Your dashboards are full of rigid charts and graphs that don’t draw the user’s attention to the analytics.
Data Out of the User's Workflow
The data visualizations are not embedded within the application requiring extra work outside the user’s workflow to access them.
Rigid and Resource-Consuming
Making changes to existing visualizations requires developer time, leading to a backlog of requests for the busy dev team.
Go Beyond Colors and Styles With Unmatched Customization
Allow users to control every aspect of their visualizations so they see their data in a way that resonates.
White-labeled and Embedded for a Seamless Appearance and Experience
Match the look and feel of your application with white-labeled analytics that are designed to keep your user in your application.
Quickly and Easily Deploy Custom Data Visualizations
Low-code design and personalized self-service empowers your users to create their own visualizations, saving your developers from getting involved.
4 Approaches to Data Analytics for Your Application
A guide for software teams. How to choose the right approach for your business.
The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.
As the analytics landscape has evolved, application teams who need to embed dashboards, reports, and other analytics capabilities in their commercial and corporate applications can choose from dozens of solutions. How do you differentiate one solution from the next?
Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market.
- The evolution of business intelligence
- 4 common approaches to analytics for your application
- The pros and cons for each option
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