# Overview

This page gives you an overview of the ENLYZE Platform components and shows you where to find each topic in the documentation.

## Platform components

The ENLYZE Manufacturing Data Platform consists of several components that together transport machine data from the shopfloor into your analysis tools.

### Edge Device

The Edge Device is installed on-site in your production environment. It reads data from controllers (PLCs), sensors, and gateways, then transmits it to the ENLYZE cloud via an encrypted VPN connection. Details can be found under [Edge Device](https://docs.enlyze.com/en/connect/edge-device).

### Manufacturing Data Platform

The cloud platform stores and processes all machine data. It calculates KPIs such as OEE, detects downtimes, and provides data via the API. The platform processes both real-time data and historical time series.

### ENLYZE App

The web interface at [app.enlyze.com](https://app.enlyze.com/) provides features for production analysis (timeline, OEE, downtimes), configuration (Variable Mapping, downtime reasons), and administration (user management). Learn more under [Production optimization](https://docs.enlyze.com/en/production-optimization/overview).

### API & integrations

The REST API provides programmatic access to machine data and KPIs. The integrations with [Grafana](https://docs.enlyze.com/en/integrations/grafana) and [Power BI](https://docs.enlyze.com/en/integrations/power-bi) are built on top of this API.

## Documentation

### Concepts — knowledge foundation

The [Concepts](https://github.com/enlyze/enlyze-docs/blob/main/en/concepts/README.md) section provides background knowledge on production data and key metrics. Concept pages explain **why** things work the way they do, without going into specific click paths. Topics: machine data (data sources, variables, time series), downtimes, performance, OEE, and a glossary.

If you want to know **how** to set something up, check the how-to guides in the respective sections.

### Model — platform structure

The [Model](https://github.com/enlyze/enlyze-docs/blob/main/en/model/README.md) section describes how the ENLYZE Platform represents your production:

```
Site
└── Machine
    └── Data source
        └── Variables
```

**Sites** group your production by physical locations. **Machines** are the units for which KPIs like OEE are calculated. **Data sources** provide raw data from controllers. **Production runs** associate machine data with a product and time range.

### Variable Mapping — preparing data

[Variable Mapping](https://github.com/enlyze/enlyze-docs/blob/main/en/variable-mapping/README.md) describes the process of preparing variables from your data sources for use in ENLYZE. The two steps are **Exploration & Discovery** (finding and enabling variables) and **Contextualisation** (adding a display name, unit, and scaling factor, then activating variables).

### Connect — connecting machines

The [Connect](https://docs.enlyze.com/en/connect/platform-preparation) section explains how to connect machines and data sources to the ENLYZE Platform. Topics: Edge Device (preparation, installation, ENLYZE EDGE), OT connectivity (controllers, protocols), IT connectivity (ERP/MES integration), security, and troubleshooting.

### Production optimization — using your data

Under [Production optimization](https://docs.enlyze.com/en/production-optimization/overview) you will find guides for the analysis features of the ENLYZE App: OEE, downtimes, performance, quality, Golden Run, setup sheet, Co-Pilot, batch record, and reports.

### Integrations — external tools

The [Integrations](https://docs.enlyze.com/en/integrations/grafana) section provides guides for connecting external analysis tools:

* **Grafana** — Real-time dashboards with the ENLYZE connector
* **Power BI** — Business analytics and reporting with the ENLYZE Power BI Connector
* **SAP** — Integration via the SAP Integration Suite

### Administration

The [Administration](https://docs.enlyze.com/en/administration/manage-profile) section covers managing your ENLYZE account: manage your profile (name, language, password) and user management (invitations, roles, permissions).