Enable users at every level of your organization to use data to enhance, refine, and innovate.
Data visualization is the practice of converting raw information (text, numbers, or symbols) into a graphic format. The data is visualized with a clear purpose: to show logical correlations between units, and define inclinations, tendencies, and patterns. Depending on the type of logical connection and the data itself, visualization can be done in a suitable format. So, it’s dead simple, any analytical report contains examples of data interpretations like pie charts, comparison bars, demographic maps, and much more.
There are two main categories of data visualization technology: visual reporting and visual analysis.
- Visual reporting. Visual reporting uses charts and graphics to depict business performance, usually defined by metrics and time-series information. The primary type of visual report is a dashboard or scorecard, which gives users a visual snapshot of performance. The best dashboards and scorecards enable users to drill down one or more levels to view more detailed information about a metric. In essence, a dashboard is a visual exception report, highlighting performance anomalies using visualization techniques.
- Visual analysis. Visual analysis, on the other hand, enables users to visually explore data to discover new insights. While visual reporting structures the navigation of data around predefined metrics, visual analysis provides a much higher degree of data interactivity. With visual analysis, users can visually filter, compare, and correlate data at the speed of thought. Visual analysis tools also often incorporate forecasting, modeling, and statistical, what-if, and predictive analytics.
Modern BI tools provide transformative data visualization and reporting capabilities that will help you:
- Enables Swift Action – Clearly communicate complex data, including big data
- Uncover patterns in your data
- Pinpoint what action needs to be taken
- Helps Organizations Identify Key Business Trends – Make informed decisions based on facts
- Meaningful Interpretation of Data – Combine data sets and automate manual processes
- Direct and Customized Interaction with Data – Enable data discovery and self-service
- Improve data quality and accuracy
- Enable faster and smarter decision making – Data Visualization Increases Productivity and Sales