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Valtech:2024构建未来就绪的数字化金融服务:工业化浪潮下夯实数据基础 拥抱服务设计思维(英文版)(24页).pdf

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1、Building Future-Ready Financial ServicesAs digital industrializes,senior leaders must build strong data foundations&embrace service design thinkingThe financial services industry has been hit by constant waves of change over the past decade.And the need for always-on digital transformation has seen

2、an entire industry grow up around it.Financial services firms today have access to an industrialized set of platforms,products,tools,frameworks,consultancies,and cloud offerings.This growing digital ecosystem,along with increasingly digital-friendly governments,is accelerating digital evolution and

3、data-driven outcomes.The World Trade Organization(WTO)has also highlighted the key role of digital industrialization in driving economic growth,stressing the importance of“digital literacy”and “the legal and regulatory framework underpinning the digital economy”.In a world of abundant digital resour

4、ces,robust data foundations and service design thinking will set you apart.These capabilities will empower you to unleash digital excellence and deliver great experiences for clients and consumers,as well as staff and management.Constant evolution is essential as the bar for personalized,AI-driven e

5、xperiences continues to be raised by generative AI(GenAI)experiences like ChatGPT,Microsoft Copilot,and Gemini.As a financial leader,you cant afford to sit back while your industry transforms around you.You need to know which way the dial is moving.You need to understand all the components of a mode

6、rn financial services company to successfully build one,and you need to be willing to embrace digital industrialization in every corner of your business.But most of all,to drive impactful change,you must be able to communicate these concepts to other leaders.Become a financial services changemaker2B

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本文主要讨论了金融服务业在数字化转型中的关键趋势和挑战。主要内容包括: 1. 数字工业化正在改变金融服务行业,企业需要建立强大的数据基础和采用服务设计思维,以实现更快的成果、去中心化运营和提高效率。 2. 服务设计思维关注从用户和工作人员的角度设计和改进服务,通过理解客户的需求和行为来创造创新和以用户为中心的服务体验。 3. 强大的数据基础是实现可持续和盈利的AI应用的唯一途径。没有强大的数据基础,企业无法利用AI或机器学习用例,更不用说大规模的生成式AI应用了。 4. 随着数字转型的加速,客户和用户的期望比以往任何时候都高。金融服务公司需要通过增加自动化来降低服务客户的成本,并通过升级消费者到更有利可图的金融产品来创造新的收入来源。 5. 为了满足不断变化的客户期望,金融服务公司需要采用数字优先的方法,并利用平台、云和移动优先策略保持领先。 6. 金融服务领导者必须将新的期望传达给高级领导,以便适当分配预算。如果没有通过改变企业投资数字和数据的方式响应不断上升的期望,金融服务公司将越来越难以提供有竞争力的客户体验。
如何在金融服务中实现数字工业化? 服务设计思维如何助力金融服务创新? 金融服务如何建立强大的数据基础?
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