Leveraging data as a tool to enhance operational risk controls and tailor customer experience

The views and opinions expressed in this article are those of the thought leader as an individual, and are not attributed to CeFPro or any particular organization.

Aron Elston, Associate Partner/Head of Anlaytics, Phyton Consulting

What is the impact of privacy on data programs?

The impact of privacy on data programs can be significant. If data programs collect and store personal information, there is the potential for that information to be used in ways that violate regulatory rules and an individual’s privacy. This can have a negative impact on the individual, on the data program itself, as well as the entire organization if compliance and/or regulations are violated. There are a number of ways to mitigate the risks associated with privacy and data programs, but it is important to be aware of the potential issues that can arise.

How do we go about managing data in an increasingly digital world?

It’s important to have a clear and concise plan for what data you want to collect and how you want to store it. This will help you keep track of your data and ensure that it is organized in a way that makes sense for your business or project. Next, you need to consider how you will protect your data. This includes both physical and cyber security measures. Physical security measures might include things like keeping your data center in a secure location and having strict access controls. Cyber security measures might include things like encrypting your data and using firewalls. Finally, you need to think about how you will back up your data. This is important in case of any physical damage to your data center or if there is a cyber-attack that compromises your data. You should have multiple backups in different locations so that you can restore your data if necessary.

How do we operationalize risk data? In order to operationalize risk data?

We need to establish a clear and consistent process for collecting, storing, and analyzing the data. This process should be designed to meet the specific needs of the organization and the types of risks that it is trying to manage. Once the process is in place, the data can be used to support decision-making around risk management.

What are the biggest challenges with client reference data, and what implications come with bad reference data?

There are a few big challenges that come with managing client reference data. Firstly, reference data can be very voluminous and unwieldy, making it difficult to keep track of changes and ensure accuracy. Secondly, reference data is often spread across multiple systems and platforms, making it hard to get a holistic view of all the data. Finally, bad reference data can have serious implications, including financial losses, regulatory penalties, and reputational damage.

What are ways that we can look at our data to better enhance our capabilities?

There are a few ways that we can look at our data to better enhance our capabilities. One way is to use data visualization techniques to better understand the data and identify patterns. Another way is to use data mining techniques to identify relationships between variables. Finally, we can use statistical methods to identify trends and relationships in the data.

How can we be more data driven as an organization and why?

As an organization, we can be more data driven by collecting and analyzing data to make informed decisions. Data can help us understand what is happening in our environment and how our actions are impacting it. By being data driven, we can make decisions that are based on evidence and facts instead of assumptions or emotions. Additionally, data can help us track our progress and identify areas where we need to improve.

Aron was a speaker at our 2022 Operational Risk Management Congress.