> ## Documentation Index > Fetch the complete documentation index at: https://docs.anlytic.com/llms.txt > Use this file to discover all available pages before exploring further. # Platform overview > Understand the core concepts and building blocks of Anlytic before you start setting up your environment. Anlytic is a modern analytics platform that connects directly to your data warehouse or database, allowing your team to build dashboards, explore data, and share insights — without moving data out of your infrastructure. This page introduces the key concepts you will encounter throughout the platform and documentation. Understanding these building blocks will help you navigate the setup process and get the most out of Anlytic. ## Core concepts ### Workspaces A **workspace** is the top-level environment in Anlytic. It contains all your data connections, catalogs, dashboards, teams, and users. Think of it as your organization's home within the platform. Most organizations use a single workspace. Each workspace has its own settings, members, and permissions. ### Connectors A **connector** is a configured connection to an external data source such as PostgreSQL, MySQL, Snowflake, or BigQuery. Connectors store the credentials and connection details that Anlytic uses to query your data in real-time. You need at least one connector before you can start building dashboards. ### Catalogs A **catalog** defines which tables and columns from your connected data sources are available for analysis. It acts as a curated data layer between your raw database and the dashboards your team builds. Within a catalog, you can: * Select which tables to expose * Define **metadata** — labels, descriptions, and formatting for columns * Create **relationships** — define how tables join together so Anlytic can automatically combine data across tables ### Teams A **team** is a group of users within a workspace. Teams control access to dashboards and content. Each team member is assigned a role that determines what they can view, edit, or manage. Teams allow you to organize your workspace around departments, projects, or any structure that fits your organization. ### Dashboards A **dashboard** is a collection of charts and visualizations arranged in rows. Dashboards pull data from your catalog and display it through various chart types — tables, bar charts, maps, heatmaps, and more. Dashboards can be shared with teams and filtered interactively to explore different slices of your data. ### Workbooks A **workbook** is the editing environment where you build and configure a dashboard. Inside a workbook, you add rows, create charts, apply filters, and arrange your layout. Once you are done, the result is a published dashboard. ### Functions **Functions** are formula expressions you can use inside data tables to transform, calculate, and analyze data. They work similarly to spreadsheet formulas and support a wide range of operations — date manipulation, math, text processing, conditional logic, aggregations, and window calculations. ## How it all fits together The typical workflow in Anlytic follows four steps: Set up a connector to your database or data warehouse. Create a catalog that defines which tables, columns, metadata, and relationships are available for analysis. Create dashboards with charts that query your catalog data in real-time. Organize dashboards and share them with teams across your workspace. ## What's next Ready to set up your environment? Follow the setup guide step by step: Create your account and configure your workspace. Add users and assign roles. Configure your first database connection. Create teams and manage access. Create your first charts and publish a dashboard. Browse all available formula functions by category.