IBM i2 iBase is a powerful database management and analysis tool primarily used for data integration, investigative analysis, and building visual representations of complex relationships. It’s widely used in law enforcement, financial services, and other sectors for analyzing data, identifying patterns, and gaining insights into data sets.

1. Introduction to IBM i2 iBase

• Overview of IBM i2 iBase and its role in intelligence and data analysis.
• Key features and benefits of iBase.
• Architecture and components of IBM i2 iBase.
• Key terminology (e.g., entities, links, events, relationships).

2. Installation and Configuration

• Installing and setting up iBase.
• Configuration of iBase settings.
• Defining and managing user profiles.
• Understanding database setup and storage configuration.

3. Data Modeling and Schema Design

• Understanding the iBase schema structure.
• Creating and modifying entity types (e.g., People, Locations, Organizations).
• Designing relationships between entities (e.g., “worked with,” “owns,” “located at”).
• Managing and creating custom fields and attributes.
• Data types, fields, and data integrity.

4. Data Import and Export

• Importing data into iBase from various sources (e.g., spreadsheets, databases, text files).
• Using the Import Wizard for importing structured data.
• Exporting data and reports to external formats (e.g., Excel, CSV, XML).
• Data mapping and transformation during import.

5. Data Entry and Data Validation

• Manual data entry into iBase.
• Using forms for structured data entry.
• Validation rules for data quality.
• Managing duplicates and errors in data.

6. Searching and Querying Data

• Overview of the iBase query builder.
• Creating basic and advanced searches to find specific entities, relationships, and data points.
• Using filters, conditions, and logical operators in queries.
• Creating Saved Queries for repeated use.
• Using Boolean and wildcard searches to refine results.

7. Data Analysis and Link Analysis

• Using iBase for link analysis (identifying relationships between entities).
• Building graphs, network diagrams, and timelines to visualize relationships.
• Identifying and exploring hidden patterns in data.
• Analyzing large datasets to detect anomalies or insights.

8. Visualization and Reporting

• Creating and customizing visualizations (e.g., relationship graphs, entity diagrams).
• Working with i2 Analyst’s Notebook for advanced visualization (if integrated).
• Generating and formatting reports.
• Exporting visualizations to external formats (e.g., images, PDF).

9. Working with Timelines

• Creating timelines to visualize events and relationships over time.
• Using dates and time-based data to identify trends and patterns.
• Understanding the timeline visualization interface and settings.

10. Security and Access Control

• Setting up and managing user roles and permissions.
• Implementing security best practices for sensitive data.
• Controlling access to specific entities or data within iBase.
• Audit logging and monitoring access activities.

11. Integration with Other IBM i2 Products

• Understanding how iBase integrates with other IBM i2 tools (e.g., i2 Analyst’s Notebook).
• Data sharing between iBase and other analytical tools.
• Workflow integration using i2 products to streamline investigations.

12. Advanced Data Analysis Techniques

• Using advanced search techniques for deep data dives.
• Automating analysis and reporting tasks.
• Scripting for iBase using advanced query languages (e.g., SQL or custom scripting).
• Working with large datasets (handling performance and scalability).

13. Troubleshooting and Optimization

• Common troubleshooting techniques (e.g., import/export errors, query failures).
• Performance tuning for large databases and queries.
• Optimizing data storage and indexing.

14. Best Practices

• Best practices for structuring data in iBase.
• Tips for efficient data entry, query writing, and report generation.
• Managing data integrity and avoiding common pitfalls.