Published On: May 25th, 2023

Business Intelligence (BI) has completely transformed the way organizations operate by providing actionable insights through clever data analysis. In the manufacturing industry specifically, BI has played a critical role in streamlining operations and reducing costs. However, as the world continues to evolve technologically, so does BI. In this blog post, we will explore emerging trends and technologies in manufacturing that are shaping the future of BI.

Internet of Things (IoT)

The Internet of Things (IoT) refers to the interconnectedness of physical devices that collect and share data. In the manufacturing industry, IoT sensors can be used to monitor machine performance, track inventory levels, and even measure the quality of finished products. BI tools can then be used to analyze this data and provide insights into areas that need improvement. For example, if a particular machine consistently experiences downtime, BI can help identify the root cause, enabling manufacturers to take corrective action before the issue escalates.

Artificial Intelligence (AI)

Artificial Intelligence (AI) is a rapidly growing technology that is changing the manufacturing industry.
In BI, AI can be used to automate data analysis, predict trends, and identify patterns that may not be apparent to the human eye. For instance, by analyzing business production data, AI can identify the optimal production schedule to maximize output while minimizing waste. AI can also be used to predict future demand for products, allowing manufacturers to adjust their production schedules accordingly.

Cloud Computing

Cloud computing has definitely become a game-changer for BI, especially in the manufacturing realm. By storing business data in the cloud, manufacturers can access it from anywhere, on any device, making it easier than ever to share information and collaborate with internal teams.

Cloud-based BI tools also offer more flexibility, scalability, and cost-effectiveness compared to more traditional on-premises solutions.Additionally, cloud-based BI solutions offer enhanced security, with data encryption and multi-factor authentication features built-in. There’s no doubt that the future of BI in manufacturing is bright, with emerging trends and technologies promising to transform the way organizations operate. By leveraging IoT, AI, Predictive Analytics, and Cloud Computing, among other emerging trends, manufacturers definitely gain a competitive advantage by being able to make data-driven decisions that increase overall efficiency, reduce costs, and improve product quality.

Predictive Analytics

Predictive Analytics is a subset of BI that uses data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. In manufacturing, predictive analytics can be used to forecast demand, anticipate equipment failure, and optimize production schedules. By analyzing data from various sources, manufacturers can make more informed decisions about their operations, reducing costs and improving efficiency overall.

As technology continues to evolve, we can expect to see even more exciting developments in BI that will further shape the future of manufacturing. Wondering how you can utilize BI to streamline operations in your company and increase productivity and efficiency? We’ve worked with dozens of clients across many industries. Get in touch with our team here at Triple Helix Corporation. We can review your current processes and procedures, make suggestions, and guide you in the direction of implementing solutions that actually work to help you get ahead of your data.


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About The Author: Jason Bittner

jason bittner

CEO and founder of Triple Helix Corporation, since 2004. For over two decades, Jason has worked closely within the Aerospace/Defense/Manufacturing industries. He excels at solving technical challenges by integrating data and information technologies with best business practices. Jason takes an avid interest in educating his readers with the latest news in information management, as well as providing keen insights into the most efficient methodologies for the best operating companies today and into the future.