Innovation never rests

Deploying Dundas BI using Docker containers allows you to access scaling and high availability features for cloud deployments or your own server clusters – for example, using Kubernetes. Containers also isolate Dundas BI from other apps and your server’s OS, and allow you to manage the container resources.

Orchestrate your Dundas BI deployments with Kubernetes clusters. From a single screen, you will be able to manage all your deployments and even automate new nodes as you scale.

Analyze data at ‘planet-scale’! Connect directly to data stored in Microsoft Azure Table storage or Azure Cosmos DB tables.

Sometimes the typical 12-month calendar just won’t cut it! Divide your year into 13 periods of 4 weeks each using this new time dimension for easier ‘monthly’ comparisons.

Charts typically fit all of their data points into the set size of the chart. But you know that you can zoom in to view the data in more detail or to restrict the number of data points displayed at a time? Charts now include a scrolled-to-end option for categorical scales and auto zoom properties for date/time scales.

For highly secure environments, users and groups can be restricted to only login from specific IP addresses or a range of addresses. This would provide additional protection if an account was compromised. In this unfortunate circumstance, an attacker would still need physical access to their compromised users' location to log in and see sensitive data.

Use the slicer comparison to measure values against different filter values. For example, you can easily compare a data set displaying Global-Yearly Results, with Regional-Yearly Results. You can also now compare multiple slicers and formulas.

When viewing dashboards on various devices and browser sizes, font sizes are exponentially more responsive, and always match the size of your dashboards. New settings ensure optimal minimum and maximum font sizes when automatically sizing text on responsive dashboards.

When this feature is enabled, your hierarchies will generate new values to replace each unique original value in the column so that it does not directly identify the original.

Launch metric sets, data cubes, and cube perspectives into new tabs more easily for multitasking with popup context menu options.

We took a look ‘under the hood’ and made some adjustments and enhancements to our software. Why, you ask? Just so we could make Dundas BI faster than ever, of course! Every page within the application will now load faster than it did before.

Combine Dundas BI with the powerful enterprise capabilities of Linux! With the introduction of Dundas BI on Linux, you now have more freedom to deploy and manage Dundas BI according to your organization’s IT standards.

New ‘Data Flow’ functionality presents users with a powerful new way to understand and manage how data is joined, and modify/blend related data. Use full Relationship Diagrams to review existing relationships (and add new ones) between multiple data sources.

With a single click, calculate the Median and highest/lowest values appearing most often in a range of values

Use the new menu component to add simple or complex menu navigation to your dashboard. This highly versatile component can be placed on a dashboard to help viewers navigate through other views or custom items quickly.

Use built-in data visualizations such as Heat Map Charts and Color Scale Legends to better visualize and compare data values in easy-to-digest, intuitive tables.

Use the new built-in assistant to build metric sets and explore data using natural language! Tell the system what you want, and let it do the heavy-lifting for you.

Some users rely on Scheduled Reports to distribute content to their users via email. These automated reports can now automatically distribute content simultaneously in multiple formats (Excel, PowerPoint, PDF, Image, CSV).

Dashboard designers can toggle displayed content giving dashboard consumers an interactive experience. The ability to show and hide content will allow you as a developer to hide contextual information that the viewer can choose to display in only one click.

Dundas BI optionally supports data warehousing/data storage in a structure known as a Data Cube. In this warehousing scenario, the building of data cubes will be on a schedule where the system will rebuild the data in these cubes on whatever frequency the developer wishes. You can now determine the order in which Data Cubes refresh in cases where Data Cubes will reference other Data Cubes and have a requirement to be loaded in a particular order.

Users looking at a data visualization on a dashboard may wish to full screen and maximize a specific visualization. Once selected, a given visualization will grow and expand to fill the entire screen to allow users to see a small visualization better or see another in more detail.