Topics
Agentic Analytics in Supply Chain
Agentic Analytics in CPG
HCP Targeting
IT Operations Analytics
FP&A Analytics
Subscription Analytics
Brand Insights
Payer Analytics
Field Sales Analytics
Few-shot / Zero-shot Learning
Multiturn Querying
Prompt Engineering
Text-to-SQL
Large Language Model (LLM)
Bring Your Own Model (BYOM)
Multi-Hop Questioning
Search Memory
Query Disambiguation
Fuzzy Matching
Business Terms Dictionary
Search Index (Analytics)
AI Retriever
No-Code AI Exploration
Deterministic Insight Engine
Semantic Contextualization
Composable Analytics
Insight-to-Action
Live Insights
Agentic Decision Flows
AI-Native Analytics
Multi-Source Analytics
Trade Promotion Analytics
Patient Journey Analytics
Pull-Through Analytics
Reimbursement Analytics
Agent Memory
Scenario Modeling
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

Natural Language Query (NLQ)

 Natural Language Query (NLQ) enables users to type business questions (like “What were Q2 sales in the Midwest?”) and get answers from data—no SQL or drag-and-drop needed. Tellius enhances NLQ with semantic understanding, query optimization, and contextual follow-ups.

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NLQ removes technical barriers, making analytics accessible to anyone with a question—unlocking curiosity across the business.

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