Topics
Agentic Analytics in Supply Chain
Time Series Analysis
Agentic Flows
Market Access Analytics
Analytics Stack
Search-Driven Analytics
Analytics Copilot
Knowledge Layer
Semantic Search in Analytics
AI Orchestration
Agent Composer
Insight Graph
Guided Insights
Agentic Analytics
Business Metrics
AI Agents
Prescriptive Analytics
Predictive Analytics
Natural Language Generation (NLG)
Insight Narratives
Natural Language Query (NLQ)
Workflow Automation
Data Integration
Business Logic
Data Preparation
Semantic Layer
Federated Data Governance
Data Products
Data Fabric
API Integrations
Data Democratization
White-Label BI
Ad Hoc Analysis
AI Analytics
Business Intelligence (BI)
Conversational Analytics
Zero Data Movement
Data Lakehouse
Cloud Data Warehouse
Live Query / Federated Query
In-Memory Query Engine
ETL / ELT (Extract, Transform, Load)
Data Transformation
Data Pipeline
Data Modeling
Data Mesh
Embedded Analytics
Search-Driven Analytics
Decision Intelligence
Data Storytelling
Dashboard
KPI (Key Performance Indicator)
Exploratory Data Analysis (EDA)
Self-Service Analytics

Self-Service Analytics

Self-service analytics refers to tools and platforms that allow non-technical users to access, analyze, and visualize data on their own. With features like natural language search, drag-and-drop interfaces, and AI-guided insights, users can make data-driven decisions faster. Modern self-service platforms, like Tellius, go beyond dashboards by enabling ad hoc exploration, root cause analysis, and predictive modeling with minimal friction.

Self-service analytics democratizes access to data, transforming every team into an analytics-enabled team. It reduces time-to-insight, fosters a culture of curiosity, and enables organizations to act with confidence. The result? Faster decision-making, more empowered users, and a stronger competitive edge.

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