Data Mining and Predictive Analytics are the words that should be on everyone’s mind in today’s complex world. With overwhelming transactional and unstructured data, identifying inappropriate and suspicious transactions in order to detect and prevent fraud could be challenging. Data Mining and Predictive Analytics are robust tools that CFEs can employ to detect patterns of fraud and potentially prevent fraud from occurrence. Using historical transactional data, statistical, and quantitative analysis, companies and government entities can identify transactions that exhibit signs of fraud and take actions without incurring loss due to fraud.
What tools and models can be used? What opportunities do CFE practitioners have with data mining and predictive analytics during their engagements? How can these data be presented in an easy and understandable format?
You will learn the answers to these questions by attending this training. Leading data mining and predictive analysts will provide insights into the data analytics realm. Additional topics of discussion include current practitioners’ aspects in conducting investigations and forensic audits utilizing geospatial analytics and data visualization techniques to effectively compare various data and communicate key findings.
Join us on March 5, 2012 for training session worth 5 hours CPE credits.
Key topics to be discussed will be:
- Data mining and predictive analytics
- Geospatial analytics and data visualization
- Data analytics during investigations
Who should attend:
- Certified Fraud Examiners and other anti-fraud specialists
- Special investigation unit personnel
- Forensic accountants and auditors
- Internal and independent auditors
- Criminal investigators from local, state and federal agencies
- Internal and independent auditors, lawyers, prosecutors and other professionals
DATE: Monday –Mach 5, 2012
TIME: 8:00AM – 1:30PM (training starts promptly at 8:30AM)
LOCATION: D.C. Bar Conference Center
1101 K Street, NW (corner of 12th and K Street)
Washington, DC 20005-4210
COST: (includes breakfast and lunch)
- Chapter Members $45
- Non Chapter Members $55
CPE Credits: This course offers an opportunity to earn five (5) continuing professional education credits.