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Enterprise IoT Strategies

Organizations can reap considerable benefits by adopting the Internet of Things (IoT), but designing an enterprise IoT strategy for the technology is far from simple. In general, enterprise IoT solutions are inherently large and span multiple businesses and operational teams. Plus, the technology is confusing and doesn’t automatically integrate with existing business applications. As such, enterprise Internet of Things platform deployments can be overwhelming, even for organizations that have been successful in rolling out complicated IT projects in the past.

However, that’s not to say enterprise IoT solutions are prohibitively complex – organizations just have to prepare in advance. With that said, here are a few strategies the enterprise can employ to ensure that their IoT deployment is as smooth and seamless as possible:

1. Define critical considerations. A successful enterprise IoT deployment should begin with defining critical considerations for the entire solution, such as security, device connectivity, and IoT analytics. Stakeholders should select each of these metrics and understand how the technology will impact them. In addition, the entire team needs to be on the same page regarding results, and all outcomes should be trackable and measurable so success or failure can be easily determined.

2. Identify hardware and software needs. Enterprise IoT rollouts come with new hardware and software demands that need to be identified before the project begins. First, stakeholders need to determine precisely what the solution will require, based on the organization’s goals for the deployment. Then, they need to identify which existing devices will be incorporated, and what sensors, adapters, bridges, and hardware will need to be sourced. And finally, the enterprise will need to establish a plan for managing the devices, ensuring continuous connectivity, availability, and security.

3. Bolster security. IoT security is critical for enterprise deployments to ensure data and network integrity. To begin, stakeholders should establish a plan to encrypt data in transit and at rest, as well as implement policies to identify a select group of employees that are permitted to control the devices and access secure dashboards. In addition, we recommend integrating the new policies into existing security best practices, to avoid blind spots. 

4. Leave space for predictive analytics. In the very near future, predictive analytics will be one of the most valuable aspects of enterprise IoT networks, with algorithms revealing actionable insights that drive business results. When creating the pipeline and planning the deployment, we strongly recommend leaving ample space to add a predictive analytics solution at a later time. 

Case Study: IoT is redefining the customer experience. Nokia case study.

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