Data visualisation VISL
Facilitating understanding of data by displaying concepts, ideas, and facts using graphical representations.
Updates for SFIA 9
- There is an updated version of this skill for SFIA 9.
- Theme(s) influencing the updates for this skill: Continued refinement for data and analytics skills, Making SFIA easier to consume (enhance readability/guidance/descriptions), Making SFIA easier to consume (new levels).
- New level 2 added to support entry-level roles.
- Readability improvements have been made to levels 3, 4, and 5.
- You can move to SFIA 9 when you are ready - SFIA 8 skill descriptions will still be available to use.
- Previous SFIA assessments or skills mapping are not impacted by this change.
Guidance notes
Activities may include — but are not limited to:
- condensing and encapsulating data characteristics, making it easier to surface opportunities, identify risks, analyse trends, and drive effective decision-making
- presenting findings and data insights in creative ways to facilitate the understanding of data across a range of technical and non-technical audiences.
The skill is typically put into practice by using specialist analytics tools. Specialisation in this skill implies a requirement to use more than just standard office software to create graphical representations of simple data.
Levels of responsibility for this skill
| 3 | 4 | 5 |
Data visualisation: Levels 1-2
This skill is not typically observed or practiced at these levels of responsibility and accountability.
Data visualisation: Level 3
Uses a visualisation product, as guided, to design and create data visuals.
Selects appropriate visualisation techniques from the options available.
Engages with the target user to prototype and refine specified visualisations.
Data visualisation: Level 4
Applies a variety of visualisation techniques and designs the content and appearance of data visuals.
Operationalises and automates activities for efficient and timely production of data visuals.
Selects appropriate visualisation approaches from a range of applicable options.
Contributes to exploration and experimentation in data visualisation.
Data visualisation: Level 5
Leads exploration of new approaches for data visualisation.
Establishes the purpose and parameters of the data visualisation. Provides overall control to ensure the appropriate use of data visualisation tools and techniques.
Formats and communicates results using textual, numeric, graphical and other visualisation methods appropriate to the target audience.
Advises on the appropriate use of data visualisation for different purposes and contexts to satisfy requirements. Develops plans showing how the identified user needs will be met.
Data visualisation: Levels 6-7
This skill is not typically observed or practiced at these levels of responsibility and accountability.