Module 1: Performance Analytics Introduction
Identify Performance Analytics key functionality, differences from operational reporting, roles, deployment, and key use cases.
Lab 1.1: Essential Concepts
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.
Module 3: Analytics Hub
Objectives: Learn about performing a detailed analysis and comparison of Indicator data using the Analytics Hub. View indicator data and statistical summaries, use Confidence and Prediction bands, understand Time series aggregations and Breakdowns, create and view Targets, Thresholds, and Comments.
Lab 3.1: Analytics Hub Navigation
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 4.1: 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 5.1: Automated Breakdowns
- Lab 5.2: 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 6.1: Formula Indicators
- Lab 6.2: Manual Indicators
Module 7: Displaying Actionable Data
Objectives: Discover how to refine Performance Analytics data to make it more meaningful and useful using Targets, Thresholds, Time Series, Trends, Breakdowns, and Elements Filters.
- Lab 7.1: Targets
- Lab 7.2: Thresholds
- Lab 7.3: Element Filters
Module 8: Widgets and Dashboards
Objectives: Build dashboards and add widgets to create a role-oriented dashboard. Explore Dashboard Administration, Responsive Canvas, adding Reports to dashboards and using Interactive filters, and In-Form (Context-Sensitive) Analytics.
- Lab 8.1: Dashboards and Widgets
- Lab 8.2: Data Filtering