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Course Information
Course Name
PAF: Performance Analytics Fundamentals
Duration
2 Days
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
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.
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
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
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
All ServiceNow certification courses are conducted by certified trainers from Iverson.
Digital Methods acts as the official training partner and assists with program consultation, registration, coordination, scheduling, and administrative arrangements to ensure a seamless and professionally managed training experience.
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