Companies across the world are embracing digital transformation to stay competitive and evolve to meet customers’ changing needs and expectations. One such technology is the Internet of Things (IoT), which is taking digital transformation to new heights.

IoT can be applied across a span of industries, from healthcare to infrastructure, and those in between. Nowadays, more and more organizations are relying on IoT to accelerate business processes and gather critical operations data.

The Internet of Things (IoT) has the potential to change the world, just as the Internet did. Maybe even more so. - Kevin Ashton 

Any significant change in a company can be a potential liability as each company has its own operating needs and financial limitations. When considering a change like adopting IoT, organizations should focus on creating detailed deployment plans.

According to Statista, the global market for IoT end-user solutions is expected to grow to $1.6 trillion in size by 2025.

IoT Deployment Roadmap

Creating a roadmap for IoT deployment can help companies understand some of the common pitfalls that can delay implementation. These pitfalls can even cause a whole project to fail. It’s critical to understand the major problems that might affect and derail your IoT initiatives. Here are 5 pitfalls to be aware of:

• Going Over Budget: Companies can run over budget, which can affect the project and firm financially.
  
  
• No Cross-Team Collaboration: It’s vital to integrate teams with each other. Without collaboration, the implementation can fail or become unnecessarily challenging.
  
  
• Limited Expertise: A lack of IoT experts can affect implementation however companies can either hire new employees or can outsource the project to IoT implementation specialists.
  
  
• Compromised Data Quality: Data quality is vital for any IoT implementation.
  
  
• Unclear Deadlines: The target date of starting and ending a project is important to keep progress on track. Not maintaining deadlines not only affects a project’s progress but also leads to a waste of time and resources.

Who Should be Involved in IoT Implementation?

IoT transformation can be challenging. Companies should focus on the following stakeholders and relevant departments to ensure success.

Management

When a business is transforming into a data-driven business, it’s essential to introduce a culture that helps people understand the fast-moving nature of the technology. Proper management is essential and plays a vital role in the overall digital transformation of the company.

Workers and Trainers

One of the benefits of using intelligent, IoT-connected machines is that it eliminates routine maintenance and monitoring. However, this implies that many old jobs will be obsolete. But instead of removing workers from their jobs, use their skillsets and knowledge to solve problems using new data to improve productivity at factories.

Their experience of the system will be helpful in a smooth digital transformation of the workplace and bring continuous improvements to the manufacturing process. IoT is fast and it requires experts who can deal with the technology to help run the company more efficiently. Create new departments and job roles to manage massive data. Providing training to the teams across the company to help them understand their job roles is another vital aspect

Data

Industries require new architectures to store data for easy distribution, and cloud-based analysis can help make the architecture easy and mandatory for multiple locations to share machine status. This allows quick implementation of the best practices across the factories. IoT creates better visibility for enterprises on each supply chain level and allows optimization of every aspect for more profit in the business.

IT Department

A fully integrated IT department of a company doesn’t just handle the technical work but also plays a crucial role in keeping the work running smoothly. An IoT-powered IT department can inform workers about maintenance requirements, reduce downtime, and provide better control over quality during the processing and distribution of products and services. However, it’s advised to standardize all data processes throughout the company.