A1000-199 Assessment: IBM Planning Analytics v2.1.x Analyst

Exam Content Outline: IBM Planning Analytics v2.1.x Analyst

1. Planning Analytics Architecture and Environment

Core Components: Understanding the role of the TM1 server, the Planning Analytics Workspace (PAW) interface, and the Planning Analytics for Excel (PAx) integration.

Security and Administration: Identifying basic security structures, user authentication, and defining object-level security.

Environment Navigation: Navigating the workspace effectively to manage books, views, and data assets.

2. Data Modeling and Cube Management

Dimension and Hierarchy Management: Creating and managing dimensions, elements, and complex hierarchies (e.g., attribute-based hierarchies).

Cube Design: Understanding cube structures, data types, and the relationship between dimensions and cubes.

Data Loading and Management: Utilizing TurboIntegrator (TI) processes to import, manipulate, and export data.

Calculation Logic: Implementing rules and feeders to support business logic, including cross-cube calculations and time-series analysis.

3. Report and Dashboard Development

Advanced Reporting: Utilizing Planning Analytics for Excel (PAx) to create dynamic, complex reports, including custom layouts and snapshots.

Dashboarding in PAW: Building interactive dashboards using visualizations, such as charts, gauges, and maps.

Interactive Analytics: Configuring synchronized views and selectors to allow users to drill into data, perform "what-if" analysis, and adjust planning assumptions.

Content Sharing: Managing the distribution of reports and dashboards to target audiences using workspaces and folders.

4. Advanced Analytics and Planning

Forecasting and Predictive Analytics: Applying built-in predictive capabilities to generate time-series forecasts based on historical data.

Scenario Modeling: Creating and managing multiple versions/scenarios to support budget and forecast comparisons.

Data Entry and Manipulation: Enabling efficient data input, including sandboxing, spreading, and proportional allocation techniques.

Workflow Integration: Managing the planning process flow, including data submission and approval cycles within the application.

5. Troubleshooting and Optimization

Performance Monitoring: Identifying common bottlenecks in rules, feeders, and cube structures.

Data Integrity: Validating data consistency across reports and cubes.

Error Resolution: Identifying issues within TI scripts, rule files, and interface configurations to ensure robust application performance.

Note: As this is an "Assessment" exam (indicated by the "A" prefix), it typically serves as a foundational or intermediate-level checkpoint for practitioners to demonstrate competency in the specific functional areas listed above.

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