Top 5 Reasons IIOT Projects Fail

IIOT holds significant promise for manufacturers, yet many organizations struggle with understanding where to begin and how to gain value from the data they collect.

75% of IoT projects are not considered successful.

Cisco Study

The Cisco study reveals an unfortunate reality that is playing out among many manufacturers that attempt to implement an enterprise-wide, customized Industry 4.0 initiative. The complex, risky projects often experience cost overruns, delays and don’t deliver the desired business outcomes. 

We’ve outlined the 5 reasons most IIOT projects fail, and how Automation Intellect’s pre-built IIOT solution and approach to implementation was designed achieve Industry 4.0 success.

1. Projects Take Too Long

Gartner estimates 75% of IoT projects take up to twice as long as planned.  Customized, enterprise-wide initiatives that start at the top of the organization can take years to develop, configure and test before deploying into production. 

Automation Intellect’s IIOT solution can be implemented in just days. Our dashboards are purpose built to deliver the data insights manufacturers need to improve machine and plant performance. By getting data visibility in a matter of days, manufacturers are able to make immediate improvements, reducing downtime and increasing throughput.

2. Enterprise Has Limited Experience

Digital innovation in manufacturing is so new that there is rarely an internal resource who has experience with similar projects. The Cisco IoT study found that engaging in outside expertise is a top factor for successful digital initiatives.

Automation Intellect was built by experts in manufacturing and technology. Our sole focus is on continually building cutting edge technology that is purpose-built to improve and optimize machine and production performance. 

We assign a Six Sigma trained coach to each customer to help identify data insights that improve production performance, uncover opportunities and increase revenue. 

3. Cost Exceeds Expectations

Customized, enterprise-wide initiatives with lengthy development timelines often result in continual scope creep and cost overruns. There are many unknowns at the onset of large projects including connectivity and integration issues, plus the cost of extra sensors, gateways and converters.  

Large internal IT projects run 45% over budget and deliver 56% less value than predicted.

McKinsey Digital

Manufacturers also underestimate the cost of maintaining and upgrading IIOT technologies with internal resources. 

With Automation Intellect’s monthly subscription pricing, manufacturers know what their costs will be from the start. Plus, there is no large CAPEX investment upfront. 

There’s no need to worry about maintenance with our SaaS solution and all users benefit from the continuous innovations and improvements made to our technology. 

4. Poor Collaboration Among Teams

One of the biggest challenges to IIOT success is driving adoption and change management among users. The apprehension among employees to embrace new technology can even halt a project in its tracks. In order for Industry 4.0 to be successful, users must be highly engaged and collaborative on continuous improvement initiatives using new technology. 

Automation Intellect’s customer success manager makes it easy for your team to understand and use our software to improve plant floor operations. Training is available at the time of implementation as well as on-site or online sessions  on a continuous basis. 

To improve collaboration, our Virtual Manager module gives managers the ability to hold meetings with team members on the fly, wherever they are. The module also includes a ‘Live Chat’ function that encourages collaboration and problem solving.  

5. Quality of Data is Poor

Before implementing IIOT solutions, most manufacturers were manually collecting data on paper. While moving to automated data collection in an IIOT solution is efficient, it’s only as effective as the quality of the data that is gathered. There will always be a reason to enter some data manually. The problem is, many IoT technologies do not have a way to input data manually while also putting it into context. 

Automation Intellect pulls data directly from the machine for real time, high quality data. In addition, our manual entry screens allow users to enter the data and contextualize it with the production data that is automatically collected. 

Whether you are just beginning your Industry 4.0 journey or in the midst of an initiative, Automation Intellect can help. Contact Us Today to schedule a demo or learn more about our IIOT software for manufacturers.