Tag: Analytics

My three main takeaways from measure camp toronto 2025

Measure camp 2025, a renowned community-based worldwide event in digital analytics, took place at Humber College’s downtown Toronto campus on Saturday, October 4th. This marks the second year of the event’s Toronto location. The organizers, including Jose, Marc, James, and Melissa, along with Humber College students, supported the event. The full agenda is available here.

This unique “camp” format eliminates keynote speakers, instead encouraging participants to propose topics and present or facilitate them in a workshop-like format.. The camp features multiple rooms, allowing participants to join events based on their interests. Attendance is free, and food is provided (in Toronto, sponsored by the organizer). The conference is always held on Saturdays, attracting enthusiastic participants.

I’ve been attending industry events in digital analytics and measurement field since 2017. Measure Camp is the natural evolution of eMetrics and Digital Analytics Association, with its clear mandate of “knowledge transfer” in an open environment. While keynote speaking may not suit everyone, I believe everyone has valuable insights to share, and the format is most welcoming.

Here are the three main takeaways for me

  • GenAI usage and adaptation on this industry
  • Connecting with peers beyond “networking”
  • Stress-free presenting(facilitating) a session

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Tennis score tracking and exported data analysis with Apple Watch using Swing App

Tennis score tracking and exported data analysis with Apple Watch using Swing App

During the winter of 2018-2019, I was able to take my tennis tracking journey into a new level.  By now most of my tennis hitting partners are calling me a “data nerd”, clicking my watch like crazy during the game. But when I show them the stats after the game, they all (seem to be) impressed.

I did the following two new things in particular:

  1. Used the “Point by Point + ” score tracking in the Swing App to track all the points I have played. In total, I tracked 18 matches over the last 4 month, all of them were single matches and played in 1 hour.
  2. Exported the captured data into spreadsheets. By analyzing the data set, I was able to identify some of the limitations, as well as some opportunities to further enhance the analytics experience.

Before we dive in, if you are interested in knowing the tennis tracking tools and methodology, or a high-level overview, you can check my 1st blog post of this series: Tennis tracking after 18 month of usage. Or if you prefer to track drills instead of match, you can check out my last post on advanced tennis shots tracking.

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My experience of becoming a certified web analyst

I have finally earned my certification practicing digital analytics from digital analytics association  this week.  I was so pumped and barely had any sleep the night after I got it.

In this post, I will share what is this certification and different options, why getting certified in digital analytics is important to me, and how I pass the exam test (without violating the confidentiality agreement.)

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