Data Driven Financial Engine
The constantly evolving economy requires financial services companies be data-driven—from mining interaction data to gathering consumer product expectations. The term ‘data-driven’ is not a new concept; financial services companies have applied regressive-based statistical analysis for years to achieve improved forecasts on products and services. This definition of data-driven has evolved to encompass customer preferences and values, especially when it comes to how customers prefer to bank. Customers expect a financial services company to remember their preferences, engagement history and behaviors so personalized experiences can be delivered. To achieve a competitive advantage, companies must break down silos of customer data and effectively extract and leverage insights to meet customer needs. Having the correct data will enrich the customer experience, but in order to do so, financial services need to have a well-designed data transformation strategy that delivers value right from the start. In view of these, we've invited a seasoned FinTech professional and presently the Regional Sales Director of MoneyThor, Connor Larkin based in Singapore as he walk us through the value proposition of a data driven financial platform like MoneyThor and its significant relevance to our digital economy. LinkedIn: Connor Larkin Corporate Website: https://www.moneythor.com/ Email: connor@moneythor.com