Posts on Data

Business Analysis for Business Intelligence

Over the past few years, I’ve spoken to user groups to share my experiences working with use cases, scenarios, and user acceptance tests in support of data warehousing and Business Intelligence (BI) BI analysis. Afterwards, many people ask me to summarize my recommendations. In response, I wrote a short article – Requirements Tips for Data Centric Projects. You can access it here (note: you may have to register).

In my article, I focus on analyzing the context of usage. In addition, remember this: to elicit, analyze, and specify requirements in this space, almost all of the time-tested data-centric techniques are still necessary.

People often asked me for additional tips and advice. What additional considerations for business analysis for BI?

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Requirements Tips for Data Centric Projects

Are you working on data-centric software products? For example, ones that involves building a data warehouse, using extract-transform-load (ETL) and getting the gold—delivering business intelligence and analytic reports and queries for business decision makers?

Sue Burk shares the value of scenarios to define acceptance tests, and other practical techniques to improve your success with these data-centric projects in her expert response.

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