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| Challenging Topics in IBM Cognos Analytics | Description |
|---|---|
| Advanced Data Modeling | In-depth modeling techniques, including multi-dimensional data cubes and performance optimization. |
| Custom Report Development | Crafting complex, custom reports with calculations, nested queries, and unique formatting. |
| Predictive Analytics | Understanding and implementing predictive modeling, machine learning, and statistical analysis. |
| Data Integration and ETL | Challenges in data extraction, transformation, and loading from diverse sources. |
| Custom Dashboard Design | Designing visually appealing and interactive dashboards for data visualization. |
| Advanced Scripting and Automation | Utilizing scripting languages (e.g., JavaScript, Python) for automation tasks. |
| Performance Tuning and Optimization | Optimizing IBM Cognos Analytics for performance, especially in large-scale environments. |
| Integration with Data Warehouses and Big Data | Integrating IBM Cognos Analytics with data warehouses and big data platforms. |
| Security and Access Control | Implementing robust security measures and role-based access control. |
| Advanced Analytics Features | Leveraging features like geospatial analytics, sentiment analysis, and NLP. |
