Tag: Data Analytics

31 Days to More Effective Compliance Programs

One Month to a More Effective Compliance Program Through Data Analytics: Day 3 – Building An Effective Data Analytics Program

Post author By admin
Post date December 5, 2023
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Chief Compliance Officers (CCOs) are increasingly turning to data analytics programs to enhance their compliance efforts. These programs leverage the power of data to identify risks, monitor activities, and detect potential compliance violations. There are several key factors that impact the success of building out data analytics programs. One crucial aspect is the need to define the risks that organizations want to monitor. By identifying the specific risks, compliance officers can focus their data analytics efforts on gathering relevant data and analyzing it to gain insights into potential compliance issues. This process involves thinking innovatively and finding creative ways to capture data that may not be immediately obvious.

Building effective data analytics programs for compliance enhancement requires careful consideration of various factors. Compliance officers must define the risks they want to monitor, identify valuable data sources, and think innovatively to capture relevant data. Leveraging internal expertise and fostering collaboration between different departments is essential for successful implementation. By starting small and gradually expanding their capabilities, organizations can demonstrate their commitment to using data analytics and gain compliance expertise. Ultimately, these programs enable companies to enhance their compliance effectiveness and mitigate risks effectively.

Three key takeaways:

1. There are multiple factors in the design, creation, and implementation of a data-driven compliance program.

2. A data-driven approach will allow a shift of the focus from individual policy violations to identifying systemic issues.

3. Compliance officers should focus on how to begin and gradually build their capabilities.

Check out the month’s sponsor, KonaAI here.

Tags CCO, compliance, Data Analytics, KonaAI

31 Days to More Effective Compliance Programs

One Month to a More Effective Compliance Program Through Data – Driven Compliance: Day 1 – Introduction to Data – Driven Compliance

In the world of compliance, data analytics and monitoring have become increasingly important. The Department of Justice (DOJ) has emphasized the significance of effective compliance programs, highlighting the role of data analytics and technology-driven approaches. Data-driven compliance helps companies gain insights into their data for informed decisions and improved compliance culture. Data-driven compliance should be designed to identify hidden money, prevent improper payments, and improve business efficiency. A key is the ability to facilitate collaboration and data sharing without compromising privacy or security, thereby enhancing the performance of predictive models.

In the Albemarle FCPA enforcement, the DOJ said for the first time that data-driven compliance is now a part of the requirements of an effective compliance program. By leveraging data and data analytics, compliance professionals more effectively manage risks, improve compliance culture, investigate issues, and ultimately keep companies out of trouble. Additionally, a robust data analytics platform will also contribute to making the business better by identifying hidden money, stopping improper payments, and enhancing overall business efficiency.

By leveraging data analytics, companies can identify hidden money, prevent improper payments, and enhance overall business efficiency. In today’s regulatory environment, the risk of not adopting data-driven compliance approaches is high, making solutions essential for companies seeking to stay compliant and improve their business practices.

Three key takeaways:

1. The DOJ identified data analytics as a part of a best practices compliance program in the Albemarle FCPA enforcement action.

2. Data-driven compliance allows companies to access their data, search vendors, analyze transactions, run corruption and fraud tests, and even evaluate predictive models.

3. Data-driven compliance should be designed to identify hidden money, prevent improper payments, and improve business efficiency.

For more information on KonaAi, click here.

Tags CCO, compliance, Data Analytics, data driven compliance, KonaAI

31 Days to More Effective Compliance Programs

One Month to a More Effective Compliance Program Through Innovation: Day 9 – The Competitive Advantage of Data

Post author By admin
Post date October 12, 2023
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The DOJ and SEC have both made it clear that they expect companies to be more robust in their use of data analytics in compliance programs. This means using data not only to detect and prevent illegal conduct but also in the remediation prong of any best practices compliance program through continuous improvement. In 2019, former Deputy Assistant Attorney General Matthew Miner said in a speech that the DOJ will inquire whether compliance departments have access to internal data that could help them identify misconduct and whether compliance officers make adequate use of data analytics in their reviews of companies under investigation. Since at least 2016, in the FCPA enforcement action involving Key Energy Services, Inc., the SEC has been communicating to compliance professionals the need for increased use of data and data analytics in any compliance program.

The bottom line is that it is not if but when you begin to incorporate corporate information into your compliance program to make your compliance program more efficient, and your business process run more effectively. Let’s start now to identify the data you have access to and the data to which you currently do not have access. Find a way to bridge that gap.

Three key takeaways:

DOJ pronouncements mandate CCO availability to and use of data.
Data can be an actionable solution across geographic and business lines.
Use data as a business strategy.

For more information, check out The Compliance Handbook, 4th edition, here.

Tags CCO, compliance, Data Analytics, data as fuel

Data Driven Compliance

Data Driven Compliance: Rachael Ormiston on Privacy as a Business Differentiator

Post author By admin
Post date September 19, 2023
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Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, is a podcast featuring an in-depth conversation around the uses of data and data analytics in compliance programs. Data Driven Compliance is back with another exciting episode The intersection of law, compliance, and data is becoming increasingly important in the world of cross-border transactions and mergers and acquisitions.

We take things in a data privacy direction today as I visit with Rachael Ormiston, Head of Privacy at Osano, whose No Penalties Pledge sets them apart in the privacy industry, offering customers assurance that they won’t face fines for non-compliance. In conversations with Tom Fox, Rachael Ormiston discusses the importance of privacy as a business differentiator and the impact of GDPR. Trust is highlighted as crucial for building a positive customer experience. Osano has developed a privacy maturity model to help companies assess their progress and prioritize compliance. Their website offers valuable resources, catering to both experts and beginners in the field. Rachael emphasizes the increasing importance of data privacy and the need for companies to prioritize it at the executive level.

Highlights Include

· Osano’s No Penalties Pledge

· Privacy as a Business Differentiator

· The Importance of Privacy Compliance

· Data Privacy and Free Resources

Resources:

Osano

Tom Fox

Connect with me on the following sites:

Tags Data Analytics, Data Privacy, Osano, Rachel Ormiston

Data Driven Compliance

The Uses of Data Driven Compliance: Part 5 – Compliance Successes Using Data Driven Compliance

Post author By admin
Post date September 15, 2023
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Welcome to Data Driven Compliance. In this podcast, we discuss how to use data to improve and enhance the effectiveness of your compliance program, creating greater business efficiency, all leading to more return on investment for your compliance regime. Join host Tom Fox as he explores how data will drive your compliance program to the next level. This podcast is sponsored by KonaAI.

I recently had the opportunity to visit with Vince Walden, founder and CEO of KonaAI, for a podcast series on the uses of data driven compliance. Over these five podcasts, we have discussed generative AI and ChatGPT in compliance, the profiles of a corrupt payment, making the business case for data-driven compliance, what to ask for and how to ask for it, and some success stories. In this concluding Part 5, we will look at some compliance successes using a data driven approach.

In the world of business, compliance is a critical aspect that ensures organizations adhere to legal and ethical standards. Compliance not only helps companies avoid legal troubles but also plays a significant role in improving business efficiency and profitability. In this episode, Tom and Vince considered the advanced compliance tools for fraud detection and cost savings. Our discussion entailed a comprehensive analysis of the key factors that impact advanced compliance tools for fraud detection and cost savings, exploring the tradeoffs involved, the challenges faced, and the importance of considering the impact on decision-making.

Key Highlights:

Invoice Price Discrepancy Detection and Recovery
Compliance-driven Efficiency through Fraud Risk Analysis
Shifting Travel Expenses for Manufacturing Observations
Integrating Multiple Data Sources for Fraud Detection

Resources:

Connect with Vince Walden on LinkedIn

Check out Kona AI

Connect with Tom Fox on LinkedIn

Tags CCO, compliance, Data Analytics, data driven compliance, KonaAI, Vince Walden

Data Driven Compliance

The Uses of Data Driven Compliance: Part 4 – What to Ask For and How to Ask For It

Post author By admin
Post date September 14, 2023
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I recently had the opportunity to visit with Vince Walden, founder and CEO of KonaAI, for a podcast series on the uses of data driven compliance. Over these five podcasts, we will discuss generative AI and ChatGPT in compliance, the profiles of a corrupt payment, making the business case for data-driven compliance, what to ask for and how to ask for it, and some success stories. In Part 4, we discuss what data a CCO needs to ask for and how to do so.

Vince Walden brings knowledge and experience in continuous compliance monitoring and risk assessment processes. Walden’s perspective on the topic is that it should be approached as a journey, not a one-time program. He emphasizes the importance of proactive risk assessments and continuous monitoring, advocating for an iterative approach demonstrating constant improvement in compliance efforts. This perspective is shaped by his belief that meeting regulatory expectations requires a diligent and ongoing commitment to improvement.

Walden also suggests that data sources should be identified based on the results of the fraud risk assessment and that the ease of obtaining the data should be considered when prioritizing analytics projects. To delve deeper into what data a CCO should ask for and how to ask for it, join Tom Fox and Vince Walden on this Data Driven Compliance podcast episode.

Key Highlights:

Continuous improvement through risk assessments and monitoring
Effective risk assessment through diverse data sources
Uncovering hidden relationships through expense categories

Resources:

Connect with Vince Walden on LinkedIn

Check out Kona AI

Connect with Tom Fox on LinkedIn

Tags CCO, compliance, Data, Data Analytics, Data Siloes, KonaAI, Vince Walden

Blog

What Data to Ask For and How to Ask for It

Post author By admin
Post date September 14, 2023
No Comments on What Data to Ask For and How to Ask for It

I recently had the opportunity to visit with Vince Walden, founder and CEO of KonaAI, for a podcast series on the uses of data driven compliance. KonaAI is the sponsor of those podcasts. This blog post series will flesh out the podcast show notes over the next five blog posts, and we will discuss generative AI and ChatGPT in compliance, the profiles of a corrupt payment, making the business case for data-driven compliance, what to ask for and how to ask for it and some success stories. In Part 4, we will explore what data to ask for and how to ask for it.

As always, I am joined by Vince Walden, founder and CEO of KonaAI. There is a quiet revolution happening in the realm of compliance. It’s one that, if harnessed correctly, can turn a typically reactive process into a proactive strategy. I am, of course, talking about data-driven compliance. By using the vast amounts of data your organization collects, you can uncover potential compliance risks before they become actual problems. This approach can be a game-changer for your role as a compliance officer and your organization’s overall risk management strategy. No longer will you be caught off guard. Instead, you’ll lead the charge with real-time insights and actionable data.

Imagine a world where compliance isn’t a headache but a strategic advantage. You’re not constantly putting out fires but predicting and preventing them. It might sound like a dream, but it doesn’t have to be. How so? Well, by adopting a data-driven approach to compliance. This innovative method allows you to identify, assess, and manage potential compliance risks based on actual data. It’s about staying one step ahead, making informed decisions, and truly adding value to your organization. It’s not just about avoiding penalties and meeting regulations anymore. It’s about creating an environment of continuous improvement and proactive risk management.

Let’s paint a picture. You’re in a game of chess. But in this game, you’re not just reacting to your opponent’s moves. You’re anticipating them, strategizing, and making proactive decisions. That’s the power a data-driven approach to compliance can bring to your role as a compliance officer. It’s more than just crunching numbers and keeping up with regulations. It’s about leveraging the power of data to identify and mitigate risks before they materialize. It’s about transforming compliance from a cost center into a strategic asset. So, if you’re curious about how to make this data-driven shift, buckle up because we’re about to dive deep into this transformative realm.

Compliance monitoring and risk assessment are crucial components of any effective compliance program. In a recent episode of the podcast “Data Driven Compliance,” hosted by Tom Fox and featuring Vince Walden, the topic of continuous compliance monitoring and risk assessment process was explored in depth. This article aims to comprehensively analyze the critical factors that impact this process, discuss the tradeoffs involved in balancing different factors, and explore the challenges associated with other approaches.

Vince highlighted the importance of starting with a fraud risk assessment. This initial step allows organizations to identify high-frequency and high-impact risks and implement mitigating controls. Compliance professionals can prioritize their efforts and focus on the most critical areas by assessing the likelihood and impact of various risks on a scale of one to ten.

Data sources play a crucial role in risk assessment. Financial accounting systems and third-party data are valuable sources of information for identifying and mitigating risks. Tracking and categorizing expenses in accounting systems is significant for identifying anomalies and assigning risk scores. Vince highlighted the significance of having a centralized system, such as the Kona platform, to streamline this process.

However, relying solely on analytics without integrating them into the fraud risk assessment would be best. He emphasized the need for alignment between data analysis and risk assessment to ensure efforts are focused on addressing the identified risks. Simply conducting data analytics without considering the underlying risks may not yield meaningful results.

One of the challenges in continuous compliance monitoring and risk assessment is the availability and accessibility of data. Some data sources may need help, requiring compliance professionals to prioritize based on the ease of data acquisition and its value. For example, if faced with choosing to conduct a data analytics project in Brazil or China, Walden suggested starting with Brazil due to the relative ease of obtaining data from that region.

Another challenge lies in the scope of compliance monitoring. Walden emphasized that compliance monitoring is not a one-time, all-encompassing effort. It is a journey that involves proactively assessing risks and monitoring them from location to location. Compliance professionals should focus on demonstrating continuous improvement rather than tackling all threats at once. This approach aligns with regulators’ expectations of an effective due diligence program.

In addition to the primary focus on risk assessment, Walden highlighted the importance of considering ancillary areas of inquiry. For instance, looking at places such as charitable donations or marketing spending can provide valuable insights into potential risks of bribery or corruption. The KonaAI tool can help correlate these ancillary data points and provide a more comprehensive view of compliance risks.

In conclusion, continuous compliance monitoring and risk assessment require a thoughtful and balanced approach. Organizations can identify and prioritize risks, starting with a comprehensive fraud risk assessment. Data sources, such as financial accounting systems and third-party data, play a crucial role in this process. However, aligning data analytics with the identified risks is essential to ensure meaningful results. Compliance professionals should also consider the data availability challenges and scope of compliance monitoring. Organizations can meet regulatory expectations and enhance their compliance programs by demonstrating continuous improvement and considering ancillary areas of inquiry.

Resources:

Connect with Vince Walden on LinkedIn

Check out KonaAI

Connect with Tom Fox on LinkedIn

Tags CCO, Data, Data Analytics, Data Siloes, KonaAI, Vince Walden

Data Driven Compliance

Data Driven Compliance: Anselmo Guevara on Harnessing Data Analytics & AI for Compliance

Post author By admin
Post date August 8, 2023
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Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, which is a podcast featuring an in-depth conversation around the uses of data and data analytics in compliance programs. Data Driven Compliance is back with another exciting episode The intersection of law, compliance, and data is becoming increasingly important in the world of cross-border transactions and mergers and acquisitions.

Data analytics is a powerful tool for uncovering trends and detecting fraud – and it’s essential for compliance and internal audit roles. In this podcast episode, experts discuss how to use analytics to its fullest potential. From conducting a formal risk assessment to creating a control inventory list, to looking at suspicious payment activities, the journey of compliance monitoring is broken down and explained. Predictive analytics and artificial intelligence are also discussed as potential future developments that can be utilized. This podcast provides an insightful look into the importance of data analytics and how it can help make informed decisions.

Key Highlights

· Data Analytics Usage

· Compliance Monitoring Journey

· Detecting Fraud

· Data Analytics

· Free Resources

Resources:

Anselmo Guevara on LinkedIn

Tom Fox

Connect with me on the following sites:

Tags Anselmo Guevara, Data Analytics, VMWare

Data Driven Compliance

Data Driven Compliance – AI Tech for Data Compliance, Part 1

Post author By admin
Post date July 25, 2023
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Data compliance risks are a major concern for organizations of all sizes as data collection and storage grows. A key is to prevent these risks by detecting misconduct before it occurs. AI technology is used to pinpoint risk and misconduct, providing context to alerts. Searching unstructured data is a critical process for organizations to identify and mitigate hidden risks, and the right technology is necessary to incorporate multiple file types and data sources. By equipping with the right processes and technology, organizations can proactively look for hidden risks and take preventative steps to ensure compliance.

Data has become much more ubiquitous and needs to be incorporated into business processes. AI data cleansing helps to reduce false positives and provides context to alerts generated by the system. AI capabilities are divided into three categories: removing duplicative content, detecting risk, and providing context. AI-powered data cleansing strips out non-human generated content and focuses on what was sent by an individual. This helps to lower false positives in alerts generated by the system.

Regulators are now focusing on prevention as part of best practices compliance programs. A key is to prevent misconduct before it occurs by setting expectations that this behavior is not tolerated in the organization. Compliance teams can quickly take action and remediate activity when an incident is found. Consistent approach by compliance teams in quickly remediating bad behavior creates a culture where misconduct is not tolerated.

Unstructured data is data that doesn’t have a hierarchy associated with it, such as Word documents, emails, and text messages. Your app built on unstructured data analytics problems, such as responding to government requests, cyber breach response, and compliance monitoring. Organizations should have processes in place to proactively look for hidden risks. Technology is needed to search through unstructured data to find hidden risks.

Key Highlights

· Data Compliance Risks

· Data Cleansing Importance

· Preventing Misconduct

· Detecting Risk with AI

· Searching Unstructured Data

Resources:

Tom Fox

Connect with me on the following sites:

Tags Data, Data Analytics, data cleansing

Data Driven Compliance

Data Driven Compliance: Christian Perez-Font on Law, Compliance & Data

Post author By admin
Post date July 11, 2023
No Comments on Data Driven Compliance: Christian Perez-Font on Law, Compliance & Data

Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, which is a podcast featuring an in-depth conversation around the uses of data and data analytics in compliance programs. Data Driven Compliance is back with another exciting episode. The intersection of law, compliance, and data is becoming increasingly important in cross-border transactions, mergers, and acquisitions.

In this episode, Tom welcomes Christian Perez-Font for the first of two parts on using performance bonds and data analytics to guarantee these transactions and the legal requirements and nuances of different jurisdictions when conducting due diligence. They also discussed how technology changes how companies manage Latin American operations, how practitioners need to understand Excel spreadsheets, and how to share data to benchmark and extract the correct information. Christian’s background in engineering and economics has helped him incorporate data analytics, compliance, and law into a unique package. Tune in to Data Driven Compliance and stay ahead of the curve in the compliance world!

Key Highlights: