Analytics overview
WorkFusion Analytics provides you with valuable insights into the performance and health of your business processes.
WorkFusion Analytics provides you with valuable insights into the performance and health of your business processes.
The AutoML dashboard provides insights into the following data:
The Capacity dashboard provides a quick and comprehensive overview of how IA Cloud components are used. In particular, it allows monitoring the utilization of the infrastructure resources, such as CPU, memory, disk space, over time. This information helps to determine whether there are enough resources to scale dynamically to process peak workloads in IA Cloud. The Bot Execution Platform Agent charts visualize how BEP Workers with different profiles (Control Tower and AutoML) share CPU and memory resources.
This guide gives you a quick introduction to custom dashboards: how to create datasets and charts and organize them into a dashboard. Since WorkFusion Analytics is originally based on Superset, you can refer to the Superset official documentation for additional details.
The goal of this article is to provide insight on how to deal with a customer’s information without risk of sensitive data disclosure to third parties not involved in the project.
Authenticate
This instruction explains how to publish custom Tableau-based dashboards to WorkFusion Analytics Server (Tableau Server starting from version 2018.3.2).
An AI Agent (or Digital Worker) is a ready-to-go automation solution that covers a single end-to-end Business Process. Typically, the solution includes the following:
Custom dashboards are a set of modified out-of-the-box (OOTB) dashboards or dashboards created from scratch to answer specific questions and allow for detailed analysis.
The role-based access mechanism (RBAC) limits access to data through Analytics dashboards based on the following filter categories:
The Analytics component in WorkFusion is available in the following implementations:
Global variables are intended to store common values used in different BPs and not hard-code them in Bot Tasks. Global variables can be used to store the following information:
The Manual dashboard gives access to the statistics for Manual Task processing.
The page describes the process designed to enable the following:
When you have many Business Processes (BP) and schedules, you might struggle to see clearly what and when is running and how to manage those optimally. To get a comprehensive overview of scheduled Business Processes, build a custom dashboard in Tableau based on the data stored in the Control Tower's MS SQL database.
The Overview dashboard provides a high-level summary of daily operations and overall automation health. From it, you can access the following data:
The Overview dashboard provides a high-level summary of daily operations and overall automation health. From it, you can access the following data:
The Process dashboard provides an in-depth drill-down into process metrics.
The main goal of the article is to help you identify and analyze the weak spots in your Business Process (BP) implementations using Tableau-based analytics. You will also learn about the primary causes of bottlenecks and get acquainted with the tools and solutions to address them.
In Version 10.1, Bot Relay Host was renamed to Bot Unit all over the dashboard, including filters.
To manage the access to Superset dashboards and related components, use standard Control Tower roles and permissions. To view or change the Superset-related permissions in Control Tower, navigate to System setting > Role management.
The Speed dashboard helps you identify bottlenecks in process executions.
You can start a Business Process (BP) from a Manual Task. Below are some code samples of how you can perform various operations associated with this.
A Data Source is a mechanism providing input data and configuration for your Business Processes (BPs) and tasks. The input format is best suited for those use cases where the data resides on an external source, such as an SFTP Server or Amazon S3 Cloud.
Before labeling, the most essential information the subject-matter experts (SME) should share with the data analyst (DA) includes the following:
This section is a generic guide describing how Tableau-based analytics tools can help you diagnose issues in a Business Process (BP), analyze them, and decide on further actions. Here, you will also learn about possible root causes that can affect performance and their impacts and the ways to detect and fix them.
To validate the accessibility of an S3 object from a different host, follow the steps below:
Goal of the step: Train Subject Matter Experts (SMEs) to provide a high level of tagging accuracy for collecting a quality data set.
The article describes how to upload files to Amazon AWS S3 used as the main file storage system by the Intelligent Automation Cloud components.
There are several ways how to upload files to MinIO storage. You can upload files to the storage in a web browser or via the Master Server.
General overview