Did you hear that Mr. Peanut died during Super Bowl LIV? Yes, Planters offed its 104-year-old monocled advertising logo and mascot and brought him back to life as much younger and cuter, modernized #BabyNut during the game.
Welcome to 2020! It’s amazing how far Digital Asset Management as come in the last decade! As one of the founding leaders in the space, we began the 2010’s entrenched in print, publishing and on-prem installations. Today, we still count some of the biggest media companies as customers, but now they are accompanied by others from almost every vertical - most often in the cloud. How to manage millions - if not trillions - pieces of corporate content: files, documents, images, audio, video, web and everything in between - is a universal problem every business is facing.
After you've decided what metadata you want to use to organize and categorize your digital assets, you'll need to get metadata populated within your DAM system. There are several built-in tools, that can help you automate tasks specific to extracting or converting existing metadata from assets and other systems. Metadata automation tools help you populate your DAM system faster, to quickly increase asset findability, improve brand consistency, and reduce risks by enforcing rights management and naming conventions.
If you are reading this, you may already have an idea of what metadata is, or you may be looking for an easy-to-understand explanation. For those that don’t, a simple explanation for metadata is the set of attributes that are used to describe assets (photos, graphics, PDFs, videos etc). Good metadata is critical for digital asset management to ensure that your assets are categorized and organized to be easily found. On the other side of the spectrum, bad metadata creates clutter and confusion, making finding assets difficult, and often deters users from adopting a DAM system.
As we kick off 2019, it’s the perfect time to look back at developments in the digital asset management industry, and to predict what’s coming for both DAM developers and users in 2019. If you are thinking artificial intelligence, personalized content, actionable metadata, customer experience, and technology advancements, then you are definitely on the right track.
We’re all busy building our personal brands, but are there best practices we can apply to protect the brands we work on?
Content Lifecycle Management Success: The Devil is in the Details. We’ve previously talked about the benefits of content lifecycle management (CLM), as a means to overcome the huge challenges that large amounts of creative and marketing content create. We’ve examined how it’s a natural evolution from digital asset management (DAM) and how it connects everything - across different types of content, marketing systems, and users… every step of the way.
What is Content Lifecycle Management (CLM)? You probably don’t need reminding that we are living in a content-centric world. If you’re reading this – you’re likely already in the content trenches, whether that’s commissioning, creating, supervising, approving or funding that content. You also don’t likely need reminding about the volume of content being created and how quickly it becomes challenging to manage.
We’ve been talking a lot about the dollars and ‘sense’ of digital asset management lately. With the amount of data consumers are creating and businesses are amassing - how could we not? We've put together the following list to help evaluate if you're falling prey to the cost pitfalls of marketing in a big data world: