Top 3 Data Challenges in Industrial Enterprise & How to Overcome Them


The manufacturing industry faces a lot of data challenges. Moreover, organizations have to rely more upon data to differentiate various products and derive insightful decisions with digital transformation. However, these data challenges can dampen the benefits and goals that an organization hopes to accomplish from a siloed enterprise software.

Siloedness refers to the characteristic of enterprise software. Organizations deploy this software to fulfill their specific needs. However, as companies mature, there is a natural progression, especially in the digital transformation towards departments requiring more support. This makes it highly challenging to collaborate if the software tools are not designed to work this way. 

Therefore, to realize the software’s full potential, manufacturing organizations are looking for new ways to address the challenges of siloed software like numerous sources of truth, duplicated efforts, inaccessible truth, and more. 

However, we explore these data challenges in more detail and how they influence an organization’s ability to create value from data; let’s look at how implementing a digital thread strategy can help overcome these challenges.  

Duplicated Efforts:

When any software is siloed, and an organization’s goals, shifting information from one point to another is the most significant source of unproductivity and common ways to introduce errors. Imagine the chaos that would occur if you have to manually update your calendar across all your devices for every single invite, rescheduling, or cancellation of meetings. This is exactly what manufacturing industries face on a business front. 

When software is siloed, there is always a significant amount of manual work associated with it, like transferring information across departments, functions, and organizations. The concept of communicating data manually from one system to another is not essential but is often done by employees to adapt the data from one system to another. In addition, the data is error-prone and time-consuming, which slows down the core business processes. 

Numerous Sources of Truth:

If data is duplicated across systems, this proves to be the most significant data challenge: numerous sources of truth. When there are multiple separate systems responsible for maintaining the same data, there are ample opportunities for error and misalignment of fundamental goals across departments. 

For instance, the bill of materials exists in the manufacturing execution system and a PLM simultaneously, then who is responsible for ensuring that both things are correct. In such a case, if there is disagreement, then the associated costs can be huge depending on which activity of the PLM is impacted. Moreover, these disagreements can affect the entire business process and have space for multiple opportunities for mistakes. 

The digital transformation in the manufacturing industry has resulted in more data-driven and insightful decision-making for products and services. Therefore, it is crucial to ensure consistency across systems and processes to avoid false information and multiple sources of the truth of the data. 

Inaccessible Data:

Siloed systems can access the data, enhancing the overall speed and accuracy of decision-making and analysis. However, this also results in a big data challenge. 

Firstly, these siloed systems result in the obscurity of information. This makes it difficult for employees to access data that is already outside their department. However, today departments need access to this data right from design to manufacturing to service. Moreover, the systems can have data treasures in one department that go unnoticed in other departments just because employees don’t know where and how to find them. The issue of data obscurity results from poor implementation of role-based access, resulting in restriction of data access to specific roles and departments. 

Entering the Digital Thread

With the digital thread, you can seamlessly close the loop between the physical and digital activities of the organization. This results in data consistency and accuracy across departments, improving the product and overall business processes. 

This approach will help you eliminate all the data challenges in the manufacturing sector. The manufacturing industry is implementing digital thread and proper strategy and tools to make data available across the product lifecycle for data-driven and faster decision-making. 

Moreover, it removes the challenges of data duplication and promotes value-added product information across departments and even organizations. 

Final Thoughts

Data Challenges in any industry is unavoidable and have to addressed to pave the way forward. tools such as KloudPLM helps to resolve the challenges easier and also in preparing for future challenges.

Schedule a demo today to find out how KloudPLM’s Cloud First platform can help you achieve the first step in the new era of transformational technology. 

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