There is unanimous agreement among agile authors, experts, and practitioners that agile development works for building small stand-alone systems.

However, there is considerable disagreement among the experts whether agile can work for large, complex systems like an enterprise-class data warehouse, which requires an enterprise perspective for activities like data standardization, data integration, enterprise data modeling, business rules ratification, coordinated data staging, common metadata, collectively architected databases, and so on.

Today’s popular agile methodologies (Scrum, XP) were not designed to address any of these data integration complexities.

The Extreme Scoping™ approach presented in this session is an alternative data-focused agile methodology, which merges most agile principles with a robust data-driven methodology that includes all the data management activities so crucial for enterprise-class data integration solutions.

The main topics of this tutorial are:

• Agile principles that work for data integration projects
• Agile principles that don’t work for data integration projects
• Agile BI versus agile enterprise-class DW
• Extreme Scoping™ 7-Step planning process
• Agile on the BI maturity model