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April 30 - May 1, 2025
North Javits Center | New York City

Data Science in Manufacturing: 3 Case Studies Demonstrate How Data Science Can Optimize the Manufacturing Sector

Organizations are increasingly leveraging data-driven insights in the manufacturing world to make smarter decisions, optimize processes, and deliver higher quality products, all while minimizing waste and costs. Below are real-world examples of how businesses are leveraging the analytical and predictive power of these technologies to reach unprecedented levels of efficiency, precision, and productivity.

  • Streamlining multi-source data into one place Grimco, an international wholesale sign-supply manufacturer, had customer data housed in three different systems that made uncovering actionable insights and reporting difficult. The organization worked with Pyramid Analytics to design an embedded data tool enabling the blending of multi-source data into a single source.
  • Building self-service enabled data tools for engineers Vitesco Technologies provides the automotive industry with components used to make electric, hybrid and combustion powertrains. As the industry moves toward electrification the rapid pace of modernization requires data and insights be available to its engineers quickly and easily. Vitesco and Dremio partnered on a self-service analytics solution that gave its engineers and analysts secure, on-demand access to data tools to optimize and modernize the manufacturing process.
  • Realizing the “Digital Plant of the Future” Global chemical manufacturer Celanese worked with Cognite and Microsoft Azure to produce a consistent reliable and predictable data environment that consolidated operational, information and engineering technology data into a single repository. The solution, which leveraged several Microsoft Azure products, supports the manufacturing floor, field service, and business goals.

Want more examples? This report from Deloitte provides an overview of advanced technologies, including data analytics, that are helping manufacturers in the new era of smart factories.