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IoT presenting a complex data ecosystem

By May 15, 2019 No Comments

The delivery of IoT services is often dismissed as relatively straightforward when it comes to the level of sophistication of the device type and subsequent service complexity. A long life, low energy sensor which requires basic connectivity to perform its duty is a classic example of the types of applications which have diminished the perceived complexity in IoT service delivery.

In reality, IoT applications often necessitate high availability and high reliability as prerequisites, particularly for critical services, and such requirements for goliath volumes of data are not straightforward to deliver. Orchestrating connectivity for the automotive industry, for example, is no easy feat. We are working with one of the most innovative operators in the world, who are priming 80% of the global connected car business, and delivering on comprehensive data management is integral to their leadership in this market.

Let’s park for a moment the sheer data processing complexity of delivering this service in the cloud to over 200 countries. Delivering IoT services on a global scale requires the effective management of partnerships at a local level – In this case, with a growing number of both car manufacturers and domestic carriers. So here we are talking about a highly complex data ecosystem with inordinate volumes of highly varied data. All of which needs to be reconciled, charged for and commercial agreements settled. Sounds simple, right?

Where a unified data management platform rationalises this complexity, it also allows for the initiation of new IoT services across an expanded portfolio over time. This modular, microservices-based flexibility allows innovative operators to be nimble and commercially airtight in their new vertical initiatives.