Data Warehouse Analytics
DB2 can help you analyze data and explore information from different perspectives for a more extensive view of your business.
Data mining enables you to analyze patterns and make predictions. It puts historical data through mathematical functions to determine business rules. Applying business rules to new data can help predict outcomes such as customer buying behaviors, up-sell or cross-sell opportunities, customer churn or fraud.
DB2 provides various data mining models and algorithms to support this process including segmentation, association, classification and regression.
Visualization enables visual analysis of data mining results, using a Java-based results browser. Java visualizers graphically present the results of associations, demographic clustering, sequences, numeric prediction and tree classification modeling operations. Visualizers also support data from other PMML-compliant data mining applications including SAS, SPSS and Angoss.
DB2 data mining capabilities allow you to:
Unstructured data represents up to 80 percent of the data within an organization. DB2 can extract information from your unstructured business text and correlate it with your structured data to increase business insight in areas such as customer attrition and product defect analysis.
DB2 provides drag and drop processing using two types of annotators: dictionary (word lookup and annotation) and pattern based extractors. You can also view your data in different ways to improve analysis such as by statistics or row and column information.
You can produce simple reports such as using text from customer surveys. The software also allows you to process unstructured data and create multidimensional reports using OLAP capabilities. In addition, unstructured data can be integrated into data mining models to broaden predictive capabilities.