Maximise return from your analytical assets
The whole purpose of having predictive analysis embedded and central to your business is to put the output of the analytical process to work where it can make a difference, whether that output is predicting customer behaviour, forecasting demand or identifying and flagging out of tolerance risk.
It is essential that your models are deployed and the entire process managed. When the people who develop predictive models can effectively collaborate with the people in the business who use the output of the analytical process your overall efficiency will improve. By enabling automation and integration of processes you will begin a cycle of continuous improvement. When you deploy models at the point of interaction your return on investment will accelerate rapidly.
With IBM SPSS Collaboration and Deployment Services you will be able to:
- Store analytical assets in a central, searchable repository and enable standardisation and the re-use of models
- Develop and implement custom interfaces that run analytical processes enabling much greater control over the entire process
- Empower non specialist users to generate their own output with browser based, wizard like interfaces
- Make analytical processes operational by initiating specific routines (scores or reports on demand, at a specific time or triggered by another independent event)
Widely share critical business information easily and securely
IBM® SPSS® Collaboration and Deployment Services lets you manage analytical assets, automate processes and efficiently share results widely and securely. Because when the people developing and the people using analytics can collaborate, your analytic efficiency increases.
SPSS Collaboration and Deployment Services includes capabilities to help you:
- Collaborate so you can develop and implement analytics across the enterprise.
- Automate so you can construct flexible analytical processes that can be deployed throughout your operations – ensuring consistent results.
- Deploy by embedding analytic results in front-line business processes while integrating with your existing infrastructure with standard programming tools and interfaces.
- Store analytical assets in a central repository, making it easier to locate them, share with others, reuse models and other assets and standardize best practices.
- Protect the business by controlling access to analytical assets and by using version control to ensure that the right copies are being used in production processes.
- Publish information easily from within analytic tools – developing custom interfaces for running those processes and giving analytical power to business users to control how they see and use analytics.
- Collect information on the outcomes of executed decisions to refine predictive models and future optimal answers.
- Use a visual interface to construct flexible, analytical processes – including those that involve multiple steps and tools – that deliver consistent results.
- Run jobs on demand, or on a set schedule, or when triggered by other events – orchestrating complex jobs across multiple systems and applications through event notification.
- Govern the environment in which the analytical processes occur, thereby increasing confidence in results.
- Take advantage of an automated process for evaluating predictive models that uses a champion-challenger approach for relevant results.
- Deliver analytical results as customer interactions are occurring through integration with business user systems – combining information gathered during the interaction with historical data to determine the next best action.
- Deploy streams created in SPSS Modeler to be executed in an operational environment.
- Incorporate features that ensure scalability, reliability and security.
- Integrate with existing authentication systems for authentication and single sign-on capabilities.
- Support application server clustering and virtualization for more effective use of resources.
- Create a unified platform that can increase the impact of your analytics investment with IBM SPSS Collaboration and Deployment Services for System z. This version combines the predictive analytics power of IBM SPSS Modeler and IBM SPSS Analytical Decision Management with the security, high availability and reliability of the System z platform.