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ServiceNow Platform Analytics (PA) Advanced
Code:
SNPAA
Duration:
2 Day
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$1900
USD
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Performance Analytics enables the monitoring, trending, and proactive improvement of business services using key performance indicators (KPIs) and metrics viewed in role-based dashboards.
This 2-day training builds upon the knowledge obtained in the Performance Analytics Fundamentals course. Here you continue to build a solid analytics data foundation, model key business process indicators, and design compelling dashboards to help drive service delivery quality and efficiency.
This course is available in the following formats:
Duration: 2 Day
Duration: 2 Day
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Delivery Format: Virtual Classroom
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$ 1900 |
|
|
Delivery Format: Virtual Classroom
|
$ 1900 |
|
|
Delivery Format: Virtual Classroom
|
$ 1900 |
|
|
Delivery Format: Virtual Classroom
|
$ 1900 |
|
|
Delivery Format: Virtual Classroom
|
$ 1900 |
|
|
Delivery Format: Virtual Classroom
|
$ 1900 |
|
|
Delivery Format: Virtual Classroom
|
$ 1900 |
|
|
Delivery Format: Virtual Classroom
|
$ 1900 |
The following topics are discussed using a mix of labs and lecture:
- Review the Performance Analytics Adoption Journey
- Build Bucket Groups and Breakdown Relations
- Configure Scripts for Indicator Aggregates, Buckets, and Mappings
- Apply advanced reporting techniques for impactful data summaries
- Launch and navigate Interactive Analysis
- Apply Spotlight to identify high priority work
- Build Indicators using Platform Metrics
- Implement advanced formula techniques and build Index Indicators
- Set up Text Analytics
Module 1: Adoption Journey
Objectives: Review the Performance Analytics use case and stakeholder objectives. Identify the three pillars of Performance Analytics: Responsive Business, Service Improvement, and Data Foundation.
Lab work:
- Lab 1.1: Analytics for Business Applications
Module 2: Buckets and Scripts
Objectives: Introduce the concept of bucket groups and the process for configuring a bucket group as a breakdown source. Discuss scripts and configure a scripted breakdown mappings. Outline best practices for breakdown data growth management.
Lab work:
- Lab 2.1: Bucket Groups
- Lab 2.2: Scripted Breakdown
Module 3: Breakdown Relations and Security
Objectives: Implement advanced use cases for Breakdown categorization and navigation. Configure Indicator, Breakdown, and Breakdown Element-level security options.
Lab work:
- Lab 3.1: Breakdown Relations
- Lab 3.2: Breakdown Security
Module 4: Reporting Techniques
Objectives: Build a Database View, include multi datasets in a report, configure drill-downs, add a Redirect URL, leverage an imported Excel document as a report source, and build Report Ranges
Lab work:
- Lab 4.1: Database View
- Lab 4.2: Multi Data Sets
- Lab 4.3: Data Sources
- Lab 4.4: Report Ranges
Module 5: Responsive Dashboards
Objectives: Use Interactive Analysis, Configure Interactive Filters, Implement Cascading Filters, Enable Breakdown Dashboards, Use Breakdowns as Interactive Filters, Manage Dashboard Performance and Properties
Lab work:
- Lab 5.1: Interactive Dashboards
- Optional Lab 5.2: Interactive Analysis
Module 6: Spotlight
Objectives: Identify key Spotlight capabilities, configure Spotlight Criteria, implement Spotlight reporting, set up Spotlight for Service Monitoring, navigate Spotlight Interactive Analysis
Lab work:
- Lab 6.1: Configure Spotlight for Incident Management
Module 7: Analytics on Platform Metric
Objectives: Define Metric Definitions and Metric Instances, review the Metric Instance generation, configure Metric Instance Reporting, build Metric-based Automated Indicators
Lab work:
- Lab 7.1: Metric Reporting and Trending
Module 8: Advanced Formula Indicators
Objectives: Identify advanced formula use cases, master Formula Indicator techniques and design Index Indicators
Lab work:
- Lab 8.1: Index Indicators
Module 9: Text Analytics
Objectives: Describe the Text Analytics use case. Configure Text Analytics for Performance Analytics Indicators.
Lab work:
- Lab 9.1: Text Analytics
Module 1: Adoption Journey
Objectives: Review the Performance Analytics use case and stakeholder objectives. Identify the three pillars of Performance Analytics: Responsive Business, Service Improvement, and Data Foundation.
Lab work:
- Lab 1.1: Analytics for Business Applications
Module 2: Buckets and Scripts
Objectives: Introduce the concept of bucket groups and the process for configuring a bucket group as a breakdown source. Discuss scripts and configure a scripted breakdown mappings. Outline best practices for breakdown data growth management.
Lab work:
- Lab 2.1: Bucket Groups
- Lab 2.2: Scripted Breakdown
Module 3: Breakdown Relations and Security
Objectives: Implement advanced use cases for Breakdown categorization and navigation. Configure Indicator, Breakdown, and Breakdown Element-level security options.
Lab work:
- Lab 3.1: Breakdown Relations
- Lab 3.2: Breakdown Security
Module 4: Reporting Techniques
Objectives: Build a Database View, include multi datasets in a report, configure drill-downs, add a Redirect URL, leverage an imported Excel document as a report source, and build Report Ranges
Lab work:
- Lab 4.1: Database View
- Lab 4.2: Multi Data Sets
- Lab 4.3: Data Sources
- Lab 4.4: Report Ranges
Module 5: Responsive Dashboards
Objectives: Use Interactive Analysis, Configure Interactive Filters, Implement Cascading Filters, Enable Breakdown Dashboards, Use Breakdowns as Interactive Filters, Manage Dashboard Performance and Properties
Lab work:
- Lab 5.1: Interactive Dashboards
- Optional Lab 5.2: Interactive Analysis
Module 6: Spotlight
Objectives: Identify key Spotlight capabilities, configure Spotlight Criteria, implement Spotlight reporting, set up Spotlight for Service Monitoring, navigate Spotlight Interactive Analysis
Lab work:
- Lab 6.1: Configure Spotlight for Incident Management
Module 7: Analytics on Platform Metric
Objectives: Define Metric Definitions and Metric Instances, review the Metric Instance generation, configure Metric Instance Reporting, build Metric-based Automated Indicators
Lab work:
- Lab 7.1: Metric Reporting and Trending
Module 8: Advanced Formula Indicators
Objectives: Identify advanced formula use cases, master Formula Indicator techniques and design Index Indicators
Lab work:
- Lab 8.1: Index Indicators
Module 9: Text Analytics
Objectives: Describe the Text Analytics use case. Configure Text Analytics for Performance Analytics Indicators.
Lab work:
- Lab 9.1: Text Analytics
This course is designed for experienced Performance Analytics Administrators and Power Users who already administer and build content for the Reports and Performance Analytics applications.