Woman in a hardhat holding a laptop

Leveraging Business Intelligence and Data Analytics in Manufacturing

02/22/2024 Written by: Michael Sibley, CPA, James Moore

In today's world, manufacturing companies must leverage business intelligence (BI) and data analytics to gain real-time insights for informed decision-making and efficient strategizing. Data analytics, often considered a form of storytelling, can predict potential issues like machine failures and production lags, enabling proactive responses.

By analyzing key performance indicators, business leaders can be alerted to potential problems, and data analysis can identify the causes. For instance, if production costs exceed expectations, data can pinpoint the source, such as a new employee needing training or a sick employee needing help.

Daily data availability helps shift from reactive to proactive strategies. During crisis periods, like the pandemic, real-time data aids in managing inventory against throughput and expectation measurements. Machine learning enhances data processing capabilities, identifying crucial factors humans may miss.

Data can also be used to build predictive models, incorporating historical and external data with current trends, to anticipate future occurrences like increased orders. Predicting changes in demand, machine hours, raw material prices, and labor shifts can better inform investment decisions and necessary machine maintenance, allowing companies to be proactive about inspections and repairs.

Business intelligence and data analytics can also provide customer insights. By analyzing customer data, manufacturers can identify trends and patterns in consumer behavior, leading to better product development and targeted marketing strategies. This approach not only enhances the customer experience but also increases customer loyalty and satisfaction.

Moreover, BI and data analytics can aid in supply chain management by providing visibility into supplier performance, inventory levels, and lead times. It allows manufacturers to identify bottlenecks and make improvements, which ultimately leads to better collaboration and trust with suppliers.

Business intelligence and data analytics are essential tools for critical insights. To learn more about how data can transform various facets of manufacturing, check out this article from James Moore or contact our manufacturing team.


Need more insights? The AssuredPartners Manufacturing team can help.

Contact Us
Why-Go-Green
Why Go Green?
Manufacturing06/18/2024

The manufacturing industry has increasingly realized the value of green initiatives, driven by the urgent need to address climate change, comply with regulatory requirements, and meet consumer demand...

The-Value-of-Lean-Six-Sigma-in-Manufacturing
The Value of Lean Six Sigma in Manufacturing
Manufacturing05/20/2024

Manufacturers use Lean improvement and the Six Sigma model to improve processes and eliminate waste. In this article, we'll briefly examine the history of these models to discover how manufacturers...

manufacturing insurance
6 Ways AI Will Transform Manufacturing ERP and QMS Systems
Manufacturing03/08/2024

AI is increasingly being integrated into software platforms used in manufacturing to enhance various aspects of production and operational processes. AI’s integration into Enterprise Resource...