Inside Dundas BI
July 2018 Issue
In this issue, we have lots of great news and content to share with you. One of our Solutions Architects has written a fantastic article about data storytelling using the animated charts in Dundas BI. We also cover enabling self-service analytics to the least technical users in your organization, and share our latest blog on 3 Software Vendors Who Crushed it with Embedded BI. If you're interested in getting some Dundas BI training for your team, you'll be happy to learn that we recently released our NEW e-Learning Portal (Beta). Take a look and give us your feedback. This FREE e-Learning portal is open to any Dundas BI user. Our 10 Advanced Data Visualizations webinar is also now available for viewing (check out the new format!) and the companion piece to it - our NEW 10 Advanced Data Visualizations eBook is available for download. Enjoy!
Enhance Your Data Storytelling with Animated Charts
When visualizing data, there are times when it’s important to provide an analysis on how your data has evolved over time, along with context of how your data got to that point. This is where data storytelling comes in. As the name suggests, data storytelling is used to tell stories with your data and make your audience understand how and why they got there, and inspire action and/or behavioral changes. Using a Play Axis filter in Dundas BI is a great way to tell a story by animating the data changes to reveal trends and overall patterns, and provide your users with insights at the click of a button.
Enabling Self-Service Analytics to the Least Technical Users
Self-Service analytics promises to make sure all users can access the data they need. And while for some it does prevent the need to stand in line waiting for a busy technical IT team to get back to them, for many others even drag and drop capabilities are not easy enough to allow them to choose what data they want to explore. These users require Self-Service on a Silver Platter. One easy and very intuitive way to enable that, is by allowing data selections via drop down lists. Similar to how they would filter data using a drop-down list, they can simply choose what data to visualize using drop-down lists. We call this dynamic element filters.
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