Data visualisation VISL

(unchanged)

Facilitating understanding of data by displaying concepts, ideas, and facts using graphical representations.

SFIA 9 is in development

SFIA 9 beta due in early July 2024
SFIA 9 planned for publication October 2024

Moving to SFIA 9

New level 2 added to support entry-level roles
Guidance notes and levels updated to reference developing narratives and storytelling around data
SFIA 8 skill descriptions will remain available for you to use
Previous SFIA assessments are not impacted by this change

Guidance notes

(modified)

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
developing narratives and storytelling around data to enhance understanding and support decision-making.

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.

Understanding the responsibility levels of this skill

Where lower levels are not defined...

Specific tasks and responsibilities are not defined because the skill requires a higher level of autonomy, influence, and complexity in decision-making than is typically expected at these levels. You can use the essence statements to understand the generic responsibilities associated with these levels.

Where higher levels are not defined...

Responsibilities and accountabilities are not defined because these higher levels involve strategic leadership and broader organisational influence that goes beyond the scope of this specific skill. See the essence statements.

Developing skills and demonstrating responsibilities related to this skill

The defined levels show the incremental progression in skills and reponsibilities.

Where lower levels are not defined...

You can develop your knowledge and support others who do have responsibility in this area by:

Learning key concepts and principles related to this skill and its impact on your role
Performing related skills (see the related SFIA skills)
Supporting others with tasks (generic examples are provided by the essence statements for each level)

Where higher levels are not defined...

You can progress by developing related skills which are better suited to higher levels of organisational leadership.

Levels

Defined at these levels:

Click to learn why SFIA skills are not defined at all 7 levels.

Show/hide extra descriptions and levels.

Level 1

Level 1 - Follow: Essence of the level: Performs routine tasks under close supervision, follows instructions, and requires guidance to complete their work. Learns and applies basic skills and knowledge.

Data visualisation: Level 2

Level 2 - Assist: Essence of the level: Provides assistance to others, works under routine supervision, and uses their discretion to address routine problems. Actively learns through training and on-the-job experiences.

(new)

Creates routine data visuals using an established product and visualisation techniques, as advised.

Helps maintain existing visualisations.

Data visualisation: Level 3

Level 3 - Apply: Essence of the level: Performs varied tasks, sometimes complex and non-routine, using standard methods and procedures. Works under general direction, exercises discretion, and manages own work within deadlines. Proactively enhances skills and impact in the workplace.

(modified)

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.

Assists in developing narratives around data sets to support understanding and decision-making.

Data visualisation: Level 4

Level 4 - Enable: Essence of the level: Performs diverse complex activities, supports and supervises others, works autonomously under general direction, and contributes expertise to deliver team objectives.

(modified)

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. Develops narratives around data sets to guide decision-making processes and enhance understanding of key insights.

Contributes to exploration and experimentation in data visualisation.

Data visualisation: Level 5

Level 5 - Ensure, advise: Essence of the level: Provides authoritative guidance in their field and works under broad direction. Accountable for achieving workgroup objectives and managing work from analysis to execution and evaluation.

(modified)

Leads exploration of new approaches for data visualisation. Establishes the purpose and parameters of the data visualisation.

Oversees the use of data visualisation tools and techniques. Communicates results using appropriate methods for the target audience.

Advises on the use of data visualisation for different purposes and contexts to satisfy requirements. Develops plans to meet user needs.

Collaborates with stakeholders to identify key insights and create compelling narratives that effectively communicate the story behind the data to drive decision-making processes.

Level 6

Level 6 - Initiate, influence: Essence of the level: Has significant organisational influence, makes high-level decisions, shapes policies, demonstrates leadership, fosters organizational collaboration, and accepts accountability in key areas.

Level 7

Level 7 - Set strategy, inspire, mobilise: Essence of the level: Operates at the highest organisational level, determines overall organisational vision and strategy, and assumes accountability for overall success.

New level Small change