10 Common DAM Mistakes — and How to Avoid Them
A practical guide to getting more value from digital asset management
Modern DAM platforms are designed to make content easier to find, manage and share. But even a good DAM can deliver less value than it should when a few important decisions around objectives, processes, metadata, ownership and ongoing management are overlooked.
This free guide brings together 10 common DAM issues — and practical ways to avoid them.
Practical tools included
The guide also includes:
- DAM readiness checklist
- DAM success scorecard
- ownership and responsibility model
- vendor and implementation partner checklist
What you'll learn
Discover how to:
- start with clear business outcomes
- improve processes before configuring technology
- use AI and metadata together
- clarify Marketing, IT and specialist responsibilities
- establish clear ownership
- make DAM value visible
- maintain attention after go-live
- avoid unnecessary complexity
- evaluate implementation and support partners
- continue improving DAM over time
Who this guide is for
This guide is designed for organisations that are researching DAM, preparing for implementation, reviewing an existing system or looking to improve adoption, governance and long-term value.
It is particularly relevant for Marketing, Communications, Brand, Digital, IT and content teams.
Built from real-life experience
databasics first documented common DAM issues more than a decade ago.
For this guide, those lessons were revisited with our Customer Success team — the people working every day with organisations using DAM across Australia and New Zealand.
The technology has changed considerably. The fundamentals of getting lasting value from DAM have not.
Successful DAM is sustained, not simply launched.
Good DAM management does not mean introducing unnecessary bureaucracy. It means putting enough structure around people, processes and content to make the technology easier to use and more valuable over time.
Continue the conversation in our live webinar
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Want to avoid the most common mistakes?
Join the databasics Customer Success team for a practical webinar on the mistakes they see again and again — and what organisations can do differently.