Why the Future of Digital Asset Management Hinges on Big Data

Grazed from SmartData Collective.  Author: Anand Srinivasan.

Cloud storage business has truly taken off in the past couple of years. According to a Markets And Markets study, the public/private cloud storage industry is expected to be worth $56.57 billion by 2019. For perspective, the public cloud storage industry was estimated to be just around $21 billion a couple of years back, according to Technology Business Review.

Besides cloud computing, one of the popular applications of cloud is in digital asset management, or DAM for short. For the uninitiated, DAM refers to the process of storing, cataloguing, searching and delivering of digital files, mainly audio, video, images and office documents. DAM is an extremely critical element of businesses like media and journalism that deal with lots of content. A typical media house, especially one that deals with videos, owns digital assets that are dozens of terrabytes large. In terms of data volume, it is common for these media houses to own northwards of a hundreds thousand files. Tagging every file, along with storing and retrieving them is a lot of work…


Despite the volume of content that DAM works with, this is still not the realm of big data analysts. It is not difficult to see why. Most small and medium sized business houses still make do with in-house CMS tools for managing their digital assets. Even the larger businesses that pay for dedicated DAM services have not more than a million or two files to store and process. Big data is typically used for data volumes that are much higher…

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