The difference between time series data and other data is that the analysis can be used to indicate the change of variables with time. Time, in other words, is an important variable since it reveals how the data changes across the structured data points as well as the end results. It gives another source of information and a fixed order of dependencies among the data. Time series analysis usually involves a great amount of data points to provide consistency and reliability. The large scale of Time Series Analysis Services guarantees that you have representative sample size, and analysis is able to cut through noisy data.