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Webinar

Data Extraction, Transformation, Validation the Right Data Sources for Analysis

Tuesday, Feb. 25, 2025
6-7:55 p.m. Central
2 CPE (2 technical)

Course code: 24WA-765B
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In this course, we will explore the various types of data - both structured and unstructured - used in conducting fraud risk investigations and proactive monitoring. We will explore the various tools available on the market and techniques to confirm completeness and accuracy of the data before the analysis begins. The course will cover the process for selecting the right data sources to align with the various risks as well as pitfalls to avoid when preparing the data for analysis.

Major subjects

  • Understand various data types 
  • Structured vs. unstructured data
  • Completeness and validation testing
  • Selecting the right data sources for the job
  • Risks and pitfalls to avoid

Learning objectives

  • Understand various data sources available to accountants for use in forensic data analysis
  • Differences between structured vs. unstructured data
  • Various extract, transform and load tools an techniques available
  • How to select the right data sources for the job
  • Key risks and pitfalls to avoid

Who should take this program?

  • All accountants, internal audit, finance, investigators, compliance and risk professionals.   

Pricing

Standard Member Fee $79.00
checkmark Standard Nonmember Fee $79.00
Our records indicate you are a nonmember. If you register, you will be charged $79.00 (Standard Nonmember Fee). Members: Please log in to receive member fee.
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More program information

Instructor Vincent Walden, CFE, CPA
Location Online
Area
of study
Information technology
Field(s)
of study
Information Technology - Technical (1.0)
Specialized Knowledge - Technical (1.0)
Level Intermediate
Format Group Internet Based
Sponsor Business Professionals' Network, Inc.
NASBA ID#: 107810
Prerequisites Prereq. Introduction to Forensic Data Analytics
Advance
prep
None
Cancellation
policy
Receive a full refund if you cancel at least four business days before the event start date.
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