It’s all about striking the right balance

Son Le Thanh (Son)
DataFrens.sg
Published in
2 min readOct 8, 2023

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Photo credit Unsplash

Had lunch with Maximilian Jackson — head of data science and engineering at GetGo — together with a data science and a data engineer colleagues from his team. I learned that GetGo Carsharing is very much a data-driven organization to be profitable for second straight year, revenue surges by over 300%.

In today’s fast-paced world, businesses are constantly seeking innovative ways to stay ahead of the competition. As tech and data teams, our role is pivotal in guiding them toward effective solutions that truly match their needs.

One common scenario we encounter is the request for real-time dashboards. It’s not unusual for the business to ask for data updates multiple times a day, thinking it’s essential. But here’s the reality: what they truly need is timely information, aligned with their workflow. Sometimes, updating data a few times a day is overkill; a weekly update might suffice. Understanding these nuances is where our expertise shines.

Similarly, when it comes to fraud detection, the first instinct might be to dive into complex machine learning models. However, a careful analysis often reveals that basic anomaly detection might be the perfect fit. It’s not about overcomplicating; it’s about finding the right balance between sophisticated solutions and practical, efficient implementations.

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Son Le Thanh (Son)
DataFrens.sg

I am a geek, my background was in software development but I enjoyed building community and creating useful content. I am the father of two boys.