Data Visualization Software

Analyze from All Angles

Give your users the power to see more and do more with their data. JReport lets users explore data from multiple sources to reveal the trends and comparative analytics behind the data. Embed JReport into your application to enable agile, self-service, in-context data analysis using Visual Analysis, KPIs and other animated charts. Transform data into rich data visualizations for analysis from all angles – easily and without expert assistance.

Reporting Software – Advanced Charts and Interaction

Reporting Software - Advanced Charts and Interaction

Visualize your data with a wide variety of animated charts, KPIs, filters, ranges, as well as in-context interactions to gain a better understanding of the data. In addition to standard charts, you can design advanced charts including back-to-back, heat map, bullet, spark line, gauge, doughnut, motion charts, and more. Reuse these HTML5 components when building reports and dashboards.

Data Visualization Software - Drill Down

Drill Down

Drill down and drill up along hierarchical paths or a highlighted region of a chart.

Data Visualization Software - Slice & Dice

Slice & Dice

Target specific cross sections of your data for flexible exploration and discovery.

Data Visualization Software - Pivot

Pivot

Shift elements between rows and columns of crosstabs for different views of your data.

Data Visualization Software - Color by, Size by, Shape by

Color By, Size By, Shape By

Visual Analysis lets you use dimensions & measures to highlight colors, sizes & shapes.

Data Visualization Software - Quick Views

Quick Views

Instantly change the visual renditions of data between different chart types.

Data Visualization Software - Filter & Sort

Filter & Sort

Apply and even synchronize filters, sorts and parameters across multiple visualizations.

Geo Analysis

Geo Analysis enables users to overlay geo-related data and markers onto maps in OpenStreetMap and Google Maps. Drill up and down along a data hierarchy such as from region, to country, to state, to county, and back up. Link map data to other visualizations and charts for a consistent and comprehensive view of the data.

Geo Analysis

Geo Analysis enables users to overlay geo-related data and markers onto maps in OpenStreetMap and Google Maps. Drill up and down along a data hierarchy such as from region, to country, to state, to county, and back up. Link map data to other visualizations and charts for a consistent and comprehensive view of the data.

In-Context Visual Analysis

Transform data into rich visualizations for in-context visual analysis. Multi-dimensional visualizations can be instantly switched between tables, crosstabs, and many types of charts. Using drag and drop, views can be immediately changed by color, shape, size, type, and more within the current context of the data view.

In-Context Visual Analysis

Transform data into rich visualizations for in-context visual analysis. Multi-dimensional visualizations can be instantly switched between tables, crosstabs, and many types of charts. Using drag and drop, views can be immediately changed by color, shape, size, type, and more within the current context of the data view.

What is Data Visualization?

Data visualization is also referred to as visual communications or descriptive statistics, and includes the techniques to present data in a visual way so as to clearly communicate information and stimulate viewer engagement and attention. It’s an essential part of data analysis and data discovery.

As data generation has increased, so have the ways for people to communicate, analyze, show and share these large quantities of information. The main objective of data visualization is to help your users understand the significance of your application’s data and to communicate this information clearly and efficiently.

Analyzing and reasoning about data through visualizations makes complex data more accessible, understandable and usable. For many people, seeing analytical results presented visually makes it easier to interpret patterns, trends and correlations from the data.

What is Data Visualization?

Why Use Data Visualization in Your Application?

Reasons for employing data visualization:

  • Discover how to increase revenues or reduce expenses
  • Mash up data from different data sources
  • Data storytelling
  • Identify areas that need attention or improvement
  • Understand what factors influence customers’ behavior
  • Know which products to place where
  • Spreadsheets are hard to visualize
  • Patterns and trends can be spotted quickly and easily
  • Saves time and energy
Why Use Data Visualization in Your Application?

Benefits of Data Visualization with JReport

The main advantages of communicating and analyzing information through visual means are to facilitate data exploration, data interpretation, and better decision-making.

Advanced interactive data visualizations enables the presentation of data into charts, tables and other widgets. User can explore these by drilling down, filtering, pivoting, slicing and dicing, among other actions, in order to view their data from different angles.

Using JReport’s data visualization capabilities you can not only simplify the data visualization creation process but also provide the most powerful, customizable visualization components. Dashboards and reports get a boost with visualizations that empower exploration and interpretation of the data for better business insights.

Benefits of Data Visualization with JReport

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