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Effective Data Visualization and Persuasive Storytelling
As awareness of data analytics grew over the last decade, it is now considered a core capability in many organizations today. As such, many individuals and organizations have invested heavily in building such capabilities; however, many continue to struggle to realize sustainable value from analytics.
Much of the investments have been focused on building the "hard" data skills related to analytics; such as statistics, data engineering, data management, analysis etc. Part of the reason why many organizations fall short lies in the "last mile" of realizing value from analytics; more specifically, how to glean pivotal messages from data, how to make large & complex data sets accessible and how to structure and tell a story from the data that makes the audience care.
This workshop aims to address such capability gaps; especially for professionals and managers who have some experience with analysis; but are finding some challenges in making an impact delivering the "last mile" of value in analytics. This workshop is specifically designed to round up the final pieces in the analytics value chain to help organizations achieve sustainable value in analytics.
Much of the investments have been focused on building the "hard" data skills related to analytics; such as statistics, data engineering, data management, analysis etc. Part of the reason why many organizations fall short lies in the "last mile" of realizing value from analytics; more specifically, how to glean pivotal messages from data, how to make large & complex data sets accessible and how to structure and tell a story from the data that makes the audience care.
This workshop aims to address such capability gaps; especially for professionals and managers who have some experience with analysis; but are finding some challenges in making an impact delivering the "last mile" of value in analytics. This workshop is specifically designed to round up the final pieces in the analytics value chain to help organizations achieve sustainable value in analytics.
Objective
By the end of this course, the participants would be able to
- Appreciate the impact that data storytelling has on the realization of value in analytics; particularly in today's data driven world
- Understand the key principles and elements of building an impactful data visual
- Gain exposure to various data visualization techniques and tools
- Gain exposure to building impactful and interactive infographics and dashboards
- Understand the principles and building blocks of data storyboard
- Gain exposure to building and conveying data stories in a concise, coherent and compelling manner
Outline
- Data analytics overview
a. What is Data Analytics?a.i. A general introduction of the concept of analytics; including the general applications and the potential of analytics to inform, explain and guide decision makinga.ii. Case studies - See how some notable organizations have successfully deployed analytics to great effect (Walmart, Target, Google etc.)
b. Analytics value chainb.i. Foundations for sustainable analytics - understand what it takes to build analytics capabilitiesb.ii. The Analytics Value Chain and role of Data Visualization and Storytelling
c. Six-steps frameworkc.i. The six-steps analytics framework from problem to decision makingc.ii. Problem definition - Effective data visualization
a. Principles of data visualizationa.i. Case studies - Effective data visualization examples (Crimean war 1850s, Planned Parenthood, Global poverty)
b. Selecting the right charts
c. Visualization good practices
d. Class exercises with MS Excel - Visualization for data exploration
a. Visualization for data exploration & demo
b. Class exercise - Visualization for reporting
a. Design principles for infographics & dashboard
a.i. What is a dashboard?
a.ii. Key design requirements:- Purpose - What is the dashboard supposed to accomplish? Who is the dashboard intended to help and how?
- Development - Data sources, frequency of update, data quality, distribution method, technology platform etc.
- Delivery - How will users gain access to the platform? Is access exclusive? Are there data concerns? Training and technical support?
- Evolution - Measuring and ensuring success; evolving with maturing organizational needs
b. Demo of visualization platformsb.i. Infographics examplesb.ii. Dashboards examples
c. Class exercise: Build your own infographics & dashboards with MS Excel - Visualization for storytelling
a. People hear statistics and data; but feel stories. Good data story telling appeals to both the emotional and logical mind and allows audiences to make objective decisions about topics they care about
b. Persuasive storytelling: It takes more than just data to deliver value in analytics; it takes the right combination of hard and soft data skills. Particularly the soft skills in interpreting the analytical outcomes in the right context, to prioritize the many findings and to tell a concise, coherent and persuasive story
c. Storyboarding
c.i. Key components of effective data story-telling- The opening act
- The main act
- The concluding act
c.ii. Class exercise & presentation - Bringing all together: Capstone Business Case Exercise
a. The participants will work on a capstone business case exercise with the concepts and techniques they have acquired in this course
b. The final presentation, which should include the following: Complete data story supported by data visuals and dashboard / infographics, summary of findings (each supported by data & analysis) and recommendations
c. Group Presentation & Discussion
Who should attend
This workshop is designed for managers, professionals and staff at all levels who want to learn make a bigger impact with their analysis, particularly in enhancing their understanding and skills in data visualization & storytelling. The course is suitable for participants across all industries and job functions. Participants are required to have basic MS Excel skills; some prior knowledge of data analytics would be helpful.
Methodology
We take a practical approach to analytics, and therefore the workshop emphasizes practical analytic skills through learning of key principles and analytics skills. A combination of lectures, discussions and interactions, as well as hands on exercises are designed to enable participants to acquire those practical skills. This workshop utilises MS Excel for all the computer-based exercises. Participants are required to bring their laptops with MS Excel (ver. 2010 or later)
Particular of Jeremy Poon
Jeremy has more than 30 years of commercial and professional experience, which include leadership roles across many sectors and geographies; such as telecommunication, hospitality MICE and government across Asia Pacific.
Prior to joining FYT, he led the application of the MVNO license with IDA for a large multinational company and worked with command, control & communication solutions.
Jeremy consults and leads engagements to help clients build analytics capabilities in their organizations. He brings his broad & extensive experience and makes the topic come to life with realistic examples and practical applications.
Jeremy has a Bachelor’s degree in Electrical & Electronics from the National University of Singapore as well as a Certified Associated from the Institute for Human Resource Professionals (IHRP).
