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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

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