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, 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 implication to improving enterprises operations.

中文翻译：

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将大数据分析能力定位于金融服务敏捷性

目的

企业正越来越多地采取切实可行的步骤，通过大数据分析 (BDA) 等服务转型的数字技术来转变现有业务模式。BDA 功能使金融机构能够获取财务数据、分析数据、洞察并在协作平台上存储此类数据和信息，以实现快速决策过程。因此，本研究确定了如何部署 BDA 功能以显着提高金融服务的敏捷性。

设计/方法/方法

该研究依赖于来自 485 位银行业专业人士的调查数据，包括 BDA 使用、IT 能力开发和金融服务敏捷性。PLS-SEM 技术用于评估所提出的研究框架的潜在关系和适用性。

发现

基于本研究的实证检验，基于 IT 能力观点概念的独特 BDA 使用证明，如果企业在开发其他相关资源的同时开发技术能力，金融服务敏捷性可以得到提高。

实际影响

该研究进一步强调金融服务经理需要识别数据挖掘、查询和报告、数据可视化、预测建模、流分析、视频分析和语音分析等 BDA 技术，以专注于金融知识收集和市场观察。财务经理还可以部署 BDA 工具，为定制金融产品的数据管理、数据可转移性和知识发现制定战略路线图。

原创性/价值

这项研究对新兴技术（例如 BDA）对改善企业运营的意义的新兴讨论做出了有益的贡献。