Business Analytics in Manufacturing: Why it’s Critical

Recent years have seen an explosion of new business technologies, making it clear to us that we’re living in a digitally transformed world. This is particularly true for business analytics and artificial intelligence. Swift progress in analytics, data and machine learning is boosting the new era of smart businesses.

The manufacturing industry is one that has been deeply impacted by this new era of intelligence. As you know, manufacturing is data-intensive and complex. From managing and improving your supply chain, to organizing orders across production centers, to delivering those orders on time, manufacturing organizations are, by nature, consumed with data.

What is BI Software?

The expansion of data in manufacturing organizations creates an enormous opportunity to improve operations through the use of analytics applications and platforms. Manufacturing intelligence, by definition, is the ability of BI software, platforms and applications to capture, analyze and provide users with accurate insights to their operations. Applications like Microsoft Dynamics 365 and Power BI software do just that, allowing organizations to bring together disparate systems and consolidate all the company’s data into one enterprise. Through visual dashboards that are easy to consume, actionable insights from the data will be delivered throughout your manufacturing organization.

Analytics

Analytics intelligence is designed to meet the information needs of a wide variety of roles across manufacturing operations. The scope and scale of manufacturing analytics is based on the company’s need to monitor machines and processes at a very detailed level. This helps managers know when crucial maintenance needs to be scheduled. With machine learning tools, managers can be alerted when there is potential for a problem, so they can take care of the issue before the problem even occurs.

Saving the company potentially thousands of dollars. Internet of things (IoT) tools like Voice of the Operator give manufacturing shop floor workers a “voice” so they can record what they’re seeing and suggest solutions, which also helps prevent the same issues from recurring more than once.

Real time integration and monitoring of data enables manufacturing analytics software to provide more advanced and descriptive metrics and KPIs. With real time data obtained from ERP solutions like, Microsoft Dynamics 365 for Finance & Operations, and CRM solutions like, Microsoft Dynamics for Customer Engagement, contextual intelligence is provided that is accelerating the adoption of the new, more advanced KPIs.

Manufacturing cycle times improve with ‘smart manufacturing’, when there’s real-time data integration to gain greater insights into overall production performance. Today, predictive modeling and machine learning are increasingly being adopted by globally-based manufacturers to further improve manufacturing cycle times.

Blog_03.01.19_01Business analytics in is fueling a new era of “smart” manufacturing. If manufacturers don’t stay modern by integrating BI software into their operations, they may fall behind. Stay ahead of competition and gain greater business value with enterprise level systems by revolutionizing how your products are produced and delivered.

How do you see business analytics impacting your manufacturing operations? Contact us to talk with a manufacturing analytics expert today.

Author: Author: Brad Smith, Director of IoT Analytics

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