Learning Objectives
After completing this ACL training, participants will be able to:
- Understand core data concepts (files, records, fields, and data types) within ACL data analytics
- Navigate and use the ACL Analytics environment effectively
- Import data from various sources (Excel, PDF, databases, and others) as part of data analytics training
- Perform data preparation and data integrity testing
Conduct basic data analysis using ACL analytics training techniques, including:
- Filtering and sorting
- Duplicate and gap detection
- Summarization and classification
- Develop reports and visualize analysis results to support audit and risk insights
Durations : 3 working days
Key Topics
This ACL data analytics training program is designed to provide a comprehensive understanding — from fundamental data concepts to practical analysis and reporting techniques using ACL.
Data Concepts & Data Structure
Understand data structures, field types, and how data is organized and utilized within ACL data analytics processes.
Importing Data
Learn how to import data from multiple sources such as Excel, PDF, and databases into ACL Analytics as part of structured data analytics training.
Data Preparation & Validation
Prepare and validate data to ensure accuracy and reliability before performing further analysis in ACL training.
Data Analysis Techniques
Perform core analytical procedures such as filtering, sorting, and anomaly detection using ACL analytics training methodologies.
Reporting & Visualization
Present analysis results through structured, clear, and easy-to-understand reports, aligned with data analytics training for audit and risk.
Introduction to ACL Scripting
Gain basic knowledge of ACL scripting to support automation in ACL data analytics and improve efficiency in audit processes.