Published By: Butleric Marketing

January 22, 2020

Siew Wearn, our Data Scientist from Malaysia, shares her insights on Data Visualisation as a Guest Speaker and Trainer in a recent Power BI workshop organised by She Loves Data.

Siew Wearn, our Data Scientist from Malaysia, helps Butleric in the research, experimentation and development of our products and services that will make positive impact on our merchants' business performances. During her free time, she writes articles and tutorials on Data Analytics and Data Science to share her experiences with like-minded individuals in the same field.  

On 18 January 2020, Siew Wearn was invited to be the Guest Speaker and Trainer for a Data Visualisation Workshop using Power BI organised by She Loves Data, a social enterprise that aims to inspire women to pursue careers in Data and Tech. In the workshop, participants had the opportunity to learn how to choose the right data, curate these data through graphical representations that helps to tell a story and highlight useful information. They even got their hands dirty through a useful case study session using Microsoft's Business Analytics tool, Power BI. 

Data Visualisation

In today's data-driven world where there is massive amount of information going around, the word "data" can be very daunting for most people. How do we make sense of these information then? This is where Data Visualisation comes in. Defined as the "graphical presentation of data", Data Visualisation is a form of visual art to help us make sense of the 2.5 quintillion bytes of data that is being generated everyday.

The human eye is naturally drawn to colours and patterns, as we tend to perceive information visually. Thus, Data Visualisation tools such as Power BI and Tableau are greatly useful in helping us understand information through creating graphical elements such as charts and graphs. Through visualisation, we are better able to identify trends, outliers and important insights.

Identifying the Target Audience

During the workshop, Siew Wearn has also explained that the first step in Data Visualisation is not about finding the problem statement, but
about identifying the target audience. In short, who are the people who will view these visualisations? In identifying these audience, you will also find out what their interests are and what kind of information they are interested in.

Types of Analytics

The four types of Data Analytics might be familiar to some of you - Descriptive Analytics, Diagnostic Analytics, Predictive Analytics and Prescriptive Analytics. Since it was an introductory workshop, Siew Wearn highlighted that the workshop was more focused on Descriptive Analytics, which is using raw data to provide insights on events of the past. In simpler terms, it uses the information on what happened in the past, to derive patterns or draw interpretation. Such insights can help decision makers to better frame their strategies for the future.

Choosing the Right Visualisation

With so many different types of visuals and charts that you can generate, one of the challenges will be deciding which chart or graph to use. This step is crucial as choosing the wrong visual aid may lead the reader into misinterpreting the information. How do we choose which visual element to use?

Siew Wearn compared 6 different charts that were generated using the same data set, which clearly shows how line charts would be most effective in the given scenario below.

Case Study on Ramen Restaurant

Siew Wearn proceeded to conduct a hands on session on a Ramen Restaurant, using a dataset of customer information and ratings. Since it was a beginner-friendly workshop, the participants managed to create charts to display information such as customer ratings, ramen style types, as well as ratings based on brands.

No Learner Left Behind

The workshop finally came to an end, after the hands on and networking session. Siew Wearn shared that during the workshop, she would ensure that no one will be left behind, regardless of each and every person's learning progress.

At Butleric, we strive to go beyond our own scope of work and are highly encouraged to pursue learning through reading, networking and experimenting with new technologies and methodologies everyday. Our founding team believes that it is important to strike a balance between our work and interests, in order for us to shine in all areas.

Moving forward in 2020, #TeamButleric will enhance its platform by generating more relevant and data-driven content for our clients in Southeast Asia. As we expand from Singapore to Malaysia and Cambodia with great talents like Siew Wearn, Butleric looks forward to bring forth our team to greater heights.

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