A Step Towards Data Readiness: Improving Financial Data Aggregation
The diversity of financial data sources and forecasting requirements are common challenges that banks, insurers and investment managers face when creating digital financial journeys. Robust data management is an important prerequisite to creating personalised experiences matching the complex financial situations of consumers to relevant offerings or helping financial professionals create portfolios that meet their needs. Here, we summarise the common hurdles that firms must overcome as well as strategies to update their businesses.
Key Trends in Wealth Management Q3 - 2023
How can wealth management companies ensure profitable growth during this volatile era? As the industry continues navigating an increasingly difficult financial landscape, several key trends have continued reshaping how wealth is managed. Among these trends, the rise in importance of the environmental, social, and governance (ESG) factors, more regulatory attention to consumer treatment, more recognition of the financial analytics tools, and the deeper integration of AI, machine learning and automation, all stand out as notable drivers of change.
Democratising Wealth Management by Utilising Financial Analytics
The wealth management sector is embracing emerging tech like machine learning and gamification to enhance workflows. Despite inflation and conflict challenges, technology is poised to reshape finance. A key concern though is how to leverage tech to expand services while maintaining margins for mass affluent clients.
Enhance Mutual Fund Grouping Using Machine Learning
The methods used to recommend mutual funds to customers vary greatly between companies. Often the recommendation techniques used rely on using metadata of the mutual funds, such as region, category, or investment objective. By grouping using these properties investors are given an overview of funds with similar classifications and can select funds from the groups they are interested in. And while grouping mutual funds in this way may provide investors with a convenient way to explore funds that align with their preferences and investment strategy, this method of recommendation has some potential limitations and risks.