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常见的技术采用拦截和创新挑战Common technology adoption blockers and challenges to innovation

数字经济创新中所述,创新需要在发明与采用之间实现平衡。As described in Innovation in the digital economy, innovation requires a balance between invention and adoption. 本文将介绍常见的云采用挑战和阻止创新,因为它旨在帮助你了解此方法如何在创新周期中增加价值。This article expands on the common cloud adoption challenges and blockers to innovation, as it aims to help you understand how this approach can add value during your innovation cycles.

创新公式: 创新 = 发明 + 采用Formula for innovation: innovation = invention + adoption

了解如何克服创新挑战需要一些时间来发现正确的方法。Knowing how to overcome innovation challenges takes some time to discover the right methods. 本文深入研究了在工作区中克服技术采用挑战。This article delves into overcoming technology adoption challenges in the workplace.

云技术采用挑战Cloud technology adoption challenges

尽管云技术进步降低了与采用相关的一些摩擦,但技术采用比以技术为中心的人员更多。Although cloud technology advances have reduced some of the friction related to adoption, technology adoption is more people-centric than technology-centric. 遗憾的是,云无法修复人员。And unfortunately, the cloud can't fix people.

下面的列表介绍了与创新相关的一些最常见的采用挑战。The following list describes some of the most common adoption challenges related to innovation. 当你通过创新方法进行处理时,将标识并处理以下部分中的每个挑战。As you progress through the Innovate methodology, each of the challenges in the following sections are identified and addressed. 在应用此方法之前,请先评估当前的创新周期,确定哪些是最重要的挑战或阻止。Before you apply this methodology, evaluate your current innovation cycles to determine which are the most important challenges or blockers for you. 然后,使用方法来寻址或删除这些阻止程序。Then, use the methodology to address or remove those blockers.

外部挑战的类型Types of external challenges

  • 面市时间: 在数字经济上,面市时间是市场优势的最重要指标之一。Time to market: In a digital economy, time to market is one of the most crucial indicators of market domination. 令人惊讶的是,投放市场的影响与定位或初期市场共享几乎没有什么影响。Surprisingly, time to market impact has little to do with positioning or early market share. 这两个因素都是 fickle 和暂时性的。Both of these factors are fickle and temporary. 投放市场的优势来自简单的事实,即你的解决方案在市场上的时间越多,你需要学习、迭代和改进的时间就越多。The time to market advantage comes from the simple truth that the more time your solution has on the market, the more time you have to learn, iterate, and improve. 为了缩短上市时间并加速学习机会,重点关注快速定义并快速构建有效的最小可行产品。To shorten time to market and accelerate learning opportunities, focus on quick definition and rapid build of an effective minimum viable product.
  • 竞争挑战: 主导 incumbents 降低了客户的参与和学习机会。Competitive challenges: Dominant incumbents reduce opportunities to engage and learn from customers. 竞争对手还创造了更快交付的外部压力。Competitors also create external pressure to deliver more quickly. 快速构建,但投入巨资来了解适当的 措施Build fast, but invest heavily in understanding the proper measures. 明确定义的 niches 生成更具可操作性的反馈措施,并增强你的合作伙伴和学习能力,从而改善整体解决方案。Well-defined niches produce more actionable feedback measures and enhance your ability to partner and learn, resulting in better overall solutions.
  • 了解你的客户: 客户理解首先了解客户和客户群。Understand your customer: Customer empathy starts with an understanding of the customer and customer base. 创新者面临的最大挑战之一是能够在生成度量值学习周期中快速分类度量值和学习。One of the biggest challenges for innovators is the ability to rapidly categorize measurements and learning within the build-measure-learn cycle. 必须通过市场细分、渠道和关系类型的重用功能区了解客户。It's important to understand your customer through the lenses of market segmentation, channels, and types of relationships. 在整个 "生成-度量-了解" 循环中,这些数据点有助于创建可理解并形成经验教训。Throughout the build-measure-learn cycle, these data points help create empathy and shape the lessons learned.

内部难题的类型Types of internal challenges

  • 选择创新候选人: 当投资创新时,企业健康公司会产生潜在的程序。Choosing innovation candidates: When investing in innovation, healthy companies spawn an endless supply of potential inventions. 其中很多人都创建了极具吸引力的业务案例,它们建议高回报并生成具有吸引力的业务理由。Many of these create compelling business cases that suggest high returns and generate enticing business justification spreadsheets. 如生成一文中所述, 通过客户理解的方式 应优先于基于收益预测的发明。As described in the build article, building with customer empathy should be prioritized over invention that's based only on gain projections. 如果客户理解在此方案中不可见,则不太可能采用长期采用。If customer empathy isn't visible in the proposal, long-term adoption is unlikely.
  • 平衡组合: 大多数技术实现并不注重改变市场或改善客户的生活。Balancing the portfolio: Most technology implementations don't focus on changing the market or improving the lives of customers. 在平均 IT 部门,为实现基本流程自动化,超过80% 的工作负荷。In the average IT department, more than 80% of workloads are maintained for basic process automation. 随着创新的不断创新,创新并重塑这些解决方案是一种诱人的方式。With the ease of innovation, it's tempting to innovate and rearchitect those solutions. 大多数情况下,这些工作负荷可以通过迁移或现代化解决方案来体验类似或更好的回报,而不会更改核心业务逻辑或数据流程。Most of the times, those workloads can experience similar or better returns by migrating or modernizing the solution, with no change to core business logic or data processes. 平衡你的产品组合,以支持可通过明确理解客户 (内部或外部) 来 构建 的创新战略。Balance your portfolio to favor innovation strategies that can be built with clear empathy for the customer (internal or external). 对于所有其他工作负荷,请执行财务的迁移路径返回。For all other workloads, follow a migrate path to financial returns.
  • 保持焦点并保护优先级: 对创新做出承诺后,必须维护团队的关注点。Maintaining focus and protecting priorities: When you've made a commitment to innovation, it's important to maintain your team's focus. 在生成阶段的第一次迭代过程中,使团队非常乐于地乐于为客户更改未来的可能性,这一点相对容易。During the first iteration of a build phase, it's relatively easy to keep a team excited about the possibilities of changing the future for your customers. 但首个 MVP 版本只是开始。However, that first MVP release is just the beginning. 通过从反馈循环中学习来生成更好的解决方案,真正的创新与每个生成度量-学习周期一起提供。True innovation comes with each build-measure-learn cycle, by learning from the feedback loops to produce a better solution. 作为任何创新过程的领导者,重点关注团队重点,并通过 glamorous 的后续生成迭代来维护创新优先级。As a leader in any innovation process, concentrate on keeping the team focused and on maintaining your innovation priorities through the subsequent, less-glamorous build iterations.

发明的挑战Invention challenges

在广泛采用云之前,依赖于信息技术的发明周期非常费力且非常耗时。Before the widespread adoption of the cloud, invention cycles that depended on information technology were laborious and time-consuming. 采购和预配周期经常会将重要的第一步延迟为任何新解决方案。Procurement and provisioning cycles frequently delayed the crucial first steps toward any new solutions. DevOps 解决方案和反馈的成本会循环利用团队在初期阶段构思和发明进行协作的能力。The cost of DevOps solutions and feedback loops delayed teams' abilities to collaborate on early stage ideation and invention. 与开发人员环境和数据平台相关的成本阻止了训练有素的专业开发人员参与创建新解决方案。Costs related to developer environments and data platforms prevented anyone but highly trained professional developers from participating in the creation of new solutions.

云通过提供自助自动预配、轻量开发和部署工具,以及专业开发人员和公民开发人员在创建快速解决方案方面的机会,来克服了许多这些发明挑战。The cloud has overcome many of these invention challenges by providing self-service automated provisioning, light-weight development and deployment tools, and opportunities for professional developers and citizen developers to cooperate in creating rapid solutions. 将云用于创新,大大减少了客户面临的难题,并阻止了创新等式的发明端。Using the cloud for innovation dramatically reduces customer challenges and blockers to the invention side of the innovation equation.

数字经济中的发明和创新挑战Invention and innovation challenges in a digital economy

目前的发明挑战与过去的挑战不同。The invention challenges of today are different than challenges of the past. 云技术的无限潜能还会生成更多的实现选项,并更深入地了解如何使用这些实现。The endless potential of cloud technologies also produces more implementation options and deeper considerations about how those implementations might be used.

创新方法使用以下创新学科来帮助实现决策与发明和采用目标相匹配:The Innovate methodology uses the following innovation disciplines to help align your implementation decisions with your invention and adoption goals:

  • 数据平台: 数据的新源和变体可用。Data platforms: New sources and variations on data are available. 以前,很多数据无法集成到旧式或本地应用程序中以创建经济高效的解决方案。Previously, much of this data couldn't be integrated into legacy or on-premises applications to create cost-effective solutions. 了解你希望在客户中推动的更改将通知你数据平台决策。Understanding the change you hope to drive in customers will inform your data platform decisions. 这些决策将是用于引入、集成、分类和共享数据的所选方法的扩展。Those decisions will be an extension of selected approaches to ingest, integrate, categorize, and share data. Microsoft 将此决策制定过程称为数据的 democratization。Microsoft refers to this decision-making process as the democratization of data.
  • 设备交互: IoT、移动和扩充的现实会在数字与物理之间增加线路,从而加速数字经济。Device interactions: IoT, mobile, and augmented reality blur the lines between digital and physical, accelerating the digital economy. 了解围绕客户行为的实际交互将推动有关设备集成的决策。Understanding the real-world interactions surrounding customer behavior will drive decisions about device integration.
  • 应用程序: 应用程序不再是专业开发人员的独家域。Applications: Applications are no longer the exclusive domain of professional developers. 它们也不需要传统的基于服务器的方法。Nor do they require traditional server-based approaches. 为专业开发人员提供支持,使业务专家成为公民开发人员,扩展 API、微服务和 PaaS 解决方案的计算选项展开应用程序接口选项。Empowering professional developers, enabling business specialists to become citizen developers, and expanding compute options for API, micro-services, and PaaS solutions expand application interface options. 了解形成客户行为所需的数字体验将改善应用程序选项的决策。Understanding the digital experience required to shape customer behavior will improve your decision-making about application options.
  • 源代码和部署: 所有演练的开发人员之间的协作将提高质量和投放市场的速度。Source code and deployment: Collaboration between developers of all walks improves both quality and speed to market. 集成反馈,并快速响应学习形状市场领导者。Integration of feedback and a rapid response to learning shape market leaders. 对生成、度量和学习过程的承诺有助于加速采用工具的决策。Commitment to the build, measure, and learn processes help accelerate tool adoption decisions.
  • 预测解决方案: 在数字经济上,几乎只是满足客户当前的需求。Predictive solutions: In a digital economy, it's seldom sufficient to just meet the current needs of your customers. 客户希望企业预测后续步骤并预测其未来需求。Customers expect businesses to anticipate their next steps and predict their future needs. 持续学习经常演变为预测工具。Continuous learning often evolves into prediction tooling. 客户需求和数据可用性的复杂性有助于定义预测和影响的最佳工具和方法。The complexity of customer needs and the availability of data will help define the best tools and approaches to predict and influence.

在数字经济上,最大的挑战设计师认识到清楚地了解客户的发明和采用需求,然后确定基于云的最佳工具链来满足这些需求。In a digital economy, the greatest challenge architects face is to clearly understand their customers' invention and adoption needs and to then determine the best cloud-based toolchain to deliver on those needs.

后续步骤Next steps

掌握了有关生成度量值学习模型和增长思维方式的知识,就可以在 创新方法中开发数字程序了。With the knowledge you've gained about the build-measure-learn model and a growth mindset, you're ready to develop digital inventions within the Innovate methodology.