---
title: Batch Reporting
slug: how-tos/rIvU-ba
docTags: G8BVEz3koxH3IqjirGj3V,HM2rWeeWAO1-Dgm69CZmi
createdAt: 2025-08-29T12:51:45.188Z
---

## Introduction

In these how-to guides, we will describe how to build three Grafana dashboards for monitoring and analysing batch production operations. These are:

1. [Operator dashboard](docId\:TCZsHWHbCgwZHM5GVSBk9)
   A real-time dashboard for floor operators and shift leads, showing the current status of a mixer, live process signals and recent batch step history.
2. [Batch comparison dashboard](docId:-eAy8wETSWFTZIQbZv8Ki)
   An analytical dashboard for process engineers, allowing side-by-side comparison of process signals, energy consumption and step durations across multiple batches.
3. [Weekly report dashboard](docId\:hRheYOXAm8Lm6vkH8rXdJ)
   A weekly summary dashboard for shift leads and production managers, showing batch throughput, energy consumption and quality results across both production lines.

### Dashboard overview

|                | Operator Dashboard           | Batch Comparison         | Week Report           |
| -------------- | ---------------------------- | ------------------------ | --------------------- |
| **Audience**   | Floor operators, shift leads | Process engineers        | Shift leads, managers |
| **Time scope** | Real-time, last 6 hours      | Per batch (event-scoped) | Week by week          |
| **Complexity** | Beginner                     | Intermediate             | Intermediate–Advanced |

### Operator Dashboard

The Operator Dashboard is a good starting point. It introduces two fundamental query types: **Asset Measurement queries** for live process signals, and **Event queries** for batch step history. It covers the most common panel types: `Stat`, `Time series`, `State timeline` and `Table`.

### Batch Comparison Dashboard

The Batch Comparison Dashboard builds on the Operator Dashboard concepts and introduces more advanced query patterns and data transformations. The central technique is using **Periodic event queries** with the `Fetch asset properties` option, enabling meaningful shape comparison across batches regardless of when they ran.

### Week Report

The Week Report is the most advanced of the three dashboards. It introduces **panel repeat** and a non-trivial transformation pipeline for the daily throughput charts. The quality pass rate panels use a multi-step `Calculate field` pattern to compute a ratio from grouped event counts. The weekly time picker quick ranges can only be configured by editing the dashboard JSON directly, which is also covered.

### Prerequisites

Make sure you have the following prepared:

- An instance of Factry Historian
  If you do not have an instance of Factry Historian at your disposal, you can run it locally using our [Docker setup guide](docId\:MYrFSdThXLh5xQK06iK-m).
- Data from Faketory loaded as measurements.
  Consult the [Docker setup guide](docId\:MYrFSdThXLh5xQK06iK-m) or the [Faketory](docId\:tJw2vWPK12gU3Z5AWHr4a) pages for more information.
- A configured Faketory [Asset tree](docId\:iN_ezeGWrOTYDEZ3cgrYE) and associated [Events](docId:9v8E0C-mKyeQdC85Wpd9H).
- Installed and configured [Factry Historian Datasource plugin for Grafana](docId:9enC3pgV14ed-p2oATbtJ).

We recommend loading all data for the Faketory in a separate organization in Factry Historian and configuring the datasource plugin against this organization.