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DIRT 和复杂性的高成本

整整 70% 的数字化转型倡议都未能实现其目标

。技术、文化和流程等多种因素阻碍了团队的创新尝试。在与数千家组织(包括《财富》100 强客户、大型公共机构和尖端初创公司)合作后,我们发现创新中最困难的部分往往在于使用数据来构建和改进应用程序。

随着现代应用程序数据需求变得越来越复杂,使用传统数据架构支持这些需求变得越来越具有挑战性。通常,解决方案是添加一种新的数据技术,为其环境带来更多的复杂性。

这成为了构建应用程序和更广泛创新的累赘。在这种极其常见的情景中,时间和资源都浪费在维护复杂、脆弱的架构的需求上,而这些资源可用于开发客户会喜爱的新产品和功能。这种不必要的复杂数据架构变成一种创新税⸺数据与创新经常性税项,我们称之为 DIRT

在本文中,我们将展示这么多组织最终如何缴纳这笔税款,探索数据架构无序扩展的痛苦影响,并提出一个可能的解决方案⸺以现代化的应用程序开发数据平台,管理开发应用的多种数据需求


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