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Building the customer analytical data model
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Module
Building the customer analytical data model
9 Topics
1 hr 55 mins
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Data lies at the heart of one-to-one customer engagement. Utilize industry-specific data models for customer-centric decisioning, based on best...
Building the Customer Insights Cache
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Module
Building the Customer Insights Cache
9 Topics
1 hr 45 mins
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Data lies at the heart of one-to-one customer engagement. Utilize industry-specific data models for customer-centric decisioning, based on best...
Creating a case from email
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Module
Creating a case from email
2 Topics
20 mins
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Pega Email Bot™ can improve email response by starting a service case based on the content of a customer email.
Email bot cases and responses
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Module
Email bot cases and responses
2 Topics
25 mins
Pega Platform 8.8 -
Pega Email Bot can detect the topic or sentiment of an email and route the email to the appropriate operator or queue. Intelligent routing allows the...
Email Manager portal
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Module
Email Manager portal
6 Topics
55 mins
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The Email Manager portal facilitates the manual processing of emails that do not meet any of the intelligent routing criteria and necessitate triage...
Intelligent routing
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Module
Intelligent routing
4 Topics
1 hr
Pega Platform 8.8 -
Pega Email Bot™ can detect the topic or sentiment of an email and route the email to the appropriate operator or queue. Intelligent routing allows the...
Pega Email Bot configuration
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Module
Pega Email Bot configuration
3 Topics
45 mins
Pega Platform 8.8 -
Pega Email Bot™ leverages Pega’s industry-leading natural language processing (NLP) and process automation to interpret, route, audit, and automate...
Routing email based on content
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Module
Routing email based on content
3 Topics
25 mins
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Pega Email Bot can detect the topic or sentiment of an email and route the email to the appropriate operator or queue. Intelligent routing allows the...
Training the email bot
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Module
Training the email bot
2 Topics
20 mins
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Pega Email Bot uses natural language processing (NLP) to analyze and learn from patterns of conversation between customer service representatives...