Glossary
Analytics and Business Intelligence Glossary
Precise definitions and implementation context for analytics, business intelligence, dashboard, KPI, and embedded analytics concepts.
Showing 16 of 16
Embedded Analytics Resources2
- What is Embedded Analytics? Definition and Meaning
- Embedded analytics places analytical views or actions inside another application's workflow while preserving explicit integration, identity, data-access, and operating boundaries.
- What is White-Label? Definition & Meaning
- White-label software lets one company present another provider's capability under its own brand, without implying ownership of the underlying system.
Dashboard Type Resources1
- What Is a Dashboard? Definition, Types & Examples
- A dashboard is a visual interface that displays key metrics and KPIs from multiple data sources in a single, easy-to-understand view for real-time monitoring and decision-making.
Data Visualization Resources2
- What is Data Analytics? Definition, Types & Applications
- Data analytics is the process of examining raw data to extract meaningful insights and patterns that drive informed business decisions.
- What is Data Visualization? Definition, Types & Best Practices
- Data visualization is the graphical representation of information using visual elements like charts, graphs, and maps to make complex data accessible and understandable.
KPI Dashboard Resources1
- What is a KPI? Definition, Types & Best Practices
- A Key Performance Indicator (KPI) is a quantifiable metric that tracks progress toward critical business objectives, providing teams with measurable targets and data-driven insights for strategic decision-making.
AI Analytics Resources1
- What is Augmented Analytics? Definition, Benefits, and Use Cases
- Understand how AI supports analytics workflow through automation, suggestion, and interpretation, and what to validate before shipping results to product users.
BI Tool Resources1
- What is Business Intelligence? Definition, Types & Examples
- Business intelligence (BI) is the technology-driven process of collecting, analyzing, and transforming organizational data into actionable insights that inform strategic business decisions.
Embedded Analytics Architecture7
- What is Headless BI? Architecture, Benefits & Use Cases
- Headless BI separates analytical presentation from semantic and query services so multiple interfaces can consume a governed analytical contract.
- What is iFrame Embedding? Definition, Security & Best Practices
- iFrame embedding allows you to display external content within your web page. Learn how iFrames work in embedded analytics and when to use them.
- What is JWT Authentication? A Signed Claim Set, and Where the Row Scope Sits
- A JWT proves where a claim set came from, not that the claims are true. In an embedded dashboard the harder question is where the row scope sits, whether it travels inside the signature, and what happens when it disagrees with the row policy.
- What is Multi-Tenancy? Definition & Architecture
- Multi-tenancy is a software architecture in which one solution serves multiple customer or organizational tenants while applying explicit isolation, routing, resource, and operating controls.
- What is Real-Time Analytics? Definition, Benefits & Use Cases
- Real-time analytics processes and analyzes data instantly as it's generated, enabling immediate insights and faster decision-making for B2B SaaS products.
- What is Row-Level Security? Definition, Implementation & Best Practices
- Row-level security (RLS) restricts which rows an execution context may read or modify, but it is one control within a complete authorization design.
- What is SDK Integration? Definition, Benefits & Best Practices
- SDK integration is the process of adding a software development kit to your application, enabling faster development and smooth connectivity with platform APIs through pre-built tools and libraries.
Self-Service Analytics Resources1
- What is Self-Service BI? Definition & Key Characteristics
- Self-service business intelligence (BI) empowers non-technical users to access, analyze, and visualize data independently without relying on IT teams or data specialists.