This add-in comes with more than 200 functions and tools. Sharing insights through data analysis got easier thanks to Power Pivot. Using logistic regression to segment incoming customers by risk. Use probability values generated by the model to weight scores for text mining or other classification tasks.Īutomatically generate predictions based on prior data and use those values to assess the validity of new data. However, you can also use data mining in a package workflow, as an input to other processes. Perform custom segmentation or custom sampling of case records.Īutomatically generate models passed on parameters. For example:Ĭreate an Integration Services package that automatically updates the model every time the dataset is updated with new customers Some tools in Integration Services are designed to help automate common data mining tasks, including prediction, model building, and processing. SQL Server Integration Services provides many components that support data mining. Integration Services Data Mining Tasks and Transformations Management Studio also contains query editors that you can use to design and execute Data Mining Extensions (DMX) queries, or ot work with data mining objects by using XMLA. You can also continue to perform tasks that use the model, such as exploring the models, processing new data, and creating predictions.
Build one-off queries, or set up queries to generate predictions for entire tables of external data.Īfter you create and deploy mining models to a server, you can use SQL Server Management Studio to manage the Analysis Services database that hosts the data mining objects. Compare models using classification matrices, or validate a data set and its models by using cross-validation.Ĭreate predictions and content queries against existing mining models. Validate models by creating lift charts, or analyzing the profit curve for models. Get detailed statistics aboutĬustom viewers are provided for each different time of model, to help you analyze your data and explore the patterns revealed by data mining. Modify the properties of mining structures, add columns and create column aliases, change the binning method or expected distribution of values.Īdd new models to an existing structure copy models, change model properties or metadata, or define filters on a mining model.īrowse the patterns and rules within the model explore associations or decision trees. The designer includes tools for these tasks: The wizard is quick and easy, and guides you through the process of creating a data mining structure and an initial related mining model, and includes the tasks of selecting an algorithm type and a data source, and defining the case data used for analysis.įor More Information: Data Mining Wizard (Analysis Services - Data Mining) Data Mining DesignerĪfter you have created a mining structure and mining model by using the Data Mining Wizard, you can use the Data Mining Designer from either SQL Server Data Tools or SQL Server Management Studio to work with existing models and structures. Use the Data Mining Wizard to get started creating data mining solutions.
The following sections provide more information about the data mining tools in SQL Server. SQL Server Integration Services contains tools that you can use to clean data, to automate tasks such as creating predictions and updating models, and to create text mining solutions.
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You can reprocess structures and models to update the data in them. SQL Server Management Studio is the interface where you manage existing data mining solutions that have been deployed to an instance of Analysis Services. You can also test the accuracy of models against a holdout data set or external data, or use cross-validation to assess the quality of your data set. The Prediction Query Builder is provided in both SQL Server Management Studio and SQL Server Data Tools to help you create prediction queries. You can browse models using viewers tailored to each algorithm, or go deeper into analysis by using the model content viewer. Model viewers are provided in both SQL Server Management Studio and SQL Server Data Tools, for exploring your mining models after they are created.
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In the wizard, you choose data to use, and then apply specific data mining techniques, such as clustering, neural networks, or time series modeling. The Data Mining Wizard in SQL Server Data Tools makes it easy to create mining structures and mining models, using either relational data sources or multidimensional data in cubes. Microsoft SQL Server Analysis Services provides the following tools that you can use to create data mining solutions: