The first step in our collaboration was to learn as much as possible about the company's business objective and how best to help them reach those goals through digital solutions. Together with our partner, we identified areas for improvement and designed a comprehensive solution to address their needs.

The first challenge we tackled was ensuring data quality and uniformity, as well as quick collection and storage in a centralized data lake. For this task, we used Azure. Once we had a better overview of the data and validation procedure in place, we developed predictive algorithms using machine learning to help the partner’s team perform their tasks and gather actionable insights. Then that information could be used to optimize operations and create a positive impact.

With a more dependable stream of data coming from the production line, we created custom reports and analytics in Power BI to help the company monitor its system’s performance. We took great care to make the reports user-friendly and intuitive, so users could more easily spot areas of concern and correct them as needed.

Lastly, we developed a suite of easy-to-use apps that relay useful factory metrics via a web or mobile interface. With this software, the company could gather real-time insights and analyze their impact. Due to more reliable insights, business decisions became easier and with more easily forecasted results.