
All of these names are fictitious and any similarity to the names and addresses used by an actual business enterprise is entirely coincidental. To illustrate them as completely as possible, the examples include the names of individuals, companies, brands, and products. Copyright IBM Corporation 1991, 2012Ģ This information contains examples of data and reports used in daily business operations. Some states do not allow disclaimer of express or implied warranties in certain transactions, therefore, this statement may not apply to you. Contents Release Contents 2 What's New in this Release? 2 System Requirements 6 Multicultural Support 7 Hardware Specification 8 Documentation 9 Installation 9 Enhancements and Bug Fixes 10 Known Limitations 12 Contacting IBM Support 17 Notices INTERNATIONAL BUSINESS MACHINES CORPORATION PROVIDES THIS PUBLICATION "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. The program or programs covered by these release notes are designated for deployment. To install IBM i2 software at version 8.9, you must first uninstall all of your existing i2 software, and then install the new versions. Important: IBM i2 Intelligence Analysis software at version 8.9 is not compatible with earlier versions of i2 software. Combining all of this with the new task-based user interface and a set of high-quality icons, IBM i2 Analyst's Notebook offers unrivalled levels of support for analysts in their mission-critical work.

Features such as dynamic filtering, the Heat Matrix, Social Network Analysis, mapping support, and conditional formatting allow analysts to keep pace with the ever-increasing rate of operations and help to identify hidden intelligence that may otherwise have been missed.

1 IBM i2 Analyst's Notebook Release Notes Version May 2012 IBM i2 Analyst's Notebook delivers powerful analytical and visualization capabilities designed to reduce the time required to identify high-value intelligence within quickly growing data sets.
