In a world where financial expertise is increasingly becoming a prerequisite, the depth of understanding of the client is emerging as a key differentiator. Iavor Tzolov analyses here how the structuring of relationship-based knowledge – long scattered amongst individuals, teams and systems – is set to become a major strategic asset for players in the wealth management sector.
For a long time, the competitive advantage of wealth managers and private banks rested primarily on financial expertise, the quality of advice, their network of relationships and access to investment opportunities. These elements remain, of course, fundamental. However, they are gradually becoming more of a prerequisite for the profession than genuine differentiating factors.
Access to financial information has become widely available. Analytical tools are becoming standardised. Execution capabilities are becoming increasingly homogeneous. As for technical expertise, whilst it remains indispensable, it is no longer sufficient on its own to create a sustainable advantage.
Against this backdrop, a major shift in value creation is taking place: differentiation no longer rests solely on financial expertise, but on the ability to develop a deeper and more structured understanding of the client and their environment.
This is precisely where data becomes strategic.
However, the issue is often framed incorrectly. Data is still too frequently approached from a primarily technological, regulatory or operational perspective. Yet it is, above all, a matter of understanding the customer and creating value.
The question is not simply what data to collect, but why to collect it, how to structure it and, above all, how to transform it into actionable insights about the customer that can inform decision-making and strategic management.
It is also essential to distinguish between several levels that are often confused.
Data is, first and foremost, raw material: an interaction, a transaction, financial information, observed behaviour or an exchange with a customer. Taken in isolation, this data has limited value. When structured and contextualised, it becomes comprehensible information. But the true value emerges when this information enables the development of actionable knowledge: a more nuanced understanding of the client, their needs, their behaviour or their potential risks, which can tangibly improve decision-making and the quality of the relationship.
In wealth management, this aspect is particularly important, as the most strategic data is often not purely financial. It also lies in the client’s relational, behavioural and wealth-related aspects: family dynamics, risk appetite, behaviour under stress, succession plans, changing needs, the actual level of trust, or even relational dependence on certain contacts.
Yet this knowledge remains largely fragmented within institutions. A significant portion of the value still relies on diffuse human intelligence, scattered amongst different staff members, teams and systems. In many cases, this knowledge remains implicit, poorly structured and difficult to pass on.
This fragmentation creates several major vulnerabilities.
Firstly, it reinforces dependence on certain relationship managers or key individuals, who become the primary holders of customer knowledge. When this knowledge remains essentially personal and is not fully capitalised on by the organisation, risks naturally increase during staff departures, succession planning, reorganisations or periods of growth.
It also limits organisations’ ability to develop a coherent and consolidated view of client relationships. Important ‘weak signals’ may remain isolated, opportunities may go unrecognised, and certain vulnerabilities in relationships or asset portfolios may remain hidden until they become critical.
Finally, this fragmentation reduces institutions’ collective capacity for learning. A significant portion of the experience accumulated over the years remains difficult to harness at an organisational level, as it has never been sufficiently structured to become genuine knowledge capital.
In a sector where knowledge transfer, consolidation and recruitment are becoming major challenges, this issue is particularly significant. Two institutions with comparable financial characteristics may in reality have very different resilience profiles depending on their ability to structure, preserve and pass on their client knowledge.
The question then becomes less one of technology and more one of intellect and strategy: how can this scattered knowledge be transformed into a structured understanding that can be shared and utilised collectively?
Essentially, it is a matter of transforming largely personal and tacit knowledge into genuine institutional memory.
This obviously does not mean standardising or dehumanising the customer relationship. On the contrary, the aim is to better preserve, pass on and enrich the human understanding that lies at the very heart of the business.
In the long term, this capability could become a major differentiating factor for players in the sector.
For, at its core, wealth management relies heavily on an invisible asset: the quality of one’s understanding of the client and the depth of the relationship built with them. Institutions capable of transforming this relational knowledge into a genuine, structured asset are likely to enjoy a considerable strategic advantage in the years to come.