IBM i2 Enterprise Insight Analysis
IBM i2 Enterprise Insight Analysis is an open, interoperable, extendable and scalable solution
This helps organisations accelerate the data to decision process by enabling them to perform analysis and advanced analytics at scale and with critical speed.
IBM i2 Enterprise Insight Analysis is available in two editions: Core and Advanced.
Whether your organisation is challenged by large amounts of communications data or looking to turn disparate data into a clear operational picture, Portal Analytics can help you implement i2 Enterprise Insight Analysis to turn massive amounts of data into actionable insight in near real time to support timely decision-making.
IBM i2 Enterprise Insight Analysis Core Edition provides the capability for rapid insight and speed to decision for organizations using smaller data sets.
IBM i2 Enterprise Insight Analysis Advanced provides the capability across massive data volumes with additional identity resolution and advanced analytics in order to cope with that data volume. Both editions help the analyst to uncover hidden connections buried within data, bringing rapid clarity to complex investigations and generating actionable insights, in near-real time.
i2 Enterprise Insight Analysis Features:
- Uncovers hidden patterns and relationships in data by performing advanced analytics at scale and at speed.
- Supports operational and technical interoperability by integrating with existing infrastructure and third-party solutions and data sources as well as facilitating information sharing between and among organisations.
- Uses a modular design that can be extended with a host of accompanying add-on capabilities,allowing for system customisation and support for a wide array of analytic requirements at the tactical, operational and strategic levels.
- Offers a cost-effective solution designed to enable organisations to be self sufficient, thereby helping to reduce training, maintenance and deployment costs.
“IBM i2 products gave us real-time protection against fraud, as we were able to run incoming requests against our own intelligence in our existing fraud database and receive automatic alerts on any matches.”