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Everyone should be data literate

Data literacy is the ability to read, analyze, and communicate to others with data in context, including an understanding of data origins and constructs. In this golden era of digital and data, we do not need to be Facebook or Walmart to build a data lake in our company. With the advancement in both hardware and cloud-based systems, this opportunity is now readily available to every company for a modest cost.

As organizations amass much more data at an unprecedented rate, it becomes increasingly important for all employees — and not just data scientists — to be data literate so…


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The first 9 months of 2020 have been an eventful period in my professional career. I am leading both the Digital and Advanced Analytics department as well as the Business Innovation and Experimental department in a multi-national company. What is interesting is that the company decided to park a small business unit within the business innovation department with the good intention of accelerating innovation, experimentation, and design a new go-to-market model for the industry. It is a lofty vision but challenging when it comes to execution.

First Step — Vision Alignment

In 1961, President John F. Kennedy was visiting NASA headquarters for the first time…


Almost every organization, big or small, has some type of digital transformation roadmap and has made at least some investment in exploring digital. In the past few weeks, an image floated around social media platforms, suggesting that COVID is the main force driving digital transformation in their companies. Before COVID, digital transformation had already been a ubiquitous topic in the business world. However, COVID might be the mega-event that creates urgency and forces every organization to accelerate digital.

Having a cool and flamboyant digital strategy or investment is no longer the differentiating factor. Instead, the differentiating factor is the ability…


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I recently caught up with some friends in Singapore, with whom I shared ideas on how to lead, build and develop a high-performing data science team in the organization. I will share my opinions in this article.

With the rapid explosion of data generation, it is becoming more important to use data science to generate insights in almost every organization. However, I have also heard and read articles that portray data science as hype or a bubble. This is understandable, especially when we put an academic powerhouse into a commercial environment. Doing good science requires a huge amount of effort…


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Introduction — Study the last 3 revolutions to understand and estimate the impact of this revolution

We are at the doorstep of the 4th industrial revolution. During the previous three industrial revolutions, the world that entered the beginning of each revolution ended up looking different on the other side, particularly with respect to technology, socioeconomics and culture. Each revolution resulted in massive disruptions. For example, the emergence of mass-production factories created changes for businesses or people who were “producing” their product through a massive amount of labour. This created a whole range of remarkable outcomes, including leaps ahead in terms of the standard of living and life conveniences as well as the standardisation of the number…


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Recently, I have been asked by quite a number of executives from various industries on what are my thoughts on the role of data scientists in future, and how this might have an impact within any organization that aspire to be “more data driven”. Honestly, I don’t exactly know what will happen in future but we can make some reasonable deductions based on several trends:

  1. More sophisticated and robust data science algorithms will still likely continue to be open source and advancement in technologies will make deployment of algorithms much easier — This would “lower” the barrier for people with…

Andy Teoh

Digital and Advanced Analytics Professional | Entrepreneurial Maybe? | Networker |

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