Machine translation becomes a critical piece of localization industry. With all kinds of different data, how to monitor the machine translation quality in your localized content? How to build the quality analytics framework? This paper describes a process starting from collecting the daily operation data then cleaning the data and building the analytics framework to get the insight into the data. Finally we’re going to share how to build the data collecting matrix, and the script to clean up the data, then run the analytics with an automation script. In the last, we would share the different visualized reports, such as Box Polit, Standard Deviation, Mean, MT touchpoint and golden ratio reports.