{"id":2198,"date":"2020-01-17T01:24:34","date_gmt":"2020-01-16T22:24:34","guid":{"rendered":"http:\/\/kusuaks7\/?p=1803"},"modified":"2024-01-26T09:52:08","modified_gmt":"2024-01-26T09:52:08","slug":"the-road-to-iot-success-runs-through-dpa","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/iot\/the-road-to-iot-success-runs-through-dpa\/","title":{"rendered":"The Road to IoT Success Runs through DPA \u2026"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tDespite several wins and digital transformation initiatives involving Internet of Things \u2013 consumer or Industrial (aka IIoT) –\u00a0ROI from IoT is still a challenge<\/a>. At least that is the impression.\u00a0Vodafon\u2019s 2017\/2018 Barometer of IoT<\/a>\u00a0shows trends and positive results in the adoption of IoT in different industries. According to the survey \u201c74% agree that digital transformation is impossible without IoT.\u201d The study does reflect some concrete ROI returns and success from those who have been adopting IoT. Interestingly, the report indicates\u00a0IoT is being integrated in existing business processes.\u00a0<\/em>As we shall see, this business process centricity (which we called\u00a0Process of Everything<\/a>), is the key to\u00a0IoT success<\/a>.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tIoT\/IIoT\u00a0\u00a0challenges includes skills shortage, standards, security, uncertain ROI, etc.\u00a0<\/a>Usually the forecasts show the exponential growth to tens of billions of devices by 2020 and beyond. However, even though there has been some interesting ROI results as indicated in the report mentioned above, the full potential ROI of IoT\u00a0remains elusive<\/a>.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\nHow should organizations achieve ROI results to succeed with IoT\/IIoT? There are couple of approaches.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The Bottom-Connect-Up and Middle-Platform-Up Approaches<\/strong><\/h3><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tIoT\/IIoT is about connecting sensors and actuators. The foundation for connectivity, balancing range and power supply considerations is of course critical. There are several components in the overall stack and multi-tier architectures of IoT\/IIoT. The lowest levels include\u00a0physical\u00a0<\/em>devices and systems. It is precisely this\u00a0cyber-physical<\/em><\/a>\u00a0connectivity that is laying the foundation of the IoT\/IIoT era. The\u00a0Industrial Internet Consortium\u2019s Reference Architecture<\/a>\u00a0(IIRA) describes the Control Domain in the Functional View of IIRA.\u00a0The Control Domain’s Communication “connects sensors, actuators, controllers, gateways and other edge systems.” Business logic can also be applied at the edges. Increasingly,\u00a0edge computing<\/a>\u00a0is becoming extremely important in the bottom-connected up approaches. The bottom-connected-up approach focuses on with what could be done with the control and edge layers (networking, bandwidth, power, control, etc.) and moves up to achieve value.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\nAs IoT\/IIoT evolved, we saw an explosion of IoT Platforms: currently there are anywhere between 200 \u2013\u00a0450 IoT\/IIoT platform vendors<\/a>, depending on the features and taxonomies.\u00a0In others words, many. Too many! \u00a0IoT Platforms are cyber-physical\u00a0middleware\u00a0<\/em>with capabilities such as connectivity, device management, analytics, security, identity management, sensor data management, and APIs for connectivity with enterprise systems. IoT Platforms also support Cloud deployments and application development capabilities. The IoT platform approaches focuses on the middleware platform as the core enabler for IoT value.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tNow the bottom-up connectivity and middleware approaches via IoT platforms do have some merit. But the overall approach for business success and business value is achieved through top-down Digital Process Automation best practices, as discussed next.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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What is Digital Process Automation (DPA)?<\/strong><\/h3><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tFrom its early days of operational efficiency management discipline to intelligent process automation systems,\u00a0BPM has been evolving<\/a>. Artificial Intelligence, Robotic Automation, and of course Digital Technologies are now seamlessly supported or incorporated in robust BPM platforms and solutions. DPA was coined by\u00a0Forrester<\/a>\u00a0and the following reflects this evolution from traditional BPM to Digital Process Automation.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tDPA supports Low Code\/No Code development with intelligent work automation. There is a spectrum of\u00a0worker categories and work automation\u00a0<\/a>types that are supported through DPA. More importantly, DPA is about a cultural shift from silos to\u00a0end-to-end value stream<\/a>\u00a0connectivity.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Success of IoT through DPA<\/strong><\/h3><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tThere are a number of reference architecture and reference models for IoT. IoT Forum\u2019s puts collaboration and Business Processes at the top of the multi-level architecture for IoT.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\nThis is significant and spot on. Success can be achieved top-down with concrete business objectives from the get-go. Top-down business solutions involve People, Connected Devices (aka IoT\/IIoT), trading Partners, and Enterprise Applications (aka Systems of Record): all collaborating and orchestrating their activities towards concrete and measurable Key Performance Indicators (KPIs). The collaborations are in the context of End-to-End\u00a0Value\u00a0<\/em>Streams (the operating word being\u00a0Value),\u00a0<\/em>that are modeled,\u00a0automated<\/a>\u00a0and monitored through DPA for continuous improvement. DPA methodology,\u00a0competency best practices<\/a>,\u00a0and\u00a0<\/em>technology is the engine that drives IoT\/IIoT success. IoT\/IIoT constitutes a powerful extension the business processes that are supported through DPA.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\nThe top down value stream approach for IoT\/IIoT ROI is critical \u2013 it could best be achieved through Digital Process Automation.<\/em>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tIn IoT\/IIoT the ROI opportunities always involve end-to-end connectivity from the lower-level devices (sensors, actuators) all the way to the stakeholders. These could be trading partners or end-consumers. There are many layers and complex multi-tier architectures to provide the infrastructure for this value stream connectivity. DPA captures, models, automates and continuously monitors and improves the ROI value stream. It involves orchestration of Things, intelligent Edge computing, harvested AI models, and of course humans. DPA addresses silos par excellence: either within an organization or industry or across extended digital enterprises.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tHere are some examples of value streams digitized and automated through DPA for success:\n