Analytics & Unstructured Data: Harnessing the Power of Big Data for Investigations

Date:  Wednesday, May 21, 2014
Time:  11:30 a.m. – 12:30 p.m. Central time
Presenter:  Jeremy Clopton


In many investigations, computer forensics experts image and obtain data—much of it unstructured—from computers used by individuals who are part of the investigation. Investigations also might include data analytics experts who analyze transactional data. Using these experts together may help increase the effectiveness and efficiency of investigating unstructured data. In this webinar, we’ll look at the many tools and methods that occur when analytics and unstructured data are combined.

Learning Objectives

Upon completion of this webinar, participants will be able to:

  • Identify differences between structured and unstructured data
  • Discuss the Gartner Hype Cycle and how it relates to text mining
  • Identify six common components of text mining
  • Describe and define predictive coding
  • Locate synergies between computer forensics and data analytics and how they affect an investigation

CPE Information

Audience:  Attorneys, investigators, internal auditors and other individuals that would be looking to investigate potential fraud.
Program Level:  Overview
Delivery Method:  Group Internet-Based
Advance Preparation:  None
Prerequisites:  None
Refund Policy:  There is no fee associated with this webinar.FAQs


Contact Information 
If you have concerns or would like information regarding program cancellation policies or CPE credit, contact us at or 800.472.2745.


Jeremy specializes in providing fraud investigation and forensic data mining services. He assists with fraud investigations through a variety of tasks, including interviewing employees, obtaining evidence, examining documents, analyzing large data sets, estimating losses and presenting findings. Jeremy has experience in using both ACL and IDEA data analysis software for forensic data mining and continuous auditing.

Jeremy Clopton – who has written posts on BKD Forensics.

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