Data Extraction, Transformation, & Validation: The Right Data Sources for Analysis
Friday, Dec. 27, 2024
3-4:55 p.m. Central
2 CPE (2 technical)
Course code: 24WA-1402
View pricing
- Saturday, Dec. 14, 2024 - Webinar
- Wednesday, Jan. 15, 2025 - Webinar
- Tuesday, Jan. 28, 2025 - Webinar
- Monday, Feb. 3, 2025 - Webinar
- Saturday, Feb. 15, 2025 - Webinar
- Tuesday, Feb. 25, 2025 - Webinar
- Monday, March 10, 2025 - Webinar
- Monday, March 24, 2025 - Webinar
- Tuesday, April 1, 2025 - Webinar
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
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Completeness and validation testing
-
Selecting the right data sources for the job
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Risks and pitfalls to avoid
Learning objectives
-
Understand various data sources available to accountants for use in forensic data analysis
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Differences between structured vs. unstructured data
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Various extract, transform and load tools an techniques available
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How to select the right data sources for the job
-
Key risks and pitfalls to avoid
Who should take this program?
- All accountants, internal auditers, finance professionals, investigators, compliance and risk professionals
Pricing
Standard Member Fee |
$79.00
|
Standard Nonmember Fee |
$79.00
|
Our records indicate
you are a
nonmember.
If you register, you will be charged
$79.00
(Standard Nonmember Fee).
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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
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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