Fintilect’s AI-powered digital wealth management delivers advanced customer insights that will enable wealth managers to recommend the savings or investment strategies that will appeal to their clients.
A wealth management platform is a comprehensive system designed to assist wealth managers in optimizing clients’ investment strategies and ensuring their capital is utilized effectively. It enables financial advisors to access cutting-edge insights and data to recommend tailored savings or investment strategies. By consolidating vast amounts of client data into a single ecosystem, these platforms provide a holistic view of client profiles, including behavioral, social, emotional, financial, health, and personal data. This integration allows wealth managers to analyze the market’s numerous financial products and determine which ones align best with their clients’ goals.
Wealth management software consolidates vast client data into a unified system, using simple integrations and file transfers. This ecosystem provides financial advisors with over 200 data points for analysis. This wealth management software solution processes this data to create a detailed client profile, correlating digital footprints across six key dimensions: behavioural, social, emotional, financial, health, and personal data. It then applies machine learning models to assess client behaviours, such as fear of missing out or indecision, for deeper insights. For financial advisors, this data enables targeted, personalised communication through the most effective channels, boosting client engagement and response.
Wealth management software offers several key advantages that enhance the effectiveness of financial advising. It creates a unified data ecosystem that aggregates client information, providing wealth managers with over 200 identifying features for analysis. By processing vast amounts of digital data – projected to increase significantly in the coming years – the software helps advisors develop a comprehensive understanding of client behavior and preferences.
Additionally, the use of machine learning models enables continuous insights into client needs and concerns, such as fear of missing out or indecision. This allows wealth managers to personalize communications and recommendations effectively.