To enable automation we need to transform our information governance controls into machine readable formats that underpin autoclassification.
Barriers to autoclassification for information governance and how to overcome them
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To enable automation we need to transform our information governance controls into machine readable formats that underpin autoclassification.
The canonical data model is the accepted standard for logical data models and it provides software developers with a standard template to build to.
The challenge is building information governance tools that fit into a variety of information architectures. And this is where entity relationship modelling is useful.
By studying successful systems, we can understand which design and functionality features will allow us to automate recordkeeping processes.