Big Data and How DAM systems May Change in the Future

Posted on December 27, 2013 No comments yet

Big Data DAM
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Most of us have a mental image that is not entirely wrong when we hear the term ‘big data’.

It conjures up images of large amounts of data that no single person can ever hope to sift through to find anything relevant.
Wikipedia says that big data is ‘the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis and visualization.’
In the past, insufficient data might have been a crucial factor in market research and analysis but today, the situation’s reversed. We have too much data to be able to make some sense of it. In short, our ability to collect data has outrun our ability to store, process and access it easily.
Big Data DAM

If you’re currently using a DAM system, what does this mean for you?

Firstly, most companies that need DAM services will never generate the amount of data that can be called ‘big’. Facebook handles big data. A profitable digital studio that is well-known in a particular locality might never need to. In fact, even enterprise DAMs may not need to store or rapidly process anything close to the magnitude of data that approaches big data.
But at some point of time, it is a possibility that your data gathering and storage reaches a point when it’s impossible to just depend on a single DAM system alone. And this is where the future of digital asset management is headed. So instead of a standalone system, you will need a large network of marketing systems like CMS and DAM that are integrated to handle all that data.
So ultimately, you’ll have to go down the platform approach road to make sure you have an in-house DAM system that integrates seamlessly with other systems.
For now (and maybe for as long as your business runs) you can be successful and go global without having to deal with big data. But once you see your data generation growing exponentially, it’s time to start thinking about the future.
Have any thoughts about this? Leave us a comment!

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