2016 was a big year in the annals of Cyber Security, and 2017 promises to eclipse it.
An introduction to the process of developing comprehensive strategies for enterprise data manangement and exploitation.
Let’s start at the beginning – what does this or any such “Framework” buy us?
What things actually promote or discourage innovation? We'll examine a few in this post...
Digitial Transformation is a hot topic in IT and big money maker for consultants - but what does it really mean?.
Saturday, January 28, 2017
Friday, January 27, 2017
Monday, January 9, 2017
Politics will Never Be The Same: Revelations & Mysteries from the Intelligence Report on Russian Hacking
Wednesday, January 4, 2017
Information Management – This has been a catch-all term for quite some time now. Information Management could be viewed synonymously with Information Technology and thus represents an aggregate of many non-related IT technologies. There is no unifying expectation behind this term nor is it necessarily even directed at data per se. The best way to describe Information Management might be as the top level of the Taxonomy – the superset into which all other IT-related practice should fit.
Data Management (DM) – As I alluded to in the previous post, Data Management is much more focused on the operational aspects of a variety of directly and indirectly related technologies. The DMBOK (the Data Management Body of Knowledge) has taken pains to classify this more precisely through a fairly wide-ranging taxonomy, covering everything from Data Architecture & Governance to Metadata Management. Perhaps the one common denominator across all of these areas is the expectation all of the capability is either resident upon or associated with systems that house and manage data. This includes both structured and unstructured data. The DMBOK also addresses the lifecycle aspect of those capabilities, which is why it includes Data Architecture, Development and Governance.