Stop Letting Lack of Metadata Sabotage Your Content Operations: Why You Need Metadata Automation Today

Stop Letting Lack of Metadata Sabotage Your Content Operations: Why You Need Metadata Automation Today

Are you inadvertently sabotaging your own content operations and squandering visual content opportunities through inefficiencies? The hard truth is - that's exactly what's happening if you're not prioritizing metadata management. Metadata is the often overlooked linchpin that governs your entire digital content lifecycle. Without high-quality, consistent metadata, you're operating in a black box, wasting valuable time and resources while missing key revenue opportunities.

That's right - simply ignoring or deprioritizing metadata ripple effects into lost productivity, reduced brand integrity, and your ability to stay ahead of the competition through better product stories. This toxic situation puts your entire content supply chain at risk of entropy and dysfunction and it translates to a direct impact on your bottom line.

It's time to stop burying your head in the sand and get brutally honest about the costs of poor metadata practices. By establishing sound metadata governance and practices, coupled with metadata automation, you can streamline operations, reduce costs, enable new business opportunities and future-proof your content workflows for new digital channels.

1. Improved Efficiency and Cost Savings

The simplest yet most crippling issue is missing metadata, resulting in assets that cannot be leveraged effectively - because they can’t be found! As Kara Van Malssen bluntly stated in a LinkedIn post, "Assets are useless if people can't get to them."

Without consistent, descriptive metadata baked into your assets, your team is flying blind in your Digital Asset Management (DAM) system. Metadata illuminates the paths to find what you need to precisely filter, facet, and retrieve relevant assets on demand. Structured metadata also unlocks advanced auto-tagging capabilities through AI/machine learning to further accelerate asset retrieval. Fixing your metadata situation cuts out untold hours of rework and lost time spent searching (often unsuccessfully) and translates directly into significant cost savings.

2. Quality Control and Avoiding Critical Mistakes

Ever have one of those recurring quality control nightmares caused by inaccurate, inconsistent, or missing metadata? As we all know and Joshua Rubin bluntly stated during his keynote on Achieving Interoperability Through Composable Tech Stacks, "If you have garbage data in, you'll have garbage data out." It's an obvious trickle-down effect that everyone can acknowledge, but few seem to do anything about. Formatting inconsistencies, incorrect identifiers, missing context - these seemingly small metadata issues metastasize into critical downstream mistakes. Maybe the wrong product got published to an e-commerce site or printed materials went out with inaccurate specifications. Think about all the potential points of failure when working with assets that lack complete, standardized metadata language, or manual data entry.

3. Faster Content Creation, Distribution, and Customer Experience Opportunities

Having assets with complete, structured metadata allows for greater automation of tasks like captioning, content packaging, dynamic publishing and more that drive monetization. This accelerates your speed to market and delivery timelines. Snowflake's David Fisher stated in an article last fall, "metadata holds the key to quickly tracking assets through a media supply chain" to increase productivity, maximize content value, support hyper-personalized customer experiences, and identify other opportunities.

4. Future-Proofing for Innovation

The content universe is rapidly evolving with AI innovations including generative AI and large language models, but, as Eric Fulmer emphasized in his recent keynote on Metadata to Drive Commerce, "If your data sucks, your AI is going to suck...it's entirely data dependent." A solid metadata foundation future-proofs your operations for emerging technologies. Industry pro Yonah Levenson echoed the same during her speaking session at Henry Stewart’s Photo Studio Ops NY on the topic of A Little (Metadata) Goes a Long Way, look for that recording soon.

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Get Started with Better Metadata

Getting started with optimizing your metadata may seem daunting, but the long-term benefits far outweigh any short-term labor investment required. Fixing your metadata woes is very much in your control. The solution is easier than you think and can be considered in three key parts:

Automate metadata tagging wherever possible. This is where ShotFlow comes into play to dynamically translate brand rules and data governance into metadata embedded on assets at the point of capture. Whether it's product data and other pre-production data available from upstream systems such as PLM/PIM and Project Management, samples and size info, styling guidelines, legal/regulatory rules, or post-production specs - ShotFlow can be “auto-magically” transformed into the structured metadata schema on the fly. No human intervention needed!

Properly configure DAM and Content Management systems to consume and index metadata. This foundational work will change the game for your teams relying on digital assets for go-to-market. Now assets can be easily found, leveraged, and automated through workflows based on metadata as a foundational toolset to power your digital asset supply chain. Benefits realized through these configurations help drive momentum for alignment to keep metadata ‘clean’ and organized.

Implementing metadata management as an ongoing "practice." It’s not a short term project but instead a facet of the production process. Establishing metadata governance can be supported and protected with controlled vocabularies and schemas using permitted values and attribute models to maintain consistency as Eric Fulmer continuously advocates. It is a journey that builds up muscle through practice, upkeep and consistent oversight to ensure new products get the right values and new attributes follow established patterns. If you can’t take on this work entirely within your org, let ShotFlow recommend a consultant who can work with your team to establish metadata best practices.

Some additional tips based on expert insights:

  • Take a strategic, enterprise approach to metadata rather than one-off tactical implementations
  • Design your metadata schema backwards from your desired outputs/reporting needs
  • Integrate metadata capture seamlessly throughout your production workflows
  • Implement roles, permissions, and controlled vocabularies to ensure data quality
  • Utilize technologies and partners that enable metadata portability across your stack

The value of high-quality metadata cannot be overstated in today's digital content landscape. Start prioritizing metadata as a foundational investment for optimizing your entire content supply chain. The longer you let metadata problems fester, the harder it will be to rectify later on. If you need help, ShotFlow can guide you.

Kara Van Malssen

Helping organizations get the most out of their DAM platform | Partner & Managing Director @AVP

9 个月

Great article! This really drives home the the point that quality metadata is the key to unlocking the value of DAM. I particularly like the recommendation to, “Design your metadata schema backwards from your desired outputs.”

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