Cart 0
Training
Course Information
Course Name
PAF: Performance Analytics Fundamentals
Duration
2 Days
Overview
Audience Profile
Prerequisities
At Course Completion
Course Outline
Overview
Platform Analytics provides simple access to Key Performance Indicators (KPIs) and metrics for proactive business service improvement. In this two-day interactive technical training, attendees master the setup, configuration, and usage of the Platform Analytics application.
Overview
Overview
Platform Analytics provides simple access to Key Performance Indicators (KPIs) and metrics for proactive business service improvement. In this two-day interactive technical training, attendees master the setup, configuration, and usage of the Platform Analytics application.
Audience Profile
Audience Profile
This course is designed for Platform Analytics Administrators and Power Users who administer and create content for the Platform Analytics application. Service owners designing KPIs and Dashboard requirements for deeper service insight will also benefit from this course.
Prerequisities
Prerequisites
- A basic level of familiarity with the ServiceNow application is required. New ServiceNow users should complete the Welcome to ServiceNow – a self-paced introduction to the ServiceNow platform, interface, and navigation.
- Attendees should have completed the ServiceNow Administration Fundamentals course and have some experience with ServiceNow; advanced experience is not necessary.
- A high-level overview of the Platform Analytics architecture, components, data flow, stakeholders, and deployment process is required to get the most out of the Platform Analytics Fundamentals class. New Platform Analytics users should complete Platform Analytics Overview – a self-paced, on-demand eLearning before taking Platform Analytics Fundamentals.
At Course Completion
At Course Completion
- Identify Platform Analytics use cases, architecture, and deployment process
- Navigate KPI Details(formerly the Indicator Scorecard)
- Configure and monitor Data Collection jobs
- Build Automated Indicators to track KPIs
- Enhance Indicators with Breakdowns for detailed data navigation
- Build Formula Indicators for added process and service inferences
- Configure Targets and Thresholds to make process visualization actionable
- Build various Platform Analytics data visualizations
- Add filters to the dashboard and share with stakeholders
Course Outline
Course Outline
Module 1: Platform Analytics Introduction
Objectives
Identify Platform Analytics key functionality, differences from operational reporting, roles, deployment, and key use cases.
Lab work
- Lab 1.1.1: Platform Analytics Navigation
Module 2: Data Collection
Objectives
Learn the basics of data collection, job configuration, and best practices. Distinguish between daily and historic collection. Discuss data management and retention practices.
Lab work
- Lab 2.1.1: Data Collection
Module 3: Analytics Center
Objectives
Learn about performing detailed analysis and comparison of Indicator data using KPI Details. View indicator data and statistical summaries, use Confidence and Prediction bands, understand Time series aggregations and Breakdowns, and create and view Targets, Thresholds, and Comments.
Lab work
- Lab 3.1.1: Using Analytics Center and KPI Details
Module 4: Automated Indicators
Objectives
Configure Automated Indicators and Indicator Sources. Practice form-based and assisted Indicator creation using the built-in Indicator creation workflow.
Lab work
- Lab 4.1.1: Automated Indicators
Module 5: Automated Breakdowns
Objectives
Configure Breakdowns, Breakdown Sources, and Breakdown Mappings. Manage Breakdowns using the Breakdown Matrix and Breakdown Matrix exclusions.
Lab work
- Lab 5.1.1: Automated Breakdowns
- Lab 5.2.1: Managing Breakdowns
Module 6: Formula and Manual Indicators
Objectives
Learn about Manual Indicators and their use cases. Discuss manual breakdowns in the context of manual indicators. Learn about Formula Indicators and the basics of formula syntax.
Lab work
- Lab 6.1.1: Formula Indicators
Module 7: Displaying Actionable Data
Objectives
Discover how to refine Platform Analytics data to make it more meaningful and useful by using Targets, Thresholds, Time Series, Trends, Breakdowns, and Elements Filters.
Lab work
- Lab 7.1.1: Time Series and Elements
- Lab 7.2.1: Indicator Targets
- Lab 7.2.2: Indicator Thresholds
Module 8: Data Visualizations and Dashboards
Objectives
Build dashboards and add data visualizations to create a role-oriented dashboard. Explore Platform Analytics Experience components like Analytics Center and Library. Dig deeper into library components which include Dashboards and Data Visualizations.
Lab work
- Lab 8.1.1: Dashboards and Data Visualizations
- Lab 8.2.1: Dashboard Filters and Sharing Options
