There are a number of steps in the brewing process, including malting, milling, mashing, lautering, boiling, fermenting, conditioning, filtering, and packaging. Each and every one has it’s own individual data streams that are essential for developing a clear technical picture of each step in the process. As important as the individual data streams are, however, is the inter-relationship of these steps.
Using enhanced data visualization, factors that affect product quality can be rapidly identified further enabling definition of key performance indicators in early development. Leveraging historical data allows small scale model verification and insights into challenges of scale up. Contact us to learn more about the tools and applications we use to rapidly visualize data and derive direction from it.