Connect with us

Hi, what are you looking for?

OPINIONS

Managing risk with Big Data insights

As a CFO, do you fully understand risk exposures across your organization? Can you trust your governance processes to sufficiently ensure accurate risk reporting? Are you able to accurately quantify the risk factors of a transaction?

Paul Skipski, Chief Financial Officer, IBM Philippines

Paul Skipski, Chief Financial Officer, IBM Philippines

Paul Skipski, Chief Financial Officer, IBM Philippines

By Paul Skipski, Chief Financial Officer, IBM Philippines

As a Chief Financial Officer, do you fully understand risk exposures across your organization? Can you trust your governance processes to sufficiently ensure accurate risk reporting? Are you able to accurately quantify the risk factors of a transaction?

Risk influences all that we do – from the smallest business decisions to the largest ones. The lack of risk-awareness culture especially in financial institutions can be devastating. CFOs can draw upon insights gleaned from Big Data to predict where things may go wrong and devise proactive strategies to get back on course.

There are no global standards or common law to regulate consistent business practices and business dealings internationally. Currently, different countries and regulators are issuing directives and regulations to enforce and contain bad behavior that may exist in the corporate world. Most countries around the world have their own standards but the nuances and enforcement of such practices and laws are very different. In ASEAN, such differences exist in the law itself and its application. To make things worse, regulators have lost patience with increased cases of non-compliance.

However, with use of the right tools, risks can carefully be calculated, controlled and managed, greatly reducing the variable of bad luck. Many successful CFOs today are accounting for the impact of outside forces – from the ever changing regulatory and compliance landscape, interest rates, supply chain and other operational events to natural disasters and even consumer sentiment – to inform, shape and govern their corporate strategies.

Advertisement. Scroll to continue reading.

Regulatory compliance and beyond

While the nature of the finance function has historically been to analyze past performance, risk is inherently forward-looking. CFOs must move beyond their traditional domain and use performance indicators and risk to predict the future. By discovering hidden patterns of risk rooted within their ledgers and spreadsheets – and integrating risk with financial management – CFOs can provide critical linkages between strategy and execution and stay ahead of the curve.

Since every risk comes home to roost in a financial number between the lines of the balance sheet, CFOs are playing a much larger role in risk management. They increasingly are influencing, setting and driving corporate risk strategies, working closely with the chief risk officer and chief operating officer.

Armed with financial and operational data that can inform decisions, CFOs are in position today to help their organizations avert roadblocks and wrong turns, as well guide the business down new paths of profitability.

Moving forward with Big Data and predictive analytics

Advertisement. Scroll to continue reading.

Forward-looking CFOs are using insights gleaned from Big Data and predictive-analytics technologies to accelerate business performance. By embracing a data-driven approach, CFOs can influence major, strategic corporate decisions involving acquisitions, divestitures, demand planning and forecasting, new markets and more.

Today’s predictive risk models can be enormously helpful to anticipate and control levers of uncertainty by using “what-if” scenarios to determine specific outcomes. CFOs can draw upon Big Data insights to predict where things may go wrong, and then devise a proactive strategy to get back on course.

For example, if a CFO notices that customer retention is on the decline by analyzing social media chatter, he/she can make a new directive for the business to implement new loyalty programs. By using customer data as a leading performance indicator, the CFO can spearhead smarter growth strategies.

Holistic Approach
Of course, technology alone is not the answer. The successful adoption of an enterprise risk management platform requires a truly pervasive approach to risk management.

Here are some areas for consideration:

Advertisement. Scroll to continue reading.

•    There should be a distinct and consistent tone from the top including senior management and the board, which sets the policies and guidance around both risk taking and avoidance.
•    A company should have a sound commitment to ethical principles, which starts with the value system of individual employees.
•    Transparency around both sharing across the organization and encouragement to employees to report risks.

The successful adoption of any enterprise risk management requires trust; trust in your systems, processes, and people. Trust in the quality and reliability of the underlying data and operational processes, trust in the integrity of the analytics, and trust in the management processes driving reliable actions emanating from risk insights. Without trust, management may pay lip service to risk analytics.

As the CFO’s role is on the verge of change, finance professionals have an opportunity to become more than just the corporate scorekeepers. Bearing in mind the importance of trust, combining clear policies with the beauty of Big Data and analytics will reveal the opportunity cost of not taking a risk. By using Big Data to manage risk, the CFO can emerge as a powerful and strategic decision maker.

 

Advertisement. Scroll to continue reading.
Advertisement
Advertisement
Advertisement

Like Us On Facebook

You May Also Like

HEADLINES

IBM's ASC solution will leverage Amazon Bedrock generative AI technology to automate, evolve and enforce client-chosen security controls quickly.

HEADLINES

As IT leaders grapple with growing technology budgets and managing new generative AI-fueled compute needs, they are facing increasing pressure to prove the value...

HEADLINES

IBM Guardium Data Security Center provides a common view of organizations' data assets, empowering security teams to integrate workflows and address data monitoring and governance,...

HEADLINES

IBM's third-generation Granite flagship language models can outperform or match similarly sized models from leading model providers on many academic and industry benchmarks, showcasing...

White Papers

77% of industry leaders who responded acknowledge that generative AI is necessary to keep pace with competitors.

HEADLINES

Two new solutions, with another expected later this year, bring together the EY organization’s deep industry experience across Tax, Corporate Transactions, IT Financial Management...

HEADLINES

The standards include three post-quantum cryptographic algorithms: two of them, ML-KEM (originally known as CRYSTALS-Kyber) and ML-DSA (originally CRYSTALS-Dilithium) were developed by IBM researchers...

HEADLINES

These innovative solutions use technologies such as the IBM watsonx AI and data platform to enable users — from policymakers at the national and...

Advertisement