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The Consultancy for Connected Business

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The Internet of Things (IoT) will transform the way we do business. It enables data-driven business models, individualized production, innovative value chains, and much more. The IoT allows us to connect everything, measure everything, analyze everything and optimize everything. This poster shows mm1’s view of the seven key areas of the Internet of Things:

• 5 operational layers which transform the input gathered from the devices (“dots”) into connected business use cases and

• 2 meta layers which define the roles and rules in the IoT scenario

Look at the poster, define your position and tailor each of this seven areas to your individual context and to the partners you are working with.

Manage the business modelThink about your value proposition within the IoT ecosystem: What are the current challenges in various industries and for end customers? Which problems do you want to solve? Design your solution and evaluate how to provide it successfully to potential customer segments. Choose your suppliers and partners and define the underlying commercial model.

Manage the frameworkTo run the IoT ecosystem smoothly, you should implement compatibility and lifecycle management for all hardware, software, interfaces and protocols. This also includes gathering performance, utilization and configuration data permanently. Establish system wide security policies to ensure stability of the network and to mitigate risks. Additionally you have to define the legal frame conditions for your ecosystem.

Manage the use caseTo enable your customers’ use cases, you have to provide them with business logic and the underlying information structure. No matter if predictive maintenance, personalized health appli-cations or autonomous driving: Provide the right information for every use case - always at the right time. Making your customer’s life easier technically translates in real time information processing across a multitude of domains and industry specific rules engines.

Manage the informationTo leverage the added value within an IoT scenario, you have to utilize the available information in order to create an understanding of the world. Relate and recombine the relevant information and enrich it with historical and contextual elements. Applying pattern recognition and algorithms to the “Big Data” then generates insights for the IoT use cases.

Manage the raw dataData in the Internet of Things is characterized by heterogeneity in formats and data models and the large number of data sources. To utilize it you have to transform the raw data from the device zoo into meaningful contextual information. This requires real-time data validation and processing and the application of use case specific semantic models.

Manage the connectivityEvery customer expects basic operator management functionalities, e.g. the management of SIM cards and IP ranges. But given the broad range of connectivity options you have to provide global multi-network support to your customers. This includes virtual network management tasks like routing and switching as well as usage control and service management.

Manage the dotsA wide variety of data-delivering devices (“dots”) is the foundation of the Internet of things and all the use cases that it enables. You have to maintain the dots’ master data like IDs and status values and control the dots over the whole lifecycle via remote device management (e.g. setup, firmware update, maintenance and logging). Furthermore provide authentication, access control and data encryption functionalities for these objects.