FCPA Data Analytics

Registration & Breakfast

Pre-Conference Primer

Introduction to Data Analytics, What It Is and Isn’t! – and More Essential Concepts for Compliance, Monitoring, Reporting

Bryan Judice
Former Global Head of Compliance Data Analytics and Monitoring
Panasonic Corporation of North America (PNA)

Gina Salcedo Lannin
Senior Manager, Insights and Analytics
Takeda

Break through the noise and delve into what data analytics means, and how they can be applied in the real world. Don’t miss the opportunity to learn the essentials during this level-setting introductory session, as we lay the groundwork for the main conference discussions.

Part I: Terminology and Definitions

• What is and isn’t data analytics
• The difference between predictive modeling and predictive analytics, and how supervised learning and unsupervised learning factor in
• Delineating between Machine Learning, Artificial Intelligence and predictive analytics
• How data mining has different meanings in different contexts, and when it is applied to text mining

Part II: Applications and Practices

• Establishing what you want to accomplish from developing your program-and what is achievable based on your organization, industry and budget
• Identifying your data sources and resources
• Using qualitative versus quantitative data
• Monitoring and reporting essentials

Part III: Predicting

• Identifying red flags and trends
• When does analytics jump from identifying to predicting bribery and corruption?

Opening Remarks from the Co-Chairs

Tara Palesh
Senior Director, Compliance Analytics CoE Lead
Pfizer

Rayne Towns
Global Head, Risk & Monitoring
Nokia

Fireside Chat

U.S. Department of Justice Expectations: What Industry is Doing Right and Wrong on Data Analytics

Matt Galvin
Counsel, Compliance & Data Analytics
U.S. Department of Justice

Moderated by:

Zachary N. Coseglia
Co-Founder and Managing Principal
R&G Insights Lab

During this session, gain invaluable DOJ insights on the requirements and expectations for data-driven compliance and monitoring programs. Discover how the DOJ is defining data analytics, what they are looking for during investigations, trends in enforcement and what is considered a good-faith effort by companies.

• Ensuring that data feeds and monitoring tools are working in real time
• Developing processes for determining if an internal investigation is necessary and any additional action
• Identifying which transactions to monitor and how to monitor them, including gifts and donations
• Deciding which pre-approval systems need to be set up before rolling out a monitoring program

Networking Break

DATA ANALYTICS PROGRAM BEST PRACTICES

Building, Scaling and Implementing Your Data Analytics Program

Phanii Pydimarri
Head of Data & Analytics Partnerships
Health Care Service Corporation (HCSC)

Tara Palesh
Senior Director, Compliance Analytics CoE Lead
Pfizer

Victoria Lane
Head of Ethics and Compliance
Pilgrim’s

How do you really know if your data analytics program is well designed? Are you able to connect data across your entire organization, and have a holistic view of risk, instead of a siloed one? And, is the program being applied “earnestly and in good faith” as stated in the U.S. Department of Justice, Criminal Division, 2023 update.

This session will outline the newest lessons for building, scaling and implementing your program with DOJ Guidance at the core. Key takeaways for this session include:

• Build it or buy it? Determining whether to build a program in-house or purchase an external product/solution
• Behind the scenes of the strategy and methodology for building a program from scratch
• Ensuring the datasets are equal
• Getting the data, building the data and doing the analysis
• Ensuring “scalability” when you have built the infrastructure
• How to build it, how to make it useful
• The Pros and Cons of building a custom system versus buying an off-the-shelf solution

Data Collection and Integrity

How to Know If You Are Capturing Clean Data: Assessing Quality, Accuracy, Consistency and Relevance

Gina Salcedo Lannin
Senior Manager, Insights and Analytics
Takeda

Zachary Opperman, CFE
Director, Risk Management
Capital One

David Yanofsky
Manager, Data Visualization
R&G Insights Lab

What does good data look like? Join this session as speakers review real-world examples of data-output reports, discuss how to assess the data, and whether a program is capturing the right data.

• Identifying inconsistent data and missing data, what data is important, and what is being captured accurately (and not)
• Implementing periodic reviews and scrubbing data, including updating and standardizing datasets across systems
• Acquiring and accessing significant industry data for your company and sector
• Gaining access to data and how to engage with relevant stakeholders such as owners of relevant systems

Networking Luncheon

FOCUS ON MONITORING

Implementing an Integrated Data-Driven Monitoring System

Aditya Yerramilli
Office of Compliance & Integrity (OCI), Lead, Controls, Monitoring & Technology (CMT)
Google

Bryan Judice
Former Global Head of Compliance Data Analytics and Monitoring
Panasonic Corporation of North America (PNA)

Andy Miller
Chief Analytics Officer
Lextegrity

A data-driven compliance program requires integration between multiple systems, databases, and different parts of the business. However, integrating monitoring tools to retrieve data from multiple sources can be difficult to set up. Delegates will gain insight from case study examples of how to monitor data, and learn how to create a fluid and adaptable program.

Key takeaways for this session:

• Effective ways to automate, including when your company has multiple, different systems
• Evaluating how monitoring changes when you have a small localized team versus a larger global team
• Ensuring that data feeds and monitoring tools are working in real time
• Developing processes for determining if an internal investigation is necessary and any additional action
• Identifying which transactions to monitor and how to monitor them, including gifts and donations
• Deciding which pre-approval systems need to be set up before rolling out a monitoring program

DATA ANALYTICS “JOURNEYS”

A “Then and Now” Look at How Companies have Launched and Upgraded their Data Analytics Programs: Critical Lessons – Whether You Are Getting Started or Off and Running

Rayne Towns
Global Head, Risk & Monitoring
Nokia

Nathan Opheim
Director, Legal Compliance - Controls, Data & Analytics
Cisco Systems, Inc.

Hear industry professionals share their companies’ journeys to data analytics compliance, including what prompted their decision-making, and how they are aligning data analytics programs with DOJ Guidance.

Topics will include:

• Past, Present and Future: A closer look at where the companies started, how the program was scaled and how it has evolved
• Implementing a data analytics program based on a government settlement agreement vs. none
• Gaining senior management buy-in and resources

Networking Break

ChatGPT AI ML AND PREDICTIVE ANALYTICS

Fact v. Fiction on How to Achieve Accurate Risk Scoring and Real-Time Detection

Jared Crafton
Forensic Technology Practice Leader
BDO

Vincent Walden
CEO
Kona AI - Data Driven Compliance

This session will delve into the current application and best ways to leverage artificial intelligence, predictive analytics and machine learning for effective FCPA compliance and monitoring. Is it just risk scoring, or can we see suspicious transactions happening in real time, and furthermore, what is the capability (and limits) of predictive analytics?

• How Machine Learning can support the analytics program, including automation and implementation
• Advanced capabilities for processing large sets of data and finding anomalies
• Training your AI to find anomalies
• Pros and cons of using ChatGPT for writing analytic code and generating test data
• Testing for errors in the code
• Gathering and using customer information from Chatbots

RISK PROFILE

Resources and Risk: Re-Evaluating Your Risk Profile for Better Resource Allocation and Data Analytics Program Effectiveness

Zachary Opperman, CFE
Director, Risk Management
Capital One

Eugene F. Soltes
Founder, Integrity Lab; McLean Family Professor of Business Administration
Harvard Business School

Rayne Towns
Global Head, Risk & Monitoring
Nokia

In accordance with the U.S. Department of Justice’s guidance, corporate compliance programs must be tailored to each company’s unique challenges and be able to address all Key Risk Indicators (KRIs) identified. This session will examine best practices for identifying the threats and developing your risk profile.

• Identifying Key Risk Indicators (KRI), and delineating between real risk and potential risk
• Flagging false risk factors and mis-categorization of transactions
• Developing risk logic, including when there is (and isn’t) a lot of data to access

Closing Remarks from the Conference Co-Chairs

Networking Cocktail Reception and Registration for FCPA Conference