Datafor is a business intelligence platform: connect databases, describe them once in an analysis model, build interactive reports on the model, and ask questions about the data in plain language with the AI Agent. These pages describe Datafor 10.00; see the release notes for what changed.

Start here

I want to	Read
Understand what Datafor does	Datafor Overview
Find my way around the console	Quick Tour of the Console
Load the sample data used in the examples	Set Up the Sample Data
Build a first report in ten minutes	Create Your First Analysis Report
Learn the report editor	Report Editor Basics

By task

Task	Start with
Install or upgrade the server	Installation (Windows), Docker
Connect a database	Supported Databases, Configuring a MySQL Data Source
Model the data	Analysis Model Overview, Creating an Analysis Model
Agree on metric definitions	Understanding Metrics Library
Choose and build charts and tables	Choose and build a chart, Table
Let readers filter	Filters
Format numbers, colours and tooltips	Display Units, Colors, Conditional Formatting
Explore: drill, cross-filter, view details	Exploratory Analysis
Ask questions in plain language	AI Assistant
Export or share	Export, Share Link
Print, export or email a paged report	Understanding Paginated Reports, Paginated Report Subscriptions
Send a dashboard on a schedule, or get told when a number crosses a line	Understanding Subscriptions and Alerts, Metric Alerts
Check what breaks before changing a model	Understanding Lineage, Usage and Impact Analysis
Embed reports in another application	SDK Embedding
Administer users, security and settings	Settings Overview, Permission Evaluation Overview

Find answers

Use the search box at the top of every page; it searches all titles and text. Field names in examples come from the sample model Retail Chain Operations; use the equivalent fields of your own model.