Positioning big data analytics capabilities towards financial service agility

Abstract

Purpose: Enterprises are increasingly taking actionable steps to transform existing business models through digital technologies for service transformation, such as big data analytics (BDA). BDA capabilities offer financial institutions to source financial data, analyse data, gain insight and store such data and information on collaborative platforms for a quick decision-making process. Accordingly, this study identifies how BDA capabilities can be deployed to provide significant improvement for financial services agility. Design/methodology/approach: The study relied on survey data from 485 banking professionals’ perspectives with BDA usage, IT capability development and financial service agility. The PLS-SEM technique was used to evaluate the underlying relationship and the applicability of the research framework proposed. Findings: Based on the empirical test from this study, distinctive BDA usage grounded on the concept of IT capability viewpoint proof that financial service agility could be enhanced provided enterprises develop technical capabilities alongside other relevant resources. Practical implications: The study further highlights the need for financial service managers to identify BDA technologies such as data mining, query and reporting, data visualisation, predictive modelling, streaming analytics, video analytics and voice analytics to focus on financial knowledge gathering and market observation. Financial managers can also deploy BDA tools to develop a strategic road map for data management, data transferability and knowledge discovery for customised financial products. Originality/value: This study is a useful contribution to the burgeoning discussion with emerging technologies such as BDA have implications for improving enterprises operations.