Step 2, Section B: Nontechnical Infrastructure Evaluation


Things to Consider

Logical Data Model

Do we already have logical data models for the source systems? If not, who is responsible for creating a logical data model for this BI project?

Who are the data owners and business people who have to participate in the validation of the logical data model and the business meta data?

How many trained data administrators do we have? Will we have to hire more?

Who will integrate our logical data model into the enterprise logical data model?

Who will validate the expanded enterprise logical data model?

What CASE tool do we have for logical data modeling? Will we need to license (buy) one?

Meta Data

Do we already have a meta data repository? Will we need to license (buy) or build a meta data repository?

If we have one, how easy is it for the business people to access and navigate through the meta data repository? Do we need to enhance it?

Who is responsible for capturing all the meta data components ? Who is responsible for loading the meta data into the meta data repository?

How will we merge the new business meta data from the CASE tool with the new technical meta data from the ETL tool and the OLAP tool?

Standards, Guidelines, and Procedures

Are our current standards too lax or too stringent?

Where are the standards documented? Are they being followed?

How effective are our data quality guidelines for measuring dirty data and and triaging data cleansing?

Are our change-control procedures easy to use? Do we have a template?

Do we have a template for an issue log?

What are our testing standards?

Are we habitually testing too much or too little? Are we testing the right things?

How are we currently resolving technical and business disputes?

Do we need to create or change our dispute resolution procedure?

What are the roles and responsibilities that will be assigned to the core team members ?

Is our current team structure effective?

Enterprise-wide nontechnical infrastructure is a critical success factor for a BI decision-support environment. Without a cross-organizational infrastructure, BI applications would only contribute to the existing chaos of stovepipe applications and databases.



Business Intelligence Roadmap
Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications
ISBN: 0201784203
EAN: 2147483647
Year: 2003
Pages: 202

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