This document discusses using Microsoft Time Series for forecasting and cross prediction. It describes setting up a data mining project in SQL Server to create a time series mining structure and model using sales history from AdventureWorksDW. The model is processed, viewed, and queried to forecast trends and make predictions. Additional data can be added to the model using DMX, and cross prediction is demonstrated by creating new queries and mining structures. Microsoft Time Series provides an intuitive way to perform time series forecasting and analysis in SQL Server data mining projects.