Analytics Glossary.

Plain-English definitions of the terms you need to know in conversational analytics, AI-powered BI, and modern data access.

A

AI Business Intelligence(AI BI)

AI business intelligence uses artificial intelligence to automate data analysis, surface insights, and let users interact with data through natural language instead of manual reporting.

B

Business Intelligence(BI)

Business intelligence (BI) is the set of strategies, technologies, and practices used to collect, integrate, analyze, and present business data to support better decision-making.

C

Conversational Analytics

Conversational analytics is an approach to data analysis where users interact with data through natural dialogue instead of dashboards or queries. Learn how it works and why it matters.

D

Data Democratization

Data democratization is the practice of making data accessible to everyone in an organization, regardless of technical skill. Learn why it matters and how to implement it.

Data Literacy

Data literacy is the ability to read, understand, analyze, and communicate with data. Learn why it matters and how organizations can build data literacy across teams.

Data Visualization

Data visualization is the graphical representation of data using charts, graphs, and maps to help people understand patterns, trends, and outliers in their data.

E

Embedded Analytics

Embedded analytics integrates data visualizations, reports, and interactive analytics directly into the applications and workflows where people already work.

G

Governed Metrics

Governed metrics are centrally defined, version-controlled metric definitions that ensure consistent calculations across an organization. Learn how they work and why they matter.

K

KPI Dashboard

A KPI dashboard is a visual display of key performance indicators that provides a real-time overview of business health and progress toward goals.

N

Natural Language Query(NLQ)

A natural language query lets users ask databases questions in everyday language instead of writing SQL or code. Learn how NLQ works and why it matters for modern analytics.

R

Real-Time Analytics

Real-time analytics is the practice of analyzing data as it arrives, delivering insights within seconds or minutes rather than hours or days.

S

Self-Service BI

Self-service BI lets business users access and analyze data without depending on IT or data teams. Learn what it means, how it works, and why it's essential for modern organizations.

Semantic Layer

A semantic layer is an abstraction that maps business terminology to underlying database structures, letting users query data using familiar business terms instead of raw table names.

T

Text-to-SQL

Text-to-SQL is a technology that converts natural language questions into executable SQL queries, enabling non-technical users to retrieve data from databases without writing code.

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