Stage 1 - Determine the Question
Identity a question that we want an answer to, that we either:
Currently cannot answer, or
Can get an answer but the quality and confidence in that answer
is too low to be useful.
Stage 2 - Determine Required Data
Having understood what the question is, this stage
identifies what information will be required to answer it. It should be noted
that the temptation to try to answer the question should be resisted.
Stage 3 - Populate the Model
The third stage of the iteration is to find and populate the
model with the information identified. This sub-process is described in detail
in the next section.
Stage 4 - Integrate the Model
This phase ensures that the work that has been done and the
information loaded into the model is sustainable. For each of the Datasources
there are two alternatives (which were identified in the Analysis Phase):
The Datasource is removed - The processes and people using the
original Datasource will stop using it and will use the information in the model.
The Datasource is preserved - The necessary interfaces are built
to enable the synchronisation and management of the data going forward.
If this stage is not performed or is done badly it makes the
entire exercise utterly pointless. Most Enterprises ignore this stage which may
go somewhere to explain why many modelling efforts fail.
5 - Answer the question
Having populated the model, it is now possible to use the
model in concert with the tools and analyses provided by the modelling tool to
answer the question. After this, another iteration is possible.
Does your Enterprise only
model things when there is a clear reason to do so?
When things are modelled are
the sources correctly removed or integrated?
Do you federate the
maintenance of the information that has been modelled?
If you do not do one or more
of the above, does that cause issues and problems?
If so, what are the effects of
those issues and problems?
What will you do to solve