Dr Michael Capone Principal Analyst - Capgemini The data generated by IoT-enabled machines, vehicles and devices can provide companies with insight into user behaviour that they can use to create a personal connection with their customers. Companies are, therefore, scrambling to implement IoT systems in order to generate, capture, protect, and analyse this valuable data. But the insights created are only valuable when they trigger consequent decisions and timely actions. There are many potential users of IoT data such as marketing, sales, held service, product development, customer support, operations, and supply chain not to mention external users like vendors and partners. Each user group needs to be able to access and select different data and apply different logic and analytic approaches to perform specific tasks. Furthermore, each group can have unique usability requirements. As companies become more IoT mature and start to plan for “data actionability,” the disadvantages of a homogenous IoT stack or departmental systems become obvious. The best option from a data quality, user acceptance, and ROI perspective is a microservices IoT platform.