3. MetaPower Solves the Connection Analysis Problem.
It would only be a little exaggeration to say, It all comes down to data. If the requisite data isn't moving, then the system isn't working.
The Science of Change recognizes that change occurs in a messy and complex world, which can only be understood by analyzing the data connections. Successful Change Management must address these connections as part of the proposed change.
To make sure that the data moves, the design solution needs to solve the data connection problem. To develop bullet-proof solutions, data flow diagrams and a data dictionary are developed and analyzed to prove the data connections.
Applying the Science of Change demands techniques to identify, model, define and address the data connections of a proposed change. These techniques have been available in the information systems design industry for many years. They are the Structured Analysis techniques: developed in the 1970's, currently taught in our universities, and virtually ignored by business as too hard and too time consuming.
As in most things in life, success comes from hard fundamental work; blocking and tackling, if you will. In change management, this consists of modeling the process and its connections to other processes.
Data Flow Diagrams model the data flow between process steps, interfacing processes and aligned tools and programs.
The Data Dictionary is used to define the data throughout the process, and it's interfacing processes and aligned programs.
Finally, Logic Specifications prove the conservation of data throughout the process, linking all input data to output data. Once the design proves the data will flow, the chance for success is greatly improved.
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