Datafor is a business intelligence and embedded analytics platform. You connect databases or files, describe the data once in an analysis model (relationships, hierarchies, measures and calculations), and then work from that model: build dashboards and reports, ask questions in your own words with the AI Agent, or embed reports in your own application. Who can open which content, and which rows and columns each user can query, is controlled per user and role.

Where things are

The areas in the console's left navigation:

Area	What you do there	Start with
Home, Personal, Public, Favorites, Recent	Open, organize and share reports and other content.	Quick Tour of the Console
AI Agent	Ask about a model in your own words and get charts, tables and conclusions. Selecting a model is optional: with Auto-select model the Agent picks one. An administrator sets up the AI service first.	AI Assistant, AI Agent Overview
Datasource	Connect databases and warehouses, or import Excel and CSV files.	Supported Databases, File Dataset
Models	Build analysis models: tables, relationships, hierarchies, measures and calculated measures.	Analysis Model Overview
Metrics Library	Keep the official definition of each business metric, with owner, synonyms and certification, and bind it to the measure that calculates it in each model.	Understanding Metrics Library
Reports	Design dashboards with charts, tables and filters on a canvas, with cross-filtering and drill-down.	Basic Operations for Report Design, Choose a chart
Settings	Administrators: license, email, branding, single sign-on, embed tokens, database drivers, query engine, AI Agent (AI service and knowledge indexes), backup.	Settings Overview

Data access needs configuring: having no matching enabled row policy does not automatically deny access, governed models need Apply data security enabled, and a report parameter that selects a customer or region is a filter, not a security boundary. See Data Security.

Where to start

Your starting point	Next step
A model is already available and you want to explore it	Open AI Assistant if AI is configured, or create a report from the model
You want to build your first dashboard	Follow Create Your First Analysis Report
You need to prepare data for your team	Start with Creating an Analysis Model
You are bringing analytics into a product	Start with SDK Embedding