Data Visualisation for Business Operation

This workshop is designed for professionals aiming to master the art of data visualization in business contexts.

Data Visualisation for Business Operation

Program Intro

This workshop is designed for professionals aiming to master the art of data visualization in business contexts. Participants will learn to understand the situational context for visualizing data for targeted audiences, evaluate data's relevance for various business operations, and select the most effective visualizations for conveying specific messages. The program includes techniques for enhancing design using preattentive attributes, principles of effective visualization, and strategies for creating compelling data stories that capture attention, stimulate discussion, and drive actionable decisions. Ideal for those looking to elevate their presentation skills and influence strategic outcomes through insightful data storytelling.

Program Duration

8 Hours

Training Objective

• Understand the situational context of visualising data for targeted audiences.
• Evaluate the usefulness of data for visualising different business operations.
• Choose appropriate visualisations to communicate the intended ideas and messages.
• Enhance the design of visualisations using preattentive attributes and visual elements.
• Validate the structure of visualisations based on the expressiveness and effectiveness principles of data visualisation.
• Finally, create a data story that captures the audience’s attention, drives a robust discussion, and influences actionable decisions.

Who Should Attend?

• Corporate Executives and Decision-makers
• Data Analysts and Scientists
• Business Analysts
• Marketers
• Human Resources Professionals
• Entrepreneurs

Program Outline

09:00AM - 09:30AM
Session 1: Overview
• Welcome and icebreaker activity.
• Workshop objectives and agenda overview.
• The exploratory and explanatory role of data visualisation for business operation.

09:30AM - 10:30AM
Session 2: Understanding Context for Visualisation
What and why do we need our audience to know or do?
• Consider the audience, communication mechanism, and desired tone when creating visual content.
• Case study scenarios and group discussions on articulating ideas and messages in context.

10:30AM - 11:30AM
Session 3: Evaluating Data for Visualisation
What data do we have to show to our audience?
• Sourcing data for the right audience.
• Strategies for validating data for the right usage purpose.
• Interactive activities on evaluating data for different audiences and usage purposes in business operation.

11:30AM - 12:30PM
Session 4: Choosing Appropriate Visualisation
What is the best way to communicate data to our audience?
• Overview of the commonly used types of visualisation.
• Dissecting a visualisation based on marks and channels.
• Practical exercises to identify appropriate visualisation for different data sets and usage purposes.

12:30PM - 01:30PM
Lunch

01:30PM - 02:30PM
Session 5: Enhancing Visualisation Design
How to direct our audience’s attention to our message?
• The Gestalt principles of visual perception.
• Common visualisation challenges and how to address them by eliminating clutter.
• Interactive activities demonstrating strategic use of preattentive attributes to focus your audience’s attention.

02:30PM - 03:30PM
Session 6: Expressing Effective Visualisation
So what message have we communicated to our audience to know or do?
• The expressiveness and effectiveness principles of visualisation.
• Effective visualisation based on affordances, accessibility, and aesthetics design choices.
• Case study scenarios and group discussions on examining the thought process and design choices that lead to effective visualisations.

03:30PM - 04:30PM
Practice Session: Creating a Data Story
• Using the storytelling framework to construct visualisations for business presentations.
• Participants create a data story combining different sets of data visualisation for a targeted audience.

04:30PM - 05:30PM
Closing Session: Presentations and Discussions
• Presentation of selected data stories.
• Group discussions and peer feedback on data stories.

05:30PM - 06:00PM
Wrap-up
• Q&A
• Summary of key takeaways and next steps.

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