To fully detect, isolate, and resolve quality issues in a traditional, large-scale data warehouse requires that several approaches be used together. Wayne identifies types of data quality issues and then illustrates how to best attack and resolve those pesky issues.

No matter how well you've built it, no users will benefit from your product unless you can convince the buyers to purchase it. Selling to buyers is different than satisfying users—and you have to do both well to succeed. Consider the needs of the buyer as stakeholder. When you have no buyers, you have no users.

While software testing focuses on detection rather than prevention, we can argue that it has become a powerful counter-offensive against bugs. We can equally argue that many of today's software practices impede quality. Ross Collard compares these two positions and invites you to join the discussion.

It's easy to get caught up in the inertia of a project and forget to ask exactly what we are developing, who our customers are, and what their goals with our software might be. Few software projects have the time and budget to figure out what their project is through trial and error. Getting clarity on project focus not only helps productivity, working to create software that people actually need increases our chances for success.