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Time series data is all about continuous monitoring of your machines to detect trends with your batches. If you don't collect and analyze the data, you might feel that you don't have capacity to meet customer demand and might be forced to acquire additional capacity or facility if you don't miss the opportunities. But the additional capacity might be right there within your facility and existing machines. Just because you may not have enough data points to draw conclusions from, you may not be aware of it. Also, even if you start collecting it, you might have to incorporate more variables to keep learning until you get to the bottom of the anomalies and trends you might be getting through your data.

In today's episode, our guest, Jim Gavigan, shares his insights on the importance of time-series data and why it is important to understand your capacity. He also discusses the role of historians in enterprise architecture and how it interfaces with other systems. Finally, he discusses the similarities in the manufacturing processes of various industries and how to perform batch analysis to spot anomalies and detect trends.

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.