Tag: Kidbrooke

A recent report from financial analytics firm Kidbrooke has revealed significant shortcomings in the communication practices of many fund companies.

In an era marked by rapid technological advancements and significant socio-economic shifts, the global wealth management sector is undergoing a transformative phase.

During the third quarter of 2024, the wealth management sector witnessed shifts, heavily influenced by sustainability, digital innovation, and regulatory adjustments.

FinTech global recently sat down with Fredrik Davéus, the CEO and co-founder of financial analytics API developer Kidbrooke. During the discussion, Davéus discussed market data aggregation and financial product management and its impact on financial institutions' digitalisation journeys.

The WealthTech market continues to grow at a steady rate and is becoming increasingly interwoven with the wealth and asset management sector. In fact, the WealthTech sector was valued at $9.7bn in 2024 and is expected to grow at a 25.2% CAGR to be worth $37.7bn by 2032, according to a report from Kingpin Market Research.

As the financial sector continues its rapid transformation, the integration of sophisticated automation in financial analytics is increasingly paramount. A Forbes study indicates that up to 25% of routine, information-based tasks in financial services could be automated by AI.

The latest survey conducted by Northern Trust, involving 300 global asset management firms, has unveiled a notable shift towards prioritizing product quality and accuracy. Unlike the previous year, a significant majority of asset managers (72%) are now focusing on enhancing their product strategies, which includes improving distribution methods, data management, and outsourcing functionalities.

Harnessing the power of financial data aggregation is becoming increasingly crucial in the investment world, particularly when integrating environmental, social, and governance (ESG) performance...

Navigating ESG integration presents unique opportunities for differentiation but also brings challenges from a data management perspective.

Financial institutions have often relied on excel spreadsheets for their data analytics. This is leaving many firms with a legacy system that is not effective in the increasingly complex financial market.