If your teams report problems in the production line and the capacity, their answer is often additional machines or people. Unfortunately, solving each problem with an additional body or machine results in unused capacity and unnecessary spending when the problem could be somewhere else. While there are tons of data available from machines and processes to make prudent financial decisions, interpreting data requires experimentation, design, and understanding each variable that may cause deviations.In today's episode, we have our guest, Martin Davis, who discusses the strategies to improve your manufacturing facilities' capacity and increase the overall equipment effectiveness of your equipment. He also discusses several stories where he used data to pinpoint the actual bottlenecks in the process, which saved millions of dollars in savings in unnecessary additional equipment purchases of equipment. Finally, he discusses several issues around data quality, describes the difference between operational and business technologies, and how each of these components fits in the enterprise architecture.For more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs.rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform.