25 docs tagged with "data-visualization"

Learn how to use Visual KPI's analytics tools, including Ad Hoc Trends, to analyze KPIs, identify patterns, and make data-driven decisions.

Learn how to configure objects like Groups, KPIs, Charts, Tables, and Trends in Visual KPI Designer, including detailed Info column settings for enhanced data visualization.

Learn how to create and configure Box Plots in Visual KPI Designer to visualize statistical distributions and compare data groups using managed and query-based methods.

Learn about the advanced chart visualization features in Visual KPI, including types like Pareto, Pie, Gantt, Bar, Histogram, XY Plot, Box, and Gauge charts, for effective data analysis and monitoring.

Learn how to create, configure, and manage charts in Visual KPI Designer. This guide covers various chart types, attributes, and best practices for effective data visualization in your KPI management system.

Learn how to create, customize, and manage dashboards in Visual KPI to monitor core information, visualize data, and streamline operations.

Learn how to enable and configure special visualizations in Visual KPI Designer, including Geo Map and KPI Image Overlay, to enhance data presentation and user interaction.

Gantt charts in Visual KPI allow users to track projects, visualize schedules, dependencies, and task statuses along a timeline, making them an excellent tool for project management.

Group Maps in Visual KPI provide a dynamic visualization for monitoring groups of KPIs with live status, custom layouts, and flexible configurations to enhance data accessibility.

Organize and manage your data efficiently in Visual KPI using Groups. Learn to create static and dynamic Groups, configure attributes, and enhance data visualization.

Discover how Visual KPI's interactive features simplify data visualization, enable customization, and support collaborative decision-making.

Learn about Key Performance Indicators (KPIs), their role in evaluating business success, and how Visual KPI provides near real-time visualizations to track and analyze performance metrics effectively.

Learn how to configure KPI trend settings in Visual KPI Designer, including start/end times, trend types, scaling, and status background visualization.

Learn how to create, configure, and manage KPIs in Visual KPI Designer, including defining attributes, connecting to external systems, and customizing visualization.

Learn how to use Visual KPI Designer, an Excel-based tool for configuring and managing the back end of the Visual KPI website. Define KPIs, link data sources, and organize data for real-time visualization.

Pareto charts in Visual KPI help identify critical assets, visualize cumulative effects, and focus efforts on areas that significantly impact overall performance, such as quality control and plant yield.

Pie charts in Visual KPI offer a simple and effective way to represent data proportions visually, allowing for customization of slice labels, colors, and data sources.

Query-based charts in Visual KPI provide a powerful way to visualize data directly from databases using SQL queries. These charts support advanced configurations like ranged-based, stacked, and clustered visualizations for various data insights.

Learn how Visual KPI processes data in real-time, providing live updates and accurate insights to support immediate decision-making.

Step-by-step tutorial on using a SQL Remote Context Server (RCS) with Visual KPI to automate data visualization, including setup, database creation, and building dashboards for a fictitious mining company.

Learn how to create and configure tables in Visual KPI Designer, including defining attributes, linking to trends, and utilizing SQL-based data sources for dynamic data visualization.

Discover how Transpara's Visual KPI revolutionizes KPI management with a unique, efficient, and secure approach to real-time data visualization.

Learn how to manage timestamps, relative time, and advanced time functions in Visual KPI to enhance data visualization and real-time monitoring.

Learn how to configure managed trends in Visual KPI Designer, including defining pens, trend types, scales, and Y-axis settings for customizable and dynamic data visualization.

XY Plots in Visual KPI allow users to visualize relationships between two data sets, with options for time series or non-time series data, fit lines, and customizable attributes like pens and axes labels.