Introduction to Time Series Forecasting
Imagine taking historical stock market data and using data science to more accurately predict future stock values. This is precisely the aim of the Microsoft Time Series data mining algorithm. Of course, your objective doesn't need to be personal profit motivated to attend this session!
SQL Server Analysis Services includes the Microsoft Time Series algorithm to provide an approach to intuitive and accurate time series forecasting. The algorithm can be used in scenarios where you have an historic series of data, and where you need to predict a future series of values that is based on more than just your gut instinct.
This session will describe how to prepare data, create and query time series data mining models, and interpret query results. Various demonstration data mining models will be created by using Visual Studio, and in self-service scenarios, by using the data mining add-ins available in Excel.
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Peter Myers has been working with Microsoft database and development products since 1997. Today he specializes in Microsoft Business Intelligence and provides mentoring, technical training and course content authoring for Microsoft SQL Server and Microsoft Office. Specifically, he works with SQL Server Integration Services, SQL Server Analysis Services (data modeling and data mining), SQL Server Reporting Services, Microsoft Excel, PowerPivot and PerformancePoint Services.
He has a broad business background supported by a Bachelor degree in applied economics, and he extends this with current MCITP and MCT certifications. He has been a SQL Server MVP since 2007.
Peter is an established presenter and enjoys sharing his enthusiasm for Microsoft products by presenting in classrooms and at user group meetings, technical events and conferences.
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