Data-driven financial advice
The financial services industry is evolving rapidly, and at the heart of this transformation lies the power of technology and data. For financial advisers, the challenge is not about being replaced by technology but about leveraging it to enhance their role, improve client outcomes, and drive business efficiency.
At a recent Wealth Matters webinar, Martiens Barnard, Head of Technical Marketing at Momentum Wealth, and Hymne Landman, CEO: Wealth Management at Momentum Wealth, explored how technology is shaping wealth management without changing its core.
Their insights shed light on how advisers can harness data-driven decision-making, predictive analytics, and artificial intelligence (AI) to provide better financial advice while maintaining the human touch that clients value.
The key challenges financial advisers face
According to Landman, advisers must address three primary challenges in their businesses:
- Client growth - “How to beat the average and strengthen your value proposition.”
- Time management - “How to spend time on the most value-adding activities.”
- Scalability - “How to operate through more efficient infrastructure and simplified processes.”
The rise of data-driven advice
Traditionally, financial advice has been built on experience, market knowledge, and intuition. However, as Barnard highlighted, data is now playing a central role in wealth management.
With advanced analytics, advisers can gain deep insights into client behaviour, financial trends, and potential risks. This shift allows advisers to move from a reactive approach - responding to issues as they arise - to a proactive strategy that anticipates challenges and opportunities.
One of the key takeaways from the presentation is that technology enables advisers to create personalised investment strategies. By analysing client data, advisers can make informed decisions about asset allocation, risk management, and financial planning, ultimately helping clients achieve better long-term outcomes.
Predictive analytics and retirement planning
One area where data is making a significant impact is retirement planning. Predictive analytics allows advisers to assess whether a client is on track for a comfortable retirement or if adjustments need to be made.
Instead of relying solely on static financial projections, advisers can use real-time data to simulate different scenarios. For example, how would a market downturn affect a client’s retirement savings and what will happen if they adjust their investment portfolio?
By leveraging these insights, advisers can provide more strategic, forward-looking guidance to their clients, ensuring that retirement plans remain robust even in uncertain economic conditions.
The cost of investor behaviour
Barnard’s discussion highlighted a critical issue that affects investment returns - the so-called “behaviour tax.”
- R65 million was destroyed in behaviour tax for the 2024 period in the Flexible Income Option (FIOs) and Retirement Income Option (RIOs).
- RIO investors (non-discretionary investors) pay 4.26% in behaviour tax.
- The Top 10 outflow funds (R1.5 billion) deliver up to 14% better returns the next year (RIOs).
Investors often react to market fluctuations by making impulsive decisions, such as selling stocks in a downturn or chasing the latest investment trends. This behaviour results in lost opportunities and diminished returns. The solution? Data-driven financial advice. By using behavioural analytics, Momentum Investments has identified patterns in client decision-making. Understanding this can help financial advisers guide their clients toward more rational, disciplined investment behaviour. The key is to remove emotion from investing and focus on long-term financial goals.
Hyper-personalisation: the future of financial advice
Gone are the days of one-size-fits-all financial advice. Today’s clients expect personalised solutions tailored to their unique needs. This is where AI and machine learning come into play.
“Data has power when it comes to personalisation,” said Barnard. By analysing vast amounts of data using AI, we can categorise investors based on behaviour rather than just demographics. The different behavioural archetypes of the investors each display a tendency to switch based on factors such as fear, greed, or by looking at past performance. These behavioural switches adversely impact the performance of their investments and lead to the behaviour tax.
The PAM (partition around medoids) clustering algorithm was used in the analysis to group investors based on their switching behaviour, demonstrating how data-driven approaches can help tailor financial advice.
Balancing tech and human insight
Despite all the advancements in technology, the role of the financial adviser remains irreplaceable. As Landman wisely put it: “Grant me the serenity to accept what computers do better than people, the courage to let people do what they do better than computers, and the wisdom to know the difference.”
This statement encapsulates the essence of modern wealth management. Advisers should embrace the efficiency and analytical power of technology while continuing to provide the personal, relationship-driven guidance that clients trust.
Technology should be seen as an enabler, not a replacement. While AI and big data can process information faster and more accurately than humans, they lack the emotional intelligence and personal connection that advisers bring to the table.
The adviser’s competitive edge in a digital world
So, what does all of this mean for financial advisers?
- Embrace technology, don’t fear it - the industry is moving toward digital solutions, and advisers who adopt tech-driven tools will be better positioned to serve their clients effectively.
- Use data to add value - clients want more than generic financial advice. By leveraging data insights, advisers can deliver personalised, proactive recommendations that improve financial outcomes.
- Educate clients on behavioural risks - helping clients understand the impact of emotional decision-making can protect their wealth and build long-term trust.
- Combine AI with human expertise – the future of financial advice lies in a hybrid model where technology handles data-heavy tasks, and advisers focus on strategic guidance and relationship-building.
Striking the right balance
Technology and data are transforming wealth management, but they are not replacing the core principles of financial advice. Instead, they are BREAK equipping advisers with powerful tools to enhance their service, improve client engagement, and drive better financial outcomes.
As Barnard and Landman’s presentation highlighted, success in the digital age is about striking the right balance - leveraging technology’s strengths while preserving the human touch that makes financial advice valuable. Those who master this balance will thrive in an industry that is evolving faster than ever.
Writer’s thoughts
In a world where algorithms can predict behaviour and personalise advice, the true differentiator isn’t access to data - it’s how advisers use it to deepen human connection. The challenge is no longer just staying informed but staying indispensable. Do you agree? Please comment below, interact with us on X at @fanews_online or email me your thoughts at [email protected].
