Optimize manufacturing processes to improve products and enhance brands
Manufacturing businesses rely on continuous improvement and innovation to thrive. But today, innovation is not just about manufacturing new products – it’s also about using data to improve every aspect of operations. With data science, manufacturers can find new ways to improve quality assurance programs, reduce equipment downtime, manage supply chain risk, and forecast demand. Manufacturers embracing data science to the fullest can dramatically improve core operational functions and see their products and brands stand out in the marketplace.
Ensure high product quality
Detect production issues early on and evaluate the impact on your business. Provide input to product design and operations to fix the issues before they become a problem.
Anticipate maintenance needs
Identify potential problem equipment that will impact your business and needs fixing. Reduce maintenance costs through preemptive maintenance scheduling.
Manage production risks
Identify potential risks to production from vendor problems to weather to macroeconomic issues. Score supplier quality and accuracy and detect issues that need your immediate attention.
Forecast demand for better planning
Gain insight into demand for products to allocate production resources in the most cost- and profit-efficient way. Ramp resources up and down and retool at optimal times.
Use data from your production processes to optimize productivity while keeping product quality high and deterioration under control.
Lightning Fast Data Science
RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment. Organizations can build machine learning models and put them into production faster than ever, using RapidMiner’s lightning fast visual workflow designer and automated modeling capabilities. More than 350,000 data scientists in over 150 countries use RapidMiner products to drive revenue, reduce costs, and avoid risks.