InfoSphere Optim reduces risk and costs, speeds solution delivery, boosts performance and addresses compliance requirements for databases, warehouses and big data environments. Data lifecycle management is the process of managing business information throughout its lifecycle, from requirements through retirement. Data lifecycle management spans different application systems, databases and storage media and is part of an overall Information Integration and Governance Strategy. By managing data properly over its lifetime, organizations are better equipped support business goals with less risk.
Data mining provides organizations with a clearer view of current conditions and deeper insight into future events by analyzing historical data. IBM SPSS® Modeler Professional is a data mining workbench used to analyze structured data to create predictive intelligence. This intelligence allows business decisions to be made based on the data, rather than “gut feel”. Businesses of all types have found that they can use the predictive intelligence of IBM SPSS Modeler to attract customers, strengthen their loyalty, reduce customer attrition or “churn” more cost effectively, decrease fraud and minimize risk. Public sector organizations have benefited from using Modeler to predict workforce capacity, proactively respond to public safety issues, manage the student lifecycle, improve classroom performance and address many other operational challenges.