Proficiency
Educate users, measure impact and establish best practices
Maximising analytics investments and capitalising on the transformative potential of data means that everyone encountering it – regardless of skill levels and data fluency – must be able to turn data into insights effectively. Beyond data capabilities, this also means employees actively seek using data over decision-making by instincts or feelings. The Proficiency workstream is focused on user education, measuring adoption and engagement, and increasing data fluency within your organisation through best practices.
Education
You’ll build scalable and ongoing learning plans for your users by evaluating their relationship to data and fitting training to their needs and learning styles. In addition to Tableau-specific skills, users will need to understand your company-specific processes for working with data. You should also develop accountability systems to validate and celebrate their knowledge – like certifications.
This topic covers:
- Skills by Tableau education role
- Skills by Tableau licence type
- Developing a Tableau education plan
- Accountability and reward systems
Measurement
You’ll measure user engagement and adoption to help ensure the content being created and consumed is discoverable, fresh and relevant. Understanding the relationship between data sources and workbook content, users, and server performance, scalability and sizing is a reliable way to look into current usage and plan for future growth.
This topic covers:
- Tableau administrative roles and responsibilities
- Tableau administrative views
- Tableau Server content utilisation
- Tableau user engagement
- Content size and performance
- Compliance
Analytics best practices
You’ll enable your users with documented guidelines, standards and processes for the discovery, interpretation and presentation of data. In developing and making these enablement resources available, you’ll introduce, reinforce and institutionalise best practices that drive behavioural change and informed decision-making.
This topic covers:
- Why visual analytics?
- The cycle of visual analysis
- Visual best practices
- Organisational assets
"Tableau helped position Allstate Special Investigation Unit as an industry leader. Before, it was always numbers in rows and columns. Now it's so much easier to actually see the trends, the story and the power the data brings. Tableau has unleashed a creativity in me as an individual, and with that problem-solving, it has unleashed the power of data."
