Data Cleaning

PA GLOBAL – INTRODUCTION TO PANALATYCS – DATA CLEANING

“Introduction to PAnalytics & Data Cleaning” is a foundational session designed to equip audit and assurance professionals with the ability to prepare, structure, and validate financial data prior to audit analysis.

Data cleaning is a critical prerequisite for reliable audit procedures, ensuring that all subsequent analytics, sampling, and testing are based on complete, accurate, and consistent datasets.

PAnalytics provides an automated environment to ingest, consolidate, transform, and cleanse financial data, converting fragmented General Ledger sources into audit-ready datasets that support high-quality audit execution.

Key Learning Objectives

By the end of this session, participants will be able to:

• Understand the importance of data quality in audit procedures (ISA 500 Audit Evidence)
• Perform data ingestion and consolidation from multiple sources
• Apply data cleaning and transformation techniques
• Ensure data completeness, consistency, and traceability
• Configure matching and cleansing criteria appropriately
• Apply professional skepticism when cleaning data
• Prepare datasets for sampling, analytics, and journal entry testing
• Generate structured, audit-ready data outputs

Who Should Attend

This training is designed for:

• Audit and Assurance Professionals
• Audit Seniors and Managers
• Data Analytics Specialists
• Internal Audit and Risk Teams

Course Highlights

Participants will explore the following topics:

• Data Cleaning Fundamentals in Audit
• Data Ingestion & Consolidation
• Data Transformation & Standardization
• Traceability & Data Integrity
• Data Cleansing Techniques
• Professional Judgment in Data Cleaning
• Advanced Data Preparation Techniques
• Preparing for Downstream Audit Procedures

Prerequisites

• Basic understanding of auditing concepts
• Familiarity with General Ledger data
• No prior system or technical expertise required