Why is real-time data important and what does it mean in the context of Business Intelligence? In this video, we answer those questions and look at how to implement real-time data in Dundas BI.

You've noticed there are problems with your source data, but it could take IT up to three weeks to make the changes. With Data Correction in Dundas BI, you don't have to worry!

In Data Visualization, treemapping is a great method to allow for the visualization of hierarchical data using rectangles. Let's explore what the treemap can do and how to build one using Dundas BI

With Dundas BI, you literally can do ANYTHING! The only thing that rivals the size of Dundas BI, is the number of resources we have to help you master it and become more data-driven.

You need to actively monitor everything from usage to performance in order to keep track of business intelligence project objectives and ensure your content is still relevant to your users.

Let's dive into why white labeling is so important in business intelligence and take a look at some examples of what this may look like with Dundas BI.

In this video, we explore how you can identify and use a REST API inside Dundas BI to perform application functions without stepping foot in the application

In this video, we talk about some of the key terminologies around Key Performance Indicator (KPI) theory. We will discuss definitions, identification, and some tips on using KPIs.

Filters are amazing because they allow both content creators and users to have some control over what they are seeing on dashboards. Let’s dive into how parameters work and how to utilize them.

In this video, we will talk about some of the different types of ETL problems that can be solved with the Dundas BI Data Cube layer in the context of Data Preparation.

Localization is the ability to adapt to various languages and cultural formatting requirements in software. We look at how this applies to Business Intelligence and Dundas BI specifically.

This video aims to provide a brief overview of the differences between the different types of users of Dundas BI; from consumers to analysts to advanced developers.

Using a feature in Dundas BI called ‘Brushing’, we can quickly highlight related information for analysis. Let's examine how to implement it on your dashboards.

In this video, we’re talking about size! The size of a Dundas BI server that is, and what you should be thinking about when choosing CPU, RAM, and hard drive space.

By popular request, this video provides a step-by-step walk-through on how to build an a-la-carte style self-service dashboard for your users in Dundas BI.

Whether you are a consumer, an analyst, or an advanced developer, Dundas BI offers something for everyone. Explore the different types of users in Dundas BI and best practices when working with each.