business analysis

There’s a bit of hype in terms such as business intelligence, data analytics, and data mining. In testing terms, though, it means working with scripts and databases, often without traditional GUI interaction. But core testing skills—analysis, synthesis, modeling, observation, and risk assessment—will still help you go far in business intelligence testing.

In the world of IT outsourcing, it is not uncommon for a company to have its applications and infrastructure developed or maintained by others. As vendors compete for this business, a common trial is testing the transition activity as a whole. How would you design acceptance criteria of a transition trial so that it is testable and clearly communicated?

Undoubtedly, your organization has disaster plans in place for recoverable situations. But what about for going out of business? Thinking about your obligations to clients, users, customers, and partners before the worst happens can make the transition easier for everyone. Here are some people and things you should incorporate into your apocalypse plan.

You’ve probably heard the buzz about big data and business intelligence data warehouses. Both deal with collecting information for analysis, but how are they different? When should you use one or the other? This article explains these two data solutions in a user-friendly way with real-world examples.