为什么您需要设计分析才能在物联网上取得成功
随着各种行业的公司计划并执行由物联网提供支持的数字化转型策略，他们应该以一个无所不包的目标来设计所有内容 - 产品，应用程序，传感器，网络，服务等 - 最大化：他们创建或摄入的数据的价值。
最大化该值的关键是分析。及时，可靠，可访问，值得信赖的分析是未来的战场，最终将赢得或丢失物联网战争。没有大量的数据分析投资，大多数组织几乎没有希望从物联网生成的所有数据以及为自己和客户带来真正的价值。
有了这么多不断连接的设备，我们现在有机会了解产品在客户，家庭，学校，工作场所，医疗机构或其他环境等客户环境中的真正工作或不工作的方式。
为当今的联系世界创建的新产品应旨在分析实际客户手中现实世界中生产实例的使用模式，有效性和性能。这样做的主要目标是告知未来产品和服务的开发，以便它们可以提高质量，有效性和客户满意度。
Getting personal
IoT gives manufacturers an opportunity to rethink what it means to bring a product to a mass market. It opens up possibilities of whole提供产品的新方法在个性化的基础上，因为每个人都以不同的方式使用产品或在购买和使用产品时会牢记不同的目标或目的。
一般而言，制造商和消费品制造商都开始探索从传统的工业模型中探索，该模型的工业模型高批量构建低产品可变性。几十年来，公司一直在建造许多基本外观和行动的东西。使用该模型，每个人都购买基本相同的东西，或者可能会带有略有变化，例如产品的尺寸，颜色或样式。但是，在当今的市场中，越来越多的消费者正在寻找个性化，独特的定制产品，这些产品是为其设计和制造的，并为满足他们的需求而定制。
Part of this trend has been driven by the rise of technologysuch as 3D printing。这可以实现大规模定制，或者可以生产满足客户需求的个性化商品或服务。大规模定制旨在交付个性化产品，同时维持大规模生产启用的低成本。
但是，连接的设备还允许产品在现场适应自己，重新调整其功能并从客户的喜好中学习，以提供独特的个人产品体验。
Thriving through analytics
在最近的一次采访中，Netapp高级副总裁兼CTO Mark Bregman描述了“数据三个” as “those organizations building their business around data and then deciding what business to be in.” This thinking represents a profound shift in how businesses make product decisions.
For instance, a maker of cosmetic products for women could deploy a connected cosmetics case that would be able to discern which products a consumer is actually using, how frequently she is using them and the current level of each consumable.
云连接的应用程序不仅可以确定何时提供及时的补给，而且还可以使用内置摄像头来提供化妆建议。根据客户的使用模式，可以为客户的需求提供某些个性化的化妆品混合物。可能性是无止境。
The key to making this whole process — or a similar process with a different set of products — work is to design the products with data collection and advanced analytics in mind from the beginning. The products themselves will then become a principal source of valuable information to inform the future business strategy. Data thrivers will be organizations that embrace an analytics-led business strategy as intensely as other more traditional business disciplines.
Operational intelligence and digital twins
分析设计的重要组成部分是the digital twin, which is a near-real-time digital replica of a physical asset, process or system that can be used for various purposes. This digital representation of a product instance provides a historical record of its operating performance throughout its lifecycle.
Companies can compare electronic “twins” of real products with the design model to learn how they can enhance future products. Advanced analytics technologies, such as artificial intelligence and machine learning, can be used to create dynamic digital simulation models that update as their physical counterparts change, providing insights into potential customer service issues before they impact customers.
这种近实时的高级分析是一场运营情报革命的核心，该革命有望允许公司提供更好的保修和服务水平，同时降低支持成本并增加客户的参与度和亲和力。
Traditional business intelligence analytics will also be informed by accumulated sensor data and help to optimize strategic decisions. But it is an impending revolution in operational intelligence that promises to produce the most compelling benefits for connected product manufacturers.
未来的挑战
当然，收集和分析有关如何使用产品的个人数据的整个想法并非没有挑战。产品公司将需要为客户提供重大激励和利益，以共享此类信息。必须提供足够的个人隐私性，关于谁拥有产品使用数据的透明度以及影响可以使用此类信息的控制。
但是，这些担忧不应阻止公司拥抱这个连接的个性化产品的新时代，这些产品最终将为企业带来更好的客户体验和经济利益。亚马逊，谷歌和苹果等公司in-home digital assistants, are already proving that consumers will embrace connected devices that deliver both utility and security. The common thread between these companies is that they have data and analytics in their DNA. The transformative companies of the future will be the ones that rebuild their organizations to fully embrace these disciplines.
通过设计分析，即使是最不老练的公司（或产品）也可以转变为明天的数字强国。
All IoT Agenda network contributors are responsible for the content and accuracy of their posts. Opinions are of the writers and do not necessarily convey the thoughts of IoT Agenda.