Business Intelligence for Manufacturing Companies
Making production processes more efficient, reducing costs and increasing margins are the enduring challenges in the manufacturing industry. Business Intelligence (BI) provides the tools to translate data into decisions. With BI for manufacturing companies, you improve your efficiency, strengthen your position and put your company in a stronger financial position.
How Business Intelligence helps manufacturing companies grow
Manufacturing companies collect a lot of data every day. Think of machine hours, inventory movements, production times, quality reports. Without analysis, that data remains unused and you make decisions based on gut feeling. Business Intelligence for manufacturing companies puts you in control. You manage costs by identifying waste, substantiate investments with facts and react immediately to failures or market signals. By keeping a grip on daily performance and long-term trends, you are able to make better strategic choices.
How BI works for manufacturing companies
Business Intelligence pulls data from your ERP systems, MES software, sensors and other sources. You analyze those figures and get them clearly presented in dashboards tailored to your function. Think of your production costs per batch, rejection rates or energy consumption per unit. You see immediately where you can make adjustments and which investments pay off.
Data as the basis for success
Deep insights with Business Intelligence
A solid Business Intelligence solution helps manufacturing companies turn raw data into clear dashboards. We do this through a carefully constructed roadmap in which each element plays an important role.
Step 1: The ETL process - foundation of reliable data
The first step is to extract data from a variety of systems, such as ERP, CRM and spreadsheets. Then this data is thoroughly cleaned and standardized. In this way, we ensure that the information you ultimately use is of high quality. This ETL process forms the basis for all further analysis and provides assurance that you are working with consistent and accurate data.
Step 2: The Data Warehouse - One Central Source
After the ETL process, the cleaned data is stored in a central data warehouse. This offers several advantages:
- Uniform information: All departments work with the same, reliable data set.
- Scalability: Suitable for companies from 100 to 10,000 employees, so the solution grows with your organization.
- Security: Your data is stored and managed to the highest security standards.
This way, you will always have a solid foundation on which to base your financial and operational decisions.
Step 3: Power BI - Insights that speak
The final stage is to visualize the data via Power BI. Our dashboards are designed to present complex information simply and clearly. This allows you to:
- Identify trends and bottlenecks: Instantly see which regions or product lines are performing better.
- Faster decision-making: Actionable insights enable immediate response to change.
- Real-time overview: Always access to the latest data, so you're never behind on market trends.
KPIs for Manufacturing Companies
These KPIs will keep you on your toes
With Business Intelligence for manufacturing companies, you measure performance against concrete Key Performance Indicators (KPIs). These figures show you where you can work more efficiently, secure quality and safeguard profits:
- Overall Equipment Effectiveness (OEE): You measure machine effectiveness through availability, speed and quality. An OEE below 80% calls for action - maintenance or replacement.
- Production Cycle Time: You clock the time from start to finished product. Shorter cycles increase your output and reduce your unit cost.
- Scrap Rate: You calculate the percentage of defective products. At 5% rejection on a line of a thousand units, you lose fifty pieces - that adds up.
- Energy Consumption per Unit: You track how much energy each unit costs. A 10% decrease can save tons in energy costs.
- Inventory Turnover: You check how often your inventory turns. At a ratio below 4 per year, capital accumulates in your warehouse.
- Downtime Percentage: You record how often machines are down. One hour of downtime on a line with €10,000 daily turnover costs you money immediately.
You use BI to monitor these KPIs and compare them to your goals. Say your OEE drops because of wear and tear: you weigh repair costs against a new machine. Or your Scrap Rate increases due to a supplier - time to negotiate. This way you steer in a focused way and avoid unnecessary losses.
Discuss your Business Case
Book your 30-minute session with one of our Intelligent Automation specialists.
