Methods for agile software development have been around for ten years, and for the last couple of years they’ve been penetrating projects for business intelligence (BI), data warehousing (DW), and data integration (DI).
- By Philip Russom, Ph.D.
- June 17, 2010
To create an agile environment, organizations must make it easier to deploy analysis tools and to quickly enhance their underlying data warehousing infrastructure. We explain some of the technologies and techniques that can help you make this happen.
- By Mike Schiff
- June 3, 2010
What's the best way to organize business analysts in an agile environment? We examine two approaches -- and a hybrid.
- By Wayne Eckerson
- May 20, 2010
These three goals can help DI specialists (and the people who work closely with them) stay focused on the noblest purposes and greatest value propositions of DI
- By Philip Russom, Ph.D.
- May 6, 2010
Standards are desirable and beneficial, but don't let them become so restrictive that they discourage the investigation of new technologies.
- By Mike Schiff
- April 22, 2010
Too many BI teams are shackled by outdated modes of industrial organization
- By Wayne Eckerson
- April 8, 2010
These four guidelines can shape how you fundamentally think of DI and how you measure the quality, modernity, and maintainability of DI solutions.
- By Philip Russom, Ph.D.
- March 24, 2010
Organizations must recognize that their data warehouses can be populated for data sources from both inside and outside their enterprise.
- By Mike Schiff
- March 11, 2010