# How-to Guides The How-to Guides will give you a walk through on accomplishing the basic to the most advanced things in OpenMetadata. These step-by-step guides will help get an overview of the features and also help explore the various functionalities. ## Agentic Metadata Management Use LLMs and GenAI agents for automation and intelligent data management within OpenMetadata Enable AI agent communication with metadata to add context and take intelligent and automated action ## Features in OpenMetadata OpenMetadata is a complete package for data teams to break down team silos, share data assets from multiple sources securely, collaborate around reliable data, and build a documentation-first data culture in the organization. Formalize agreements that keep data consumers and producers aligned. Discover the right data assets to make timely business decisions. Foster data team collaboration to enhance data understanding. Trust your data with quality tests & monitor the health of your data systems. Trace the path of data across tables, pipelines, and dashboards. Define KPIs and set goals to proactively hone the data culture of your company. Enhance your data platform governance using OpenMetadata. ## Quick Start Guides Admin users can get started with OpenMetadata with just three quick and easy steps & know-it-all with the advanced guides. Get to know the basics of OpenMetadata and about the data assets that you can explore in the all-in-one platform.

## How OpenMetadata helps Data Teams? OpenMetadata is a complete package for data teams to break down team silos, share data assets from multiple sources securely, collaborate around data, and build a documentation-first data culture in the organization. * Centralized, **Single Source of Truth** for all your metadata. * **[Discover](/v2.0.x-SNAPSHOT/how-to-guides/data-discovery)** the right assets in time and reduce dependencies. * Foster **[Team Collaboration](/v2.0.x-SNAPSHOT/how-to-guides/data-collaboration)** with conversations, tasks, announcements, and alerts in real time. * Build trust in your data with **[Data Quality Tests](/v2.0.x-SNAPSHOT/how-to-guides/data-quality-observability)** to ensure completeness and accuracy. * Track your data evolution with end-to-end **[Data Lineage](/v2.0.x-SNAPSHOT/how-to-guides/data-lineage)**. * Secure access to sensitive data by defining **[Roles and Policies](/v2.0.x-SNAPSHOT/how-to-guides/admin-guide/roles-policies)**. * Enhance organizational **[Data Culture](/v2.0.x-SNAPSHOT/how-to-guides/data-insights)** to gain crucial insights to drive innovation. * Define your **[Glossary](/v2.0.x-SNAPSHOT/how-to-guides/data-governance/glossary)** to build a common understanding of terms within your organization. * Implement **[Data Governance](/v2.0.x-SNAPSHOT/how-to-guides/data-governance)** to maintain data integrity, security, and compliance.