What it means, best practices, and examples. This guide provides examples and practical advice to help you create best-in-class interactive visualizations of your own.
Interactive data visualization is the use of tools and processes to produce a visual representation of data which can be explored and analyzed directly within the visualization itself. This interaction can help uncover insights which lead to better, data-driven decisions.
Today’s interactive visualizations and dashboards let you do the following:
See how to explore information and quickly gain insights.
Representing data graphically in the form of graphs, charts, and maps helps users quickly spot trends and assess the status of KPIs. Allowing direct interaction helps users dig deeper to identify patterns and find new relationships in their data.
Ultimately, interactive data visualization helps turn raw data into business insights and value.
In BARC’s survey of real BI users, Qlik Sense ranked #1 in critical KPIs including Performance Satisfaction, Dashboards, and Project Length in its peer groups.
This transformation requires a world class BI tool which provides both a data integration platform and a modern data analytics platform. Once this system is in place, below are three specific benefits that come out.
Make smarter, faster decisions. Interacting with large data sets in a visual format helps users quickly understand the story of their data and develop business insights that lead to data-driven decisions.
Do more analysis and exploration. Interactive visualizations allow and encourage all users to conduct deep analysis without requiring IT support every time they have a new question to explore.
Stay on top of your business. Simple visualizations in dashboards help users track key performance indicators (KPIs) and metrics. Real-time alerts help users take timely action.
Organizations in every industry and teams in every department leverage interactive data visualization to improve their performance. Below are three examples for specific sectors.
There are four key steps in creating a world-class interactive data visualization.