Electronic Data Analysis
Date: Tuesday, December 8, 2026
Instructor: Robert K Minniti
| Begin Time: |
11:00am Pacific Time
12:00pm Mountain Time
1:00pm Central Time
2:00pm Eastern Time |
| CPE Credit: |
2 hours for CPAs |
|
This online course provides a practical introduction to electronic data analysis and the essential skills needed to collect, evaluate, protect, and properly dispose of digital information. As organizations increasingly rely on electronic data—including financial records, operational information, and sensitive personal data—professionals must understand how to analyze both structured and unstructured datasets while maintaining strict ethical and security standards.
In this course, participants will explore the full data lifecycle: how information is gathered, how it should be secured, how to analyze it effectively, and how to dispose of it responsibly. The program covers modern data‑analysis methods, ethical considerations in data collection, data‑security requirements, and best practices for ensuring compliance with organizational policies and regulatory mandates. Real‑world examples help attendees understand the risks, opportunities, and challenges associated with electronic data analysis across a wide variety of environments.
Who Should Attend
This course is ideal for professionals who work with digital information or rely on data‑driven insights to support operations, auditing, compliance, or decision‑making.
Topics Covered
- Introduction to electronic data analysis and applied use cases
- How electronic data is collected, validated, and prepared for analysis
- Ethical and compliance considerations when gathering and using data
- Data‑security risks and requirements for safeguarding sensitive information
- Requirements and best practices for secure data disposal
- Techniques for analyzing structured data (tables, spreadsheets, databases)
- Approaches for analyzing unstructured data (emails, text, images, logs)
Learning Objectives
- Identify practical ways electronic data analysis can be used to support business decisions and risk monitoring
- Explain how electronic data is collected and the controls needed to protect data accuracy and integrity
- Apply best practices for secure data disposal in compliance with policy and regulatory requirements
- Recognize key data‑security requirements and common vulnerabilities that increase organizational risk
- Describe methods for analyzing structured and unstructured data to extract meaningful insights
Level
Basic
Instructional Method
Group: Internet-based
NASBA Field of Study
Auditing (2 hours)
Program Prerequisites
None
Advance Preparation
None
