Difference between revisions of "PE-GPR/9.0.0/Help/Reports"
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|Context=Genesys Predictive Routing (GPR) provides a number of ways to assess the quality of your data within the application interface. This includes being able to dig into details about your agents and customers, test how well a predictor is scoring against specific customers, and delve into your dataset data. The '''Datasets''' tab also provides the {{Link-SomewhereInThisManual|topic=FAReport|anchor=top|display text=Feature Analysis}} and {{Link-SomewhereInThisManual|topic=AgtVarReport|anchor=top|display text=Agent Variance}} reports. | |Context=Genesys Predictive Routing (GPR) provides a number of ways to assess the quality of your data within the application interface. This includes being able to dig into details about your agents and customers, test how well a predictor is scoring against specific customers, and delve into your dataset data. The '''Datasets''' tab also provides the {{Link-SomewhereInThisManual|topic=FAReport|anchor=top|display text=Feature Analysis}} and {{Link-SomewhereInThisManual|topic=AgtVarReport|anchor=top|display text=Agent Variance}} reports. | ||
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| − | The top navigation bar enables access to the following windows: | + | The top navigation bar enables access to the following windows, which display various trends and performance metrics: |
| − | {{Link-SomewhereInThisVersion|manual=Help|topic=AgentsPage|display text=Agents}} | + | {{Link-SomewhereInThisVersion|manual=Help|topic=AgentsPage|display text=Agents}} - view agent distribution and details |
| − | {{Link-SomewhereInThisVersion|manual=Help|topic=CustomersPage|display text=Customers}} | + | {{Link-SomewhereInThisVersion|manual=Help|topic=CustomersPage|display text=Customers}} - view customer distribution and details |
| − | {{Link-SomewhereInThisVersion|manual=Help|topic=DatasetsPage|display text=Datasets}} | + | {{Link-SomewhereInThisVersion|manual=Help|topic=DatasetsPage|display text=Datasets}} - view dataset trends and details |
| − | {{Link-SomewhereInThisVersion|manual=Help|topic=Analysis|display text=Predictors}} | + | {{Link-SomewhereInThisVersion|manual=Help|topic=Analysis|display text=Predictors}} - monitor feature coverage and simulate predicted predictor performance against your actual customers and agents |
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Revision as of 15:35, May 26, 2020
This topic is part of the manual Genesys Predictive Routing Help for version 9.0.0 of Genesys Predictive Routing.
Read this topic for other versions:
Genesys Predictive Routing (GPR) provides a number of ways to assess the quality of your data within the application interface. This includes being able to dig into details about your agents and customers, test how well a predictor is scoring against specific customers, and delve into your dataset data. The Datasets tab also provides the Feature Analysis and Agent Variance reports.
- Other data analysis functionality available in the GPR web application: Model Quality and Agent Coverage.
- The Genesys Reporting solution provides in-depth feature-rich reporting on scoring, interaction handling, outcomes, and so on. See Integrate with Genesys Reporting for more information.
Related documentation:
The top navigation bar enables access to the following windows, which display various trends and performance metrics:
Agents - view agent distribution and details
Customers - view customer distribution and details
Datasets - view dataset trends and details
Predictors - monitor feature coverage and simulate predicted predictor performance against your actual customers and agents
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