Building the Data Warehouse

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standard requirements development for reports


IND1



determine data needed



for each analysis


IND2


IND4


IND5


IND6


program to extract data


analyze data


answer


question


institutionalize?

IND3



program to merge, analyze, combine with other data


Figure A.3 METH 3.


is always a certain amount of iteration. But in the DSS component of development that occurs after the data warehouse is developed, the whole nature of iteration changes. Iteration of processing is a normal and essential part of the analytical development process, much more so than it is elsewhere.


The steps taken in the DSS development components can be divided into two categories-the repetitively occurring analysis (sometimes called the “departmental” or “functional” analysis) and the true heuristic processing (the “individual” level).


Figure A.3 shows the steps of development to be taken after the data warehouse has begun to be populated.


HEURISTIC DSS DEVELOPMENT-METH 4


DEPT1-Repeat Standard Development-For repetitive analytical processing (usually called delivering standard reports), the normal requirements-driven processing occurs. This means that the following steps (described earlier) are repeated:


M1—interviews, data gathering, JAD, strategic plan, existing systems


M2—sizing, phasing


M3—requirements formalization


P1—functional decomposition


P2—context level 0


P3—context level 1-n


P4—dfd for each component


P5—algorithmic specification; performance analysis


P6—pseudocode


P7—coding


P8—walkthrough


P9—compilation


P10—testing


P11—implementation


In addition, at least part of the following will occur at the appropriate time: GA1—high-level review GA2—design review

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