In this episode, we’re focusing on one of the new ways Dundas BI simplifies data models and enables users to easily explore data in a logical and organized fashion by using Hierarchy Attributes.
Are your metrics impacted by the weather? Have you ever considered using historical weather data to contextualize your data visualizations? If you had weather forecasts, could you more accurately predict decisions and results? The possibilities when working with weather data are near endless and today I’m going to explore how we might incorporate it into our dashboards.
We hear about all types of intelligence these days; we know about everything from traditional IQ to emotional intelligence, to everything in between. There’s even buzz about sports IQ, media intelligence, and social IQ. However, the most important one you should be adding to your list is business intelligence (BI). BI is a powerful approach to how you use data that helps you make smarter business decisions, save money, cut costs, and spot and reduce inefficiencies.
Most BI requirements are similar across enterprises in regards to connecting to the data, preparing it, analyzing and visualizing it. Dundas BI offers the ability to satisfy these requirements out-of-the-box.
In our second edition of Innovation Never Rests, we dive deeper into one of the new ways Dundas BI empowers you to better visualize and analyze your data using unique and dynamic data visualizations, and – more specifically – how it enables you to uncover patterns in complex data by using Small Multiples.