IBM SPSS Predictive Analytics – Predicting the Future

IBM Business Analytics software is designed to deliver complete, insightful, and accurate information for decision makers to make more effective decisions. As part of this portfolio, IBM SPSS Predictive Analytics software specializes in predictive analytics which organizations can rely on to predict future outcomes based on patterns found in historical data. State and Local Government, Multi-National Corporations of all sizes can benefit from the IBM SPSS technology to provide insight into current performance. They can also leverage the predictive capabilities to be better prepared for what is around the corner. Business Intelligence can help monitor current and past performance while Predictive Analytics can answer why the business is performing in a certain manner and how it can be improved in the future.

Organizations that incorporate IBM SPSS Predictive Analytics solutions into their daily operations are able to predict with a high level of certainty the result of options before they even make the decision. It can ensure that the right decisions are made, every time, at the appropriate point of customer interaction. For example, multiple cities around the United States are using predictive analytics to prevent crime by stationing police in high crime areas at historically problematic times to act as a deterrent to crime. Predictive Analytics can help organizations to gain a better understanding of various types of business processes and ultimately have a major impact on decisions that have a positive impact on company’s profitability.

IBM SPSS Data Collection

IBM SPSS Data Collection is a comprehensive survey management solution that empowers organizations to capture customer’s feedback from multiple channels including online, phone, and in person. It offers the capability to manage the entire survey process from design and data collection through analysis of the end results. By applying real time logic and data validation, organizations can make decisions faster and react to customer demands more effectively.

IBM SPSS Statistics

IBM SPSS Statistics is widely used by professionals in commercial, governmental agencies, and academic organizations worldwide. It is used to solve complex business problems, predict patterns to prevent crime, and anticipate demand based upon seasonal weather patterns.

The IBM SPSS Statistics suite of tools includes a set of components for data entry, data management, data preparation/transformation, statistical analysis, analytics procedures and reporting functions. It can take data from almost any type of file and use it to generate tabular reports, plots of distributions and trends, descriptive statistics, and complex statistics models. Customers are using IBM SPSS Statistics to test and validate assumptions faster, discover information more efficiently, and predict with a high degree of certainty what the most likely outcome will be.

IBM SPSS Modeler

Include information from unstructured data such as web activity, blog content, customer feedback, emails, and articles, along with structured numerical data to create the most accurate predictive models possible. Advanced natural language processing techniques enable users to extract key concepts, sentiments, and relationships from unstructured data and convert them to a structured format for predictive modeling.

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