video1.0<iframe src="https://www.loom.com/embed/9e6b068f0e4345de855410386765df9f" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/9e6b068f0e4345de855410386765df9f-d3152bf66c687460.gif181.478In this video, I’m excited to introduce our new Core Analytics experience for the Miro Control Center. With this tool, you can analyze key metrics like average cleaning time, number of cleaning visits, and consumable usage to address specific issues effectively. I walk you through a scenario where we investigate a quality complaint about the elevator bay area, revealing that it has an average cleaning time of only four minutes over the past two months. By drilling down into the data, we identify that two cleaners are not servicing this area, allowing us to have a productive conversation with our staff to improve service quality. I encourage you to explore these analytics to enhance our operations and resolve similar issues in the future.