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Network World - IBM today came out with its first iteration of the analytics software package that it expects will help law enforcement, government agencies and private businesses wade through the massive amounts of data they collect to help them predict, disrupt and prevent criminal, terrorist and fraudulent activities.
The package, IBM i2 Intelligence Analysis portfolio, is based on the security software it picked up last year when it bought i2. Law enforcement agencies and corporate security departments use i2's software to pinpoint fraudulent or improper activity within their logs of operational data. The company's Analyst's Notebook digital forensic software can display a visual diagram of people, places or other entities, showing how different parties are linked.
According to an IDG New Service report at the time of the buy, i2 had more than 4,500 customers across 150 countries. The company said that 12 of the top 20 retail banks use its software. The Boston Police Department and the Criminal Justice System in Orange County, Calif., share criminal data through i2's Coplink platform. In a $9.6 million contract, the U.S. Army procured an enterprise license to use Analyst's Notebook in its troubled Distributed Common Ground Systems -- Army (DCGS-A) intelligence sharing system. Defense contractor Northrop Grumman folded i2's Coplink into a system it is providing to the Navy to track criminal information from multiple sources.
Last fall, IBM said it would bring together i2 technology with its own data collection, analysis and warehousing software. And today's announcement is an example of what Big Blue plans to do.
With the rollout today IBM said the package will give customers powerful visualization and analysis capabilities coupled with advanced data access to help organizations to manage and process information in less time, giving them more time to spend on analysis.
In addition i2 supports:
•Association, network, link, temporal, geospatial, and statistical analysis to help build a comprehensive analytical picture, revealing relationships, patterns and trends in data that can help save time and increase efficiency.
•Social Network Analysis (SNA) and quantitative analysis techniques that combine organization theories with mathematical models to help better understand and target the dynamics of groups, networks, and organizations.
•Collaborative working capabilities that support the greater organization in working together on cases, supporting sharing, teamwork, and inter- and intra-organizational communication, helping investigations to be resolved more quickly.
•Advanced connectivity and multi-source, simultaneous search capabilities that automate and accelerate the lengthy research process of capturing, collating, and enriching data.
•Searching unstructured data using powerful search capabilities to cast the net wide and deep to ensure that no data is missed in supporting investigative and operational activities.