Digitalisation at the Core of Asset Management : Impact on Fund Management Companies
Efficiency, transparency, and speed have become defining factors in modern Asset Management. Digitalisation provides management and investment teams with concrete levers to strengthen governance, enhance risk oversight, and reinforce investor confidence. Across the industry, this transformation is no longer optional — it is structural.
(Authors: Martin Müller, Associate Director; Business Development & CRM & Estelle Grisoni, Project Manager IT)
Operational processes in transition: driving efficiency
According to PwC, nearly 80% of Asset Managers consider digitalisation a key competitive differentiator. In its Asset and Wealth Management Revolution study, PwC also notes that the use of data is playing an increasingly important role in investment analysis and decision-making.
This shift is already visible across the asset management industry: data centralisation enables near real-time visibility on transactions, performance metrics, cash flows, exposures, liquidity and information on portfolio asset level.
Non-financial metrics are following the same trajectory. This integration facilitates portfolio monitoring, scenario analysis, and long-term capital allocation decisions. The outcome is clear: decision-making based on consolidated, comparable, and reliable data rather than fragmented information.
Data — and, more importantly, how it is used — is increasingly becoming a key differentiator. As a result, more firms are focusing not only on leveraging data but also on controlling its collection and ownership. Just consider BlackRock and its broader ecosystem of platforms and acquisitions, such as Aladdin, eFront, and Preqin. Together, these capabilities allow asset managers to integrate investment data, risk analytics, and market intelligence into their decision-making and client offering.
In an environment where transparency, benchmarking, and reporting are becoming increasingly important—particularly in Private Markets—access to high-quality proprietary data can become a significant strategic advantage.
Automation and system integration: measurable operational gains
The broader asset management ecosystem — including fund management companies, custodians, and service providers — is accelerating its digital transformation as well. Automated interfaces and embedded compliance controls significantly reduce manual intervention and operational risk, for example through automated data exchanges, NAV calculations, transactions or regulatory reporting between portfolio management systems, fund administrators and custodians. Overall, these developments enable i) shorter reporting, execution and closing cycles, ii) higher quality standards across all metrices and most important iii) improve the coordination between portfolio managers, operation teams, fund management companies, custodians and other linked service providers.
Beyond operational efficiency, these advances strengthen transparency and accountability — essential in a market environment characterised by increased scrutiny and regulatory oversight.
Data quality and integration: the foundation of value creation
Sustainable value creation depends on a fundamental prerequisite: high-quality, integrated data. Many organisations still operate with fragmented systems or spreadsheet-based processes, limiting scalability and automation potential. Centralised platforms address these challenges by harmonising data structures, standardising key indicators, and enhancing reporting reliability.
On this foundation, artificial intelligence is beginning to deliver tangible applications — from performance forecasting and risk modelling to anomaly detection and portfolio optimisation. Asset management teams can identify emerging risks earlier and adjust strategies proactively.
A deliberate and structured transformation
Digitalisation is not solely a technology upgrade. It requires robust data governance, regulatory alignment, cybersecurity safeguards, and structured change management. When implemented strategically, however, it significantly enhances operational resilience and the overall quality of governance.
In this evolving landscape, organisations within the asset management industry are embedding digital capabilities at the core of their operating models — prioritising data integrity, system interoperability, and process automation. This disciplined approach reflects a long-term commitment to strengthening the foundations of Fund and Asset Management in an increasingly data-driven environment.