Tire Force and Moment Testing is the most important aspect of data-driven tire modeling and characterization. Conventionally, huge tire force and moment testing machines are being used for testing and more recently advanced technologies such as wheel force transducers are gaining popularity. The ability of on-track testing to replicate the actual operating conditions of the tire is a great advantage over indoor testing. Even though, on-track testing seems promising, controlling numerous environmental factors to get repeatable and reliable data is a great challenge for on-track testing. Considering the high cost and lack of reliability in the data, the inclination of tire the manufacturers and OEMs towards indoor testing can be justified. Though indoor testing provides more reliable data, it is very crucial to identify and keep track of the factors responsible for causing variability in the data and these factors are highly dependent on the capabilities of the machine and service provider. This study focuses on identifying the sources of variability in the data and methods to either eliminate or compensate for the variability. The document also illustrates the potential effect of calibration and data acquisition on the variability. This study describes findings from the tests conducted on 10 tires (from two manufacturers), under testing conditions designed to induce variability in the data in order to address the above-mentioned aspects and estimate the contribution of each factor in total variability.