Many business and IT professionals will attest to the fact that project management is the key to successful data implementations, although few data analysts will agree.  When I previously referred to architecture, I meant an engineered approach to solving a complex, multi-faceted issue. Below I will start by citing some of the tricks of the trade noting that for the rest of the information – you will have to pay (you get what you pay for and in this case, its’ free)…

One of the most overlooked and yet an essential step of a data management challenge is to determine the current state of the environment, future state and then communicate this to the stakeholders.  This is best accomplished using a structured roadmap or blueprint – for defining and identifying how to get to the desired / future state (information nirvana as some of my friends refer to it).  By structured I mean that the roadmap uses an engineering approach that is organized for clarity of message. The roadmap process should at least include the following areas for consideration:

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