Use automations dashboard to analyze recent executions, addressing failed automations, and planning capacity for future tasks to enhance efficiency, reliability, and scalability. It ensures operations run smoothly by understanding automation impacts and monitoring device usage.

Overview

The automations dashboard is a powerful tool designed to enhance operational efficiency by monitoring your public and private automations details. It suggests analyzing recent executions to identify patterns or issues, addressing failed automations with corrective actions, and planning for upcoming automations by allocating necessary resources. Additionally, it emphasizes enhancing efficiency and reliability, evaluating the impact of automations on overall operations, and monitoring device usage to ensure optimal performance and contribution to automation goals.

The various widgets provide information about automation schedules, statuses, run times, and details of automations that are currently running. You can use this data to look at recent executions, fix failed automations, plan future schedules, improve efficiency and reliability, grow automation programs, understand automation effects, make sure operations go smoothly, and check device usage.


Automations dashboard in ACC

The grouping feature in observability allows you to identify your most valuable automations, devices, and users based on actual automation run-hours. You can also categorize these run-hours by status, execution type, and license type. Each grouping option includes a detailed table view that can be sorted, filtered, and exported to a CSV file. After each export, an Export to CSV event is logged. This export feature enables you to track the hours spent on automation runs within a chosen time frame. You can organize the data by specific entities and visualize it using a histogram (most active automations, devices, and users) and pie chart (status, execution type, and license type). Automation run-hours are a key metric for measuring automation activity, which in turn contributes to calculating the return on investment (ROI).


Grouping of run hours

Key features

Real-time monitoring
Provides live updates on the status of automation tasks, including which tasks are currently running, completed, or failed.
Performance metrics
Displays key performance indicators (KPIs) such as execution times, success rates, and resource utilization to help assess the efficiency of automation processes.
Error tracking
Identifies and logs errors or failures in automation tasks, allowing users to quickly diagnose and address issues.
Resource management
Offers insights into resource allocation and usage, helping to optimize the deployment of automation resources.
Historical data analysis
Allows users to review past automation runs to identify trends, patterns, and areas for improvement.
User-friendly interface
Typically features a graphical user interface (GUI) with dashboards, charts, and widgets for easy navigation and data interpretation.
Scalability
Supports the management of a large number of automation tasks and resources, making it suitable for enterprise-level operations.
Run hours distribution
Provides a list of automation run-hours within the automations dashboard without external run-hours group and manual calculations.