Determining data access risks using the DAG Maturity Model (part 1 of 3)
Organizations today are managing rapidly growing volumes of data. Over years of collaborating with our customers’ data center teams, I have watched the vocabulary of scale shift dramatically by moving from gigabytes to terabytes, and now, routinely to petabytes. Yet the real challenge isn’t just the sheer volume; it’s the format. A staggering 80 percent or more of this stored information is unstructured data, which is file-based content isolated outside the clean rows and columns of traditional databases.
These unstructured data environments comprise word processing documents, spreadsheets, presentations, media, source code, and more. Within this mix, files range from outdated, redundant junk to the organization’s absolute “crown jewels.” Managing this complexity is where Data Access Governance (DAG) becomes critical. It is the discipline of identifying what these files are, evaluating their sensitivity and relevance, and ensuring they are strictly secured against unauthorized access.
What is the driver of data...
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