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Duration 14 hours
Course Outline
1. Introduction to Advanced Spotfire Analyst
- Establishment of course objectives and curriculum agenda
- Architectural review of the Spotfire platform
- Comparative analysis of Spotfire Analyst and Spotfire Web Client functionalities
- Implementation of best practices for advanced data analysis for government stakeholders
2. Spotfire Server and Environment Overview
- Identification of core components within the Spotfire infrastructure
- Procedures for establishing secure connections to the Spotfire Server
- Configuration of authentication protocols and user role definitions
- Administration of user preferences and system settings
3. Navigating the Spotfire Web Client
- Operational workflows within the Web Player interface
- Procedures for opening and disseminating analytic content
- Application of bookmarks and filtering mechanisms
- Management of individual and shared digital assets
4. Managing Libraries and Information Assets
- Organization of library structures and asset hierarchy
- Publication of analyses to the central library
- Implementation of version control and content management standards
- Regulation of permissions and access rights in compliance with governance policies
5. Collaboration and Secure Content Sharing
- Protocols for sharing analytical insights with internal teams
- Configuration of user roles and granular access controls
- Oversight of collaborative workflow processes
- Adherence to best practices for secure data exchange for government entities
6. Creating Information Links and Accessing Enterprise Data
- Conceptual framework of the Information Designer
- Construction of Information Links
- Integration with relational database systems
- Handling of multiple heterogeneous data sources
- Optimization of data retrieval performance metrics
7. Advanced Data Preparation
- Techniques for data transformation and cleansing
- Application of data wrangling methodologies
- Management of calculated columns and fields
- Execution of pivot and unpivot operations on datasets
- Combination and joining of multiple data tables
8. Advanced Visualizations
- Design of complex charts and executive dashboards
- Implementation of map charts and geographic analysis
- Generation of scatter plots, box plots, and heat maps
- Construction of hierarchical visualization structures
- Application of interactive filtering and drill-down capabilities
- Adherence to visualization design standards for government reporting
9. Advanced Analysis Using Expressions
- Development of calculated values and custom expressions
- Utilization of OVER functions
- Implementation of nested expression logic
- Execution of custom calculations
- Definition of dynamic measures
- Optimization of expression performance for scalability
10. Creating Interactive Dashboards
- Configuration of Property Controls
- Implementation of input controls and parameters
- Application of dynamic filtering techniques
- Management of document properties
- Design of user-driven dashboard interactions
11. Integrating Statistical Engines
- Introduction to data function capabilities
- Integration of R statistical language with the Spotfire environment
- Execution of R scripts within the platform
- Application of TERR for advanced statistical analysis
- Automation of statistical workflows for efficiency
12. Data Relationships and Predictive Analytics
- Analysis of relationships between disparate datasets
- Conduct of correlation and regression analysis
- Foundations of predictive modeling concepts
- Construction of predictive analytic workflows
- Evaluation of model performance and accuracy
13. Multivariate Data Analysis
- Exploration of multidimensional data structures
- Application of clustering techniques
- Execution of Principal Component Analysis (PCA)
- Identification of emerging data patterns
- Detection and analysis of outliers
14. Performance Optimization and Troubleshooting
- Strategies for enhancing dashboard performance
- Optimization of data loading processes
- Management of large-scale datasets
- Resolution of common Spotfire operational issues
- Maintenance of analytic integrity and stability
15. Best Practices and Real-World Applications
- Standards for dashboard design and usability
- Examination of common implementation scenarios in the public sector
- Recommendations for governance and security compliance
- Review of case studies and practical applications for government operations
16. Summary and Hands-on Workshop
- Comprehensive review of key technical concepts
- Execution of an end-to-end practical exercise
- Opportunity for inquiry and clarification (Q&A)
- Identification of additional learning resources and next steps
Requirements
- Prior experience with the Spotfire platform is required.
Audience
- Business Analysts
Testimonials (2)
Professional and very practical, usuefull in a daily work
Jozefin Rekasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
I liked Pablo's style, the fact that he covered a lot of subjects from report design , customization with html to implementing simple ML algortithms. Good balance theoretical information / exercices. Pablo really covered all topics i was interested in and gave comprehensive answers to my questions.