15 docs tagged with "kpis"

Explore the available interfaces in the Transpara system, including their use cases and how they enable data integration from various sources for Visual KPI.

Learn how to set up and configure interfaces in Visual KPI Server Manager, including prerequisites, installation steps, connection verification, and troubleshooting.

Learn the foundational concepts of Transpara Visual KPI, including KPIs, hierarchy and groups, design and authoring, data sources, interfaces, and access levels. These concepts provide the essential knowledge needed to master the system and optimize performance monitoring and decision-making.

Understand the core concepts of Visual KPI interfaces, including their components, configuration, security practices, and how they enable data integration and visualization.

Understand the basics of Key Performance Indicators (KPIs) and how Visual KPI visualizes and manages them for effective performance evaluation and informed 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 configure an ODBC interface for integrating SQL databases with Visual KPI, including query creation, parameterization, trend and historical data, and aggregation settings.

Learn how to configure Python interfaces for Visual KPI to retrieve and process data from any source, including examples of required methods for trends, historical values, and more.

Learn how the Remote Context Server (RCS) automates Visual KPI configuration, discover its key features, and explore use cases for external metadata integration.

Learn how to install and configure the Transpara tStore interface, retrieve metrics and lookups, and use parameters like filters, aggregation functions, and buckets in Visual KPI.

Explore advanced trend visualization features in Visual KPI, including Ad Hoc trends, trend gestures, SPC rules, and multi-KPI analysis for real-time data monitoring and decision-making.

Learn how to use parameters in Visual KPI Designer to combine and calculate data from multiple data sources, automate dynamic attributes, and enhance KPI visualization.

Discover how to configure and parameterize Visual KPI interfaces, including ODBC, JSON, Python, and tStore, for seamless data integration and enhanced flexibility.