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Using UiPath Communications Mining for Analytics and Monitoring

Are you interested in learning how to use UiPath Communications Mining for analytics and monitoring? Then this course is for you.
Difficulty level
Difficulty level
Intermediate
Content language
Content language
English
Product covered
Product covered
Communications Mining
Completion time
Completion time
2 hours
About the Using UiPath Communications Mining for Analytics and Monitoring course 

This course is meant to educate business users and technical audiences on how to use the analytics and monitoring capabilities within the Communications Mining platform.  

It provides an overview of the methodology to define your desired outcomes, generate insights, track and share them, and translate them into action. It also covers communications monitoring using Quality of Service and alerting, as well as how Communications Mining enables continuous improvement. 

The Using UiPath Communications Mining for Analytics and Monitoring course takes 120 minutes to complete. At the end, you’ll receive a diploma of completion.

Course prerequisites

To make the most of this learning experience, we recommend going through the introductory UiPath Communications Mining Overview course in advance.

Course audience 

This course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business.

Using UiPath Communications Mining for Analytics and Monitoring course agenda

The full agenda covers:  

  • Methodology for generating insights 

  • Introduction to Reports 

  • Using Filters and Charting Labels and Values 

  • Using Label Summary 

  • Using Trends 

  • Using Segments 

  • Using Threads 

  • Using Comparison 

  • Using Tone & Quality of Service (QoS) 

  • Using Alert Center 

  • Using Dashboards 

  • Enabling Continuous Improvement

Using UiPath Communications Mining for Analytics and Monitoring course learning objectives

At the end of this course, you should be able to: 

  • Generate insights from your model via Reports. 

  • Use filters to create targeted granular views of the data. 

  • Build custom dynamic dashboards to track and share insights. 

  • Use Quality of Service (QoS) to analyze and monitor communications channels. 

  • Use Alerts to identify and proactively resolve issues as they arise.

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