Scheduling an analysis

Data is the electronic life-blood of every organization. The ability to continuously monitor data on an automated basis is critical to minimizing fraud, optimizing team efficiency, and supporting informed decision-making. In this article, we discuss how to create, schedule, and run a task in the Robots app.

This article builds on the examples illustrated in Scripting to automate a business process.

What does it mean to schedule an analysis?

Scheduling an analysis involves configuring an analytic script to run unattended. Scheduling an analysis allows organizations to perform time-intensive data processing overnight, and to set up programs of automated or continuous analysis. This is essential when dealing with large data sets.

Where do I schedule an analysis?

You can schedule an analysis in Robots.

The big picture

Once you upload an analytic script to a robot, you can create a task to configure the automation that you need.

You can configure tasks to run on an automated basis in production mode. For testing purposes, you can run tasks ad hoc in development mode.

After a robot completes a task, you can download output tables and files and view them locally, or view exported data in Results.

Steps

Ready for a tour?

Let's take a closer look at these features in context.

1. Create a task

You can create a task containing one or more analytic scripts. When you create a task, a robot runs the selected scripts according to however you set up the task.

2. Schedule a task

Robots provides two environments for managing and running analytic scripts that you author in Analytics: development mode and production mode. In development mode, you can test newly committed versions of scripts against data that you have segregated for testing purposes. Once you are satisfied that the scripts are working properly, you can activate them and make them your production version.

Note

For the purposes of viewing results immediately, the example illustrates how you can run a task ad hoc. Typically, tasks are run ad hoc in development mode, and on a schedule in production mode.

3. View task results

Once the task completes, you can download result tables and files and view them locally, or in the case of Analytics tables, you can export them to Results. You can view a summary of the outcome of a task, including statuses such as Success or Failed, and the time a task ran.

What's next? 

Learn how to automate a remediation workflow and visualize data

The Results app is used to manage exceptions, gather information from respondents to contextualize data, and visualize data to highlight trends, patterns, or outliers.

To find out more, see Remediating and reporting exceptions.

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