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Low-Code App Builder
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ミッション
Low-Code App Builder
12 モジュール
10 チャレンジ
11 時間 20 分
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An introduction to using Pega Platform™ to develop applications that advance the digital transformation of organizations.
Low-Code App Builder Extended
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ミッション
Low-Code App Builder Extended
1 ミッション
19 モジュール
18 チャレンジ
23 時間 45 分
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Continue learning about low-code application development using Pega Platform™.
Low-Code Maker
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ミッション
Low-Code Maker
4 モジュール
2 時間
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Designed for the Maker, learn to utilize the low-code technology of Pega PlatformTM to configure applications that automate and streamline individual...
Pega Customer Service Case Management Edition
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ミッション
Pega Customer Service Case Management Edition
2 モジュール
3 チャレンジ
1時間 30 分
Pega Customer Service 8.7 -
In this mission, you learn how Pega Customer Service™ Case Management Edition allows you to utilize the Pega Platform™ case management capabilities in...
Business conditions
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モジュール
Business conditions
2 トピック
20 分
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Learn how to create your own, custom business conditions in App Studio. Business conditions allow you to use a set of pre-defined criteria to...
Creating a case from email
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モジュール
Creating a case from email
2 トピック
20 分
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Pega Email Bot™ can improve email response by starting a service case based on the content of a customer email.
Presenting suggestions for agents
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モジュール
Presenting suggestions for agents
4 トピック
35 分
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During customer interactions, CSRs receive suggestions through notification cards in the Interaction Portal of Pega Customer Service™. They represent...
Routing email based on content
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モジュール
Routing email based on content
3 トピック
25 分
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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...
Service requests
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モジュール
Service requests
9 トピック
50 分
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This module shows you how to create service requests using the Customer Service Request Template. Learn about the purpose, customization options, and...
Training the email bot
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モジュール
Training the email bot
2 トピック
20 分
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Pega Email Bot uses natural language processing (NLP) to analyze and learn from patterns of conversation between customer service representatives...