Business Automation and Software Blog

Business Intelligence for Manufacturing: Get Rid of the Guesswork

Posted by Robert Baran on Wed, May 29, 2024 @ 11:00 AM

Business_Intelligence_for_Manufacturing_Get_Rid_of_the_Guesswork

If you’ve ever found yourself saying, “Well, I guess so…” when asked about what’s happening on the shop floor, business intelligence for manufacturing can be a lifesaver.

What is it? It’s software, yes, but it’s also a way of looking at data that helps take the guesswork out of decisions. Real-time visibility (seeing the numbers almost the moment they change) helps managers understand exactly what’s happening in every aspect of the business, whether it’s inventory leaving the warehouse or raw materials coming in. And this data helps you plan better, because you can’t plan for the future if you don’t know what’s happening in the present.

You’ve probably got all the raw data to do better—better forecasting, better management. Now it’s a question of using it. Let’s take a look at the challenges manufacturers face and how business intelligence for manufacturing can help overcome them.

What Is Business Intelligence for Manufacturing?

Business intelligence for manufacturing is the practice of turning all the data a factory produces—like machine performance, production output, inventory levels, and supply chain activity—into clear insights that help people make smarter decisions. It acts like a business-wide dashboard that shows what’s happening, what’s slowing things down, and where improvements or savings can be made, giving manufacturers a clearer path to operate efficiently and plan ahead.

Problems Business Intelligence Solves

When data and its sources don't work together, trouble follows. Managers need to gather and compare information from multiple sources to make quick, informed decisions. Otherwise, you’re just guessing. But often, the data they need sits in incompatible devices and outdated legacy systems that don't talk to each other. That’s often referred to as “silos” or “siloed systems” by software providers, and it can be a big problem when you’re trying to bring together multiple data sources to get the big picture view.

When departments keep their data to themselves instead of sharing it across the company, everyone suffers. They may not be doing it intentionally, either. Very often, disconnected computer systems cause the problem. Older systems often don’t “talk” to each other, resulting in separate data streams that are hard to consolidate into a single view.

Manual Reports Take Time

One symptom of siloed systems is separate reports that have to be consolidated manually. If there’s someone on your team who has to pull CSV files each month and move them into a spreadsheet program to even begin to get workable reports, chances are good you’ve got a lot of siloed data.

The problem with downloading data files, uploading them into a spreadsheet program, and then producing reports is that it takes time. Often, quite a lot of time is spent on these tasks. The resulting reports may be adequate, but by the time you get them, the time to act on the information has passed.

Meanwhile, your competitor who can run business intelligence reports in near real-time has a huge advantage over you. They can react more quickly, make data-driven decisions, and run their business better with fast, reliable, and comprehensive data.

How Business Intelligence Helps Manufacturers Succeed

Now, let’s think about the manufacturer who has a modern business intelligence system. These systems connect to and combine information from multiple sources. This may include the CRM, the HR system, and the warehouse system. Some connect to your e-commerce platform so you can also track orders and update stock counts online for customers—think of the headaches that it avoids!

These systems are called enterprise resource planning (ERP) systems. An ERP system serves as the foundation, streamlining data collection and analysis so managers can access the insights they need to make smart decisions.

 

Five Ways That Business Intelligence Platforms Help You

    • Eliminates duplicate data and boosts reporting accuracy: Centralizes information, removes redundant records, and replaces manual data collection with automated processes that keep reports clean and consistent.

    • Keeps your data continuously up to date: Automatically refreshes transactions so leaders can instantly review expenses, customer activity, overdue accounts, and performance trends.

    • Delivers ready‑to‑use analytics and intuitive dashboards: Provides department‑specific views—production, inventory, sales, finance—so managers can access insights without technical expertise and explore data in charts, graphs, or spreadsheet formats.

    • Reduces storage costs: Cuts down on unnecessary document copies by maintaining a single, authoritative source of information.

    • Provides real‑time, organization‑wide access to business intelligence: Allows teams to answer questions immediately, share reports easily, and spot trends or issues early without waiting on IT to prepare or clean data.

Business Intelligence Systems - Getting Started

Imagine having hours back each month because you aren’t manipulating spreadsheets. Think about how amazing it would be to pick up the phone and answer a customer’s questions without looking at multiple computer programs because all the information is in one spot. Picture yourself pulling up data and using it to make decisions today that immediately and positively impact your company tomorrow.

You’ve gotten rid of the guesswork. That’s the power of business intelligence in manufacturing.

PositiveVision

Interested in learning more? PositiveVision works with Chicago area manufacturers to help them choose the right platforms for their needs, including business intelligence and ERP systems. We walk you through the process, help you choose the right one, and stay with you every step of the way so you get the most from your investment. Let’s talk. Contact us today. 

robert_baran

Robert Baran

Robert Baran is the founder and President of PositiveVision. He has worked in a variety of positions including system analyst, computer consultant and programmer, project manager, and division manager.

Topics: business intelligence for manufacturing