Business Intelligence

What factors go into handling these data sources? How do we process them? How do we provide data visualizations based on those sources to meet business needs?

Self-Service analytics allows business users to start taking ownership of some of the work. This solves some businesses needs while creating other challenges.

Process modeling is very flexible, can help you better understand current processes, and can help you document desired future states of processes.

Metrics and KPIs are among the primary techniques for anything related to BI. If you can measure it, you can report on it. The key is picking the right ones.

While it may be tempting to choose only the newer data lake format, or the tried-and-true data warehouse, both have pros and cons that we explore in this blog.

As it applies to Business Intelligence, decision modeling can be used to build out the repeatable decision logic for what to show on reports and dashboards.

Data modeling discovers your scope, identifies gaps, and is easily understood. But it doesn’t dig into the details so it must be supplemented with other models.

Data dictionaries are great tools for any data project, but they must be maintained to continue being useful. Here's how to get the most out of them.

If you have many Business Rules, using this technique will help you ensure you are applying all the Business Rules to your project and across the organization.

There are differences between gathering reporting requirements & software development requirements. You have to focus on what the business wants to know not do.