Our imaginary baking empire has had a lot to consider on their journey. From scalable supply chain management issues to usability in connectivity, we’ve really put them through their paces and seen how they rise (no pun intended!) to any challenge. One problem they’ve faced is how to make their use of data affordable. From oven temperatures to product viability, their facilities produce mountains of data and they need a way to make it usable. Even more importantly, they need those means to be affordable. During their initial growth period, their systems were very manual. Unconnected equipment needed to be read manually, with that information being loaded into siloed systems that failed to handle data in a meaningful way. From their shop floor operatives through to their sustainability champions, no one had easy access to the data they needed to make meaningful change. On top of that, any data collection and processing they did required excessive time and resources committed to it. They needed to commit people to checking the machines for readouts. They needed to commit hours to getting these readouts loaded into a clunky system. Then they needed to commit resources to making this data usable. This was costing them too much and holding them back from scaling in a way that worked. Affordability How GloboBake cost their data SHOP FLOOR CONNECTIVITY ACROSS YOUR SUPPLY CHAIN