Remediating and reporting exceptions

Simply identifying exceptions in data doesn't mean you have solved the problem. If you are spending much of your time chasing down people to remediate, root issues will still persist. To be efficient, organizations need the ability to automate exception remediation and monitoring, and present a data story that mobilizes action to better manage risk. In this article, we discuss how to automate a remediation workflow and visualize data using the Results app.

This article builds on the examples illustrated in Creating a script to automate a business process and Scheduling an analysis.

What does it mean to remediate and report exceptions?

Remediating exceptions involves identifying and managing red flags and gathering information from respondents to contextualize data. Reporting exceptions includes visualizing data to highlight trends, patterns, or outliers.

Where do I remediate and report exceptions?

You can remediate and report exceptions using the Results app.

The big picture

You can take an analytic script that you created in Analytics, and upload it to Robots to run the script on an automated basis. A robot can perform a task to execute an analysis and export exception data to Results.

In Results, you can automate a remediation workflow using questionnaires and triggers. Then, you can use Storyboards to visualize data:

  • Questionnaires are used to contextualize data and responses are stored in tables.
  • Triggers automate your organization's remediation workflow by executing a set of actions based on record data in tables or metric thresholds you define.
  • Storyboards present data results using multiple visualizations, which is based on record data in Results tables.

Steps

Ready for a tour?

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

1. Automate remediation and monitoring

Results helps you automate your organization's remediation workflow when investigating potential issues. Using a combination of questionnaires and triggers, you can manage a large number of potential issues, and identify and prioritize those which need immediate attention.

Set up an environment for processing records

Each table in Results includes a default view for processing records. You can also create additional views of the data in the underlying source table. This allows you to organize and isolate data based on different dimensions or categories, and present other users with a pre-configured view that they can use to process records.

Create questionnaires

Questionnaires are used to gather information from respondents and contextualize data. Each collection can have one or more questionnaires that you deploy as follow-up mechanisms when remediating records. Responses are captured in the specified table with each question defined as a distinct column.

Tip

The Template Questionnaires Collection contains a variety of pre-built questionnaires that you copy and use as a starting point. Each template questionnaire relates to different industry segments and is pre-populated with a series of questions.

Create triggers

You can create triggers to automate your organization's workflow by defining a set of actions that automatically execute when a specific change occurs. Triggers are associated with individual tables and can be configured for record changes or metrics thresholds.

Track key indicators with metrics

Metrics monitor the data in a single column over a time period using an aggregate function such as average, count, or percentage of total. When you configure a metric, you also set triggers with threshold conditions that test the value of the calculation. When any of these conditions evaluate to true, the trigger's calculation value changes and any associated actions execute.

2. Visualize data

Data visualizations are essential to helping people understand the story within the data. Placing the data in a visual context helps patterns, trends, and correlations emerge that might otherwise go unnoticed. Data trends and patterns are best demonstrated in the context of larger goals and metrics. By presenting data visualizations within context, a better story emerges from data and stakeholders can draw clearer conclusions.

3. Present a data story

Storyboards provide a macro view over a larger collection of similar incidents in order to determine trends and analyze the root cause of systemic issues. For frequently recurring incidents, storyboards can be used to report on the incidents portfolio as a whole.

What's next? 

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