Are there agreed standards for uploading assets?
• Who decides which content belongs in the DAM?
• Are duplicate and outdated assets reviewed?
• Is there a clear process for archiving content?
• Are uploaders responsible for completing essential metadata?
  
  

What might help: Establish practical rules for managing the asset lifecycle, from upload through to review and archiving.

You don't necessarily need a major clean-up project to get started. Improving the rules for new content can help prevent the problem from getting worse while you address the existing library.

4. Metadata is inconsistent or too complicated

The complaint: "Nobody fills in the metadata properly."

Metadata makes digital assets searchable, understandable and easier to manage.

But designing a metadata structure is a balancing act.

Too little metadata, and assets become difficult to find.

Too much, and uploading a single image can feel like completing a lengthy form.

It's not unusual for organisations to build elaborate metadata structures during implementation, only to discover that staff don't understand the fields or don't have the information required to complete them.

The result is inconsistent tagging, missing information and frustrated users.

What to investigate:

• Which metadata fields are essential?
• Are there unnecessary mandatory fields?
• Do staff understand what each field means?
• Are different departments using different terminology?
• Can some metadata be populated automatically?
  
  

What might help: Simplify the metadata model around real business needs.

Use controlled vocabularies where consistency matters, remove fields that don't serve a clear purpose and consider automation where appropriate.

A good metadata structure should help people manage content, not create additional administrative work.

5. Nobody really owns the DAM

The complaint: "We're not sure who's responsible for managing it."

Your DAM was successfully implemented. Staff received training, files were migrated and the system went live.

Then the implementation project ended.

But what happened next?

In some organisations, responsibility for the DAM falls informally to whoever has the most technical knowledge or happens to use it most often.

They become the person everyone contacts when something goes wrong.

Meanwhile, decisions about metadata, permissions, content quality and new requirements are made inconsistently, or not at all.

A DAM needs ongoing ownership.

What to investigate:

• Is there a designated DAM owner or administrator?
• Who makes decisions about changes to the system?
• Who maintains metadata and governance standards?
• Is there a process for reviewing user feedback?
• Does the DAM have an ongoing improvement plan?
  
  

What might help: Define clear responsibilities for both day-to-day administration and longer-term management.

This doesn't necessarily mean employing a full-time DAM manager. Smaller organisations may share responsibilities across several roles.

What matters is that ownership is clear and that somebody is accountable for keeping the system useful. Our article on DAM Governance explains the metadata and governance standards.

6. Your workflows don't match how people actually work

The complaint: "The DAM just adds extra steps to everything."

A DAM can be configured with sophisticated approval processes, permissions and automated workflows.

But more functionality doesn't always mean greater efficiency.

For example, a simple image request might require several approvals, even when the content is already cleared for use.

Or users might have to download files from the DAM, manually upload them into another system and repeat the process every time an asset changes.

Sometimes these workflows were designed during implementation without fully understanding how different teams operate.

Other times, the organisation's processes have changed, but the DAM hasn't.

What to investigate:

• Which tasks take longer than they should?
• Are approval steps genuinely necessary?
• Do permissions prevent people from completing routine tasks?
• Are staff manually transferring files between systems?
• Could existing integrations or automation simplify the process?
  
  

What might help: Map the actual journey of an asset, from creation and approval to distribution and reuse.

Identify unnecessary steps, duplicated effort and opportunities to simplify the workflow.

The goal isn't to automate everything. It's to make everyday tasks easier while maintaining the controls your organisation needs.

7. Nobody has reviewed the DAM since it was implemented

The complaint: "The DAM worked well when we launched it, but it doesn't suit us anymore."

Your organisation probably looks different from when the DAM was first introduced.

Perhaps you've grown, added new departments, increased video production, changed agencies or introduced new marketing platforms.

Your DAM requirements may have evolved too.

Yet many organisations continue using the original configuration without reviewing whether it still supports their needs.

Meanwhile, software vendors release new capabilities that existing customers may not be aware of or have enabled.

The result is a system that gradually becomes less aligned with the way people work.

What to investigate:

• When was the last review of your DAM configuration?
• Are teams using the features available to them?
• Have business requirements changed?
• Are there new integrations or capabilities worth exploring?
• Are recurring user complaints being addressed?
  
  

What might help: Schedule a periodic DAM health check.

Review the library structure, metadata, user adoption, workflows, permissions and available functionality.

A structured assessment can help identify what needs immediate attention, what can be improved over time and whether the platform still meets your requirements.

Could common DAM mistakes be behind your problems?

Many DAM challenges can be traced back to decisions made during planning, implementation or ongoing management.

We've explored these in more detail in our 10 Common DAM Mistakes and How to Avoid Them guide, drawing on the practical experience of our Customer Success team working with organisations across Australia and New Zealand.

If you're reviewing what's gone wrong with your DAM, it's a useful place to identify potential gaps and learn what could have been done differently.

Explore the 10 Common DAM Mistakes guide

So, is it time to replace your DAM?

Possibly. But that's not the first question to ask.

A new platform may be justified if your existing DAM genuinely can't support your requirements, lacks essential capabilities, has unacceptable limitations or no longer offers suitable value.

However, replacing a DAM can be a significant undertaking.

There may be costs associated with selecting a new platform, migrating assets, rebuilding metadata, configuring workflows, training users and managing the transition.

And if the underlying issues aren't addressed, there's a risk of recreating the same problems in a different system.

Before making that decision, consider three questions:

1. What's actually not working?

Be specific. Is it search, adoption, governance, workflows, integrations or something else?

2. Why isn't it working?

Is the problem caused by the software, its configuration, the surrounding processes or a lack of ownership?

3. What would a successful outcome look like?

Define what needs to improve before deciding how to achieve it.

You may find that your existing DAM has considerably more potential than you're currently getting from it.

Or you may uncover a genuine reason to change platforms.

Either outcome is useful when it's based on a clear understanding of your needs.

Not every DAM problem needs a new DAM

Digital asset management isn't just about technology.

It's about people, processes, content and the systems that bring them together.

When one part isn't working, the whole experience can suffer.

At databasics, we help organisations across Australia and New Zealand assess and improve digital asset management, whether that means optimising an existing DAM, reviewing workflows and governance or evaluating a different solution.

Our approach starts with understanding the problem, rather than assuming the answer is new software.

Not getting the results you expected from your DAM?

Explore our DAM consulting and health check services to identify what's working, what's not and where improvements could make the biggest difference.