IBM SPSS Decision Management

2015: IBM SPSS Enterprise

IBM SPSS Enterprise is a set of solutions for predictive analytics and data analysis. For 2015, the following solutions were included in the range of solutions:

• IBM SPSS Modeler is a product that solves the problems of 'data mining' - data mining, which allows you to detect previously unknown and non-trivial patterns in "raw" data.
• IBM SPSS Collaboration & Deployment Services - a platform for implementing data mining in the company's business processes
• IBM SPSS Analytical Decision Management - Use data mining for faster and more efficient decision making.

2014

By using a modern math machine to work with different types of data, SPSS technologies significantly expand the capabilities and boundaries of business intelligence systems . The SPSS product line is based on four software platforms:

• IBM SPSS Data Collection for data collection and cleansing.
• IBM SPSS Statistics for data research by statistical processing and outcome visualization methods.
• IBM SPSS Modeler to identify patterns hidden in large amounts of information.
• IBM SPSS Collaboration and Deployment Services to embed analytics into business processes and integrate SPSS capabilities into applications.

See also - Predicative analytics

2011

Predictive analytics allows you to anticipate changes so that you can plan and carry out your activities, while achieving better totals. By applying predictive analytics methods to existing data, you can identify unexpected turns of events and connections in advance, and then develop models that offer proactive actions. This means that you can prevent the loss of the most valuable customers, sell additional services to existing customers, more effectively develop products that are successful in the market, or identify and minimize fraud and other risks. Predictive analytics provide the knowledge needed to predict development, as well as confidence and strength for the right actions.

2010

Proactive analysis involves defining templates and predicting future results based on the processing of existing data. Such solutions, according to developers, will be able to interest financial and insurance companies (risk management functions), as well as trading and production companies (efficiency assessment and product placement).

Unlike Cognos products, SPSS development focuses on predicting future situations and extracting knowledge from enterprise information arrays. The mathematical methods of classification and forecasting used in SPSS products are, according to both companies, a strong complement to Cognos analytical capabilities.

It is assumed that customers will be able to increase the efficiency of their work by using forecasting capabilities, rapid response to changes in the market situation, risks and consumer behavior.