Inside Dundas BI Newsletter - Using Colors to Better Understand Your Data - Personalized Analytics Experiences and more - News and Press

Published: August 31 2018



Inside Dundas BI

August 2018 Issue

In this issue, we discuss the importance of color for your visualizations and how they can have a big impact on those viewing the data. Learn more about how Dundas BI helps you personalize the analytics experience for any user in your organization. Take a look at our latest blog on Heat Maps including what they are and when it's best to use them. We'd also love to have you join us for our upcoming webinar on August 30 - Dashboards vs. Reports - where we'll discuss the key differences between the two using live examples. And for those developers out there - we take a look at our script library and what's available! Enjoy.
 

Using Colors to Better Understand Your Data

The color design choices you make on your visualizations can make a great impact on your overall ability to better communicate data. Sometimes color choices can even lead to better or worse adoption rates simply based on how much users like them. Putting the emotional factor aside, colors can be used as great pre-attentive visual properties, helping users to better understand data by improving the visibility of shapes and encoding data or categories. To support better usage of color in your designs, Dundas BI offers different color rules that allow you to automatically color your visual using different value ranges or assign a dedicated color to a category to better identify it. For example, always associate the “Coca-Cola” category with the red color.
 
 

A Personalized Analytics Experience

Empowering more users to use data to make better decisions depends greatly on how much they can quickly and easily relate to the data and put it to use. Dundas BI was designed to help cater to each type of user's needs using different methods. For example, it allows users to save their own custom filter selections using personalized tokens. Another example is the automatic personalization that takes place for each user by default. This will store for the users their most recent filter selections as well as user preferences such as keeping different tabs open or closed. This allows users to pick up things where they left them rather than starting from the defaults every time they open the system, hence getting a faster and better experience, automatically personalized to their liking.


Dundas BI Script Library
 
A big part of Dundas BI's unrivaled flexibility is rooted in the developers' ability to add custom actions using their own JavaScript logic. Dundas BI actions are available at many different trigger points such as when the dashboard/report pages are loaded, when the user clicked on a certain visualization, when there is a data change and the list just goes on and on. Since Dundas BI is based on fully open APIs, script actions can fully access any element in Dundas BI and use it to create a custom behavior. While in many cases those custom behaviors can be accomplished without any script simply by configuring an interaction, the ability to inject your own script really opens up endless possibilities, allowing to create any desired behavior right from within Dundas BI. To help developers better understand how to use scripts and get inspiration to go beyond the built-in behavior to build your own, Dundas offers a rich script library with over 50 live script samples that provide the detailed script and the ability to even download the script sample and bring into your own Dundas BI instance to serve as a base for your future scripts. Even if you are not a developer, you can use the script library to view and interact with the different samples that could take your solution to the next level.
 
Click Here for the Script Library


Dashboards vs. Reports
Which One Should You Go With?

Reporting… businesses live and die by it, employees live and die by it. So why is there such confusion over reports and dashboards? In this webinar we’ll discuss the differences between dashboards and reports – which are often difficult to interpret.

Join Us for Our Upcoming Webinar:
Dashboards vs. Reports

Date: Thursday, August 30th 
Time: 11:00 a.m. EDT
Presenter: Ariel Pohoryles, Director of Product Marketing

We'll cover:

  • The definition of Reports and Dashboards using live examples
  • The key differences between reports and dashboards
  • Our recommendations for when to use Reports vs. Dashboards
 

Explore Our New Blog:
When (and Why) to Use Heat Maps

When you hear the term “Heat Maps”, what comes to mind? Do you immediately think of something related to financials? Or are you drawn to forecasts you’ve seen on weather networks? Maybe you’re an out-of-the-box thinker and think of website tracking and tools to optimize conversions?
 
By definition, Heat Maps are graphical representations of data that utilize color-coded systems. The primary purpose of Heat Maps is to better visualize the volume of locations/events within a dataset and assist in directing viewers towards areas on data visualizations that matter most. 

Heat Maps are extremely versatile and efficient in drawing attention to trends, and it’s for these reasons they’ve become increasingly popular within the analytics community, but that’s just the tip of the iceberg as to why.

There are instances when Heat Maps are perfect to use. We take a look at what those are in our latest blog.


Check out what real users of our software have to say...

#1 BI Software as Rated by Real Users in Info-Tech's BI Research Report

#1 in Product & Performance Satisfaction and Embedded BI in the world's largest survey of BI software users

Highest Overall Rating on Gartner Peer Insights

Top Ranked Embedded BI Software for Enterprise
 
 

 


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