Meet Your Host: Claire Worledge
Claire Worledge is a leading expert in SAP data analytics for internal audit, dedicated to empowering audit professionals with practical skills and insights.
Working in audit with SAP? Let’s turn data into insights.
This is your moment.
The SAP Data Analytics Master Class is the fastest way to become confident, skilled, and strategic with SAP data — no coding required.
Master These Skills to Transform Your SAP Audits
Over just 3 months, you’ll gain hands-on, practical expertise in SAP data analytics—purpose-built for internal audit, control, and finance professionals.
The curriculum is immersive, realistic, and focused on real audit scenarios you can apply immediately.
Learn to structure and clean SAP data so it’s ready for Artificial Intelligence, enabling faster risk detection and automated insights without extra manual work.
Use built-in AI agents for each dashboard to explain patterns, suggest queries, and answer data questions—helping you audit deeper and with greater confidence.
Identify suspicious transactions and anomalies in SAP financial and operational data using proven analytical techniques trusted by top audit teams.
Use 300 ready-to-go SAP dashboards to instantly link your data to control weaknesses and audit-risk indicators—no technical setup required.
Turn raw SAP data into clear, compelling visuals that management and audit committees can instantly understand.
Get introduced to Python in a way that makes sense for auditors. Use simple scripts to prepare data, run analyses, and generate repeatable audit tests.
By the end of the Master Class, you’ll have an AI-powered audit toolkit—and the confidence to use it—ready to deliver immediate impact in your organization.
What’s included
This 3-month, live online Master Class gives internal audit, control, and finance professionals practical SAP analytics skills through realistic, scenario-based training—no fluff, just tools that work.
Why Join?
In just 3 months from now, you could either be:
or
Join the Master Class to:
Key Dates
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