Analyze and Automate Splunk Reporting with Data Models

By the end of this course, learners will be able to automate Splunk reports, design interactive dashboards, apply reusable macros, build structured data models, and generate high-performance visual analytics using pivots and acceleration techniques. This course provides a comprehensive, hands-on pathway for mastering Splunk reporting and data modeling beyond basic search usage. Learners will gain practical skills to schedule and manage reports, create dynamic dashboards, and standardize search logic using macros. Through structured lessons on data models, attributes, lookups, and hierarchies, participants will learn how to simplify complex data and enable self-service analytics for stakeholders. What makes this course unique is its end-to-end, job-focused approach. Instead of isolated features, learners experience how reports, dashboards, macros, data models, and pivots work together in real-world scenarios. Performance optimization through data model acceleration and instant pivots ensures learners can deliver insights quickly and efficiently. By completing this course, learners will improve operational visibility, reduce repetitive work, and confidently design scalable Splunk solutions—making them more effective analysts, engineers, and Splunk power users

• Automate Splunk reports and build interactive dashboards for actionable visual analytics
• Create reusable macros and structured data models to simplify and standardize Splunk searches
• Optimize analytics performance using pivots and data model acceleration techniques

• Basic computer and internet skills helpful
• Ability to read English instructions and complete short exercises