IoT is now a booming technology due to its potential for significant financial returns as well as operational improvements. But organizations face several challenges and risks, which they fail to plan properly and execute thoroughly.

Here are some tips for recognizing and overcoming potential issues to ensure a successful deployment. According to a Microsoft study, nearly three thousand IT managers are involved in IoT projects, and about 30 percent of IoT projects fail at the proof-of-concept (PoC) stage.

In addition, 75 percent of IoT deployments that ultimately make it past the proof-of-concept stage fail to deliver the expected results.

According to the Microsoft IoT Signals report, 38% of respondents cite technical challenges as the top barriers to IoT adoption. Other factors that influence the success rate of IoT projects are lack of technical talent, limited budgets, etc.

Let's look at some best practices for successful IoT project deployment:

1. The best deployments are created by strategic technology planning

Custom IoT solutions depend on various technology components to exchange data and process it. These include sensors, devices, embedded software, connectivity protocols, cloud services and applications. This is where goals are defined, metrics are identified, teams are built, use cases are discovered, technical inventory is completed, and business processes are estimated. This is the longest segment of an IoT deployment, as it is at this stage that critical decisions are made that strongly influence all other stages.It is suggested that you launch your project with a discovery phase and manage proof of concept. This allows you to justify your idea, plan the functional and non-functional requirements of the IoT solution, recognize potential technology risks before moving on to product development.

2. Multi-team project management

Another essential step is to ensure that the organization's human resources are properly placed and organized. In particular, organizations should interpret that while an IoT program requires deep involvement from the IT team, there is a need for strong collaboration between IT and business stakeholders. IT will need to integrate with line managers to inspect the IoT systems that are needed to improve both the top and bottom line.

IoT solutions are compound, multi-layered systems. Companies have the skills and human resources to present the components developing the logic of a connected device under one roof. To get your team on the same page, you need to carefully plan your IoT project, identify the skills your IT department is lacking, and appoint the technicians needed to make the IoT project successful.

3. Take a comprehensive view of managing endpoints and devices on the network.

Normally, network management tools have been asked to notice whether devices and systems are on or off, working properly or not. But with IoT, your deployments need to consider in-depth analysis of endpoint behavior and network health. In addition to direct discovery of uptime and availability, IoT systems must immediately determine if systems and devices are operating at the levels described to meet the business objective. They also need to be tightly managed, without the need to assign teams of administrators to manually analyze and tune systems to ensure performance and reliability.

Connectivity is an important variable in successful IoT deployment, and it's not just about getting more bandwidth or beefing up systems. You'll need automated management tools to take the burden off your already overburdened network team to ensure general and continuous connectivity in your increasingly dense and extensive IoT network mesh.

4. Design an IoT solution with high flexibility

Most companies find it difficult to scale IoT solutions and abandon their projects after the demonstration phase. To avoid this, it's important to plan the system architecture and choose a technology platform with the current and projected workload of the IoT solution in mind.

This may require you to work with a skilled business analyst throughout the project lifecycle. The IoT solution you design should meet the customer and user requirements from a scalability perspective.

5. Security is a central parameter. Plan and act accordingly

Remember, you are connecting many devices that no one is supposed to connect to your physical, virtual or cloud networks. And we're not considering consumer endpoints such as cars or refrigerators. Important business components, such as dialysis machines, injection molding systems, and inventory sensors, are among the unconnected and unmanaged endpoints of the industrial IoT.

IoT security is the most important technology decision you'll ever make, due to its great influence on regulations, finances, legislation, user experience and brand reputation. Your IoT systems must be there to not only observe the emergence of new types of endpoints, but also immediately analyze their access and benefits within the framework of policy and recognition management. Your IoT systems must be able to monitor various procedures accuratelyand must prevent attacks before they infect your systems, applications as well as data.

There are many places where IoT projects may not reach their full potential or, in some cases, fail completely. That's why business leaders need to take a thorough view of IoT deployments, starting with primary discussions about goals and challenges, then moving on to fine-tuning the workflow, selecting the right tools, controlling people and processes, estimating the right things, and reviving goals, expectations, and plans on a structured basis. The IoT course will definitely help you build your IoT career.