TJ Palanca

Data Analytics

2022-08-07

Experimentation, Self-Service Analytics, and Forgiveness

What I’ve been reading

• Down with Experimentation Maximalism is from the Analytics Engineering Roundup, and offers a great framework for thinking about how to use experimentation and product development:
  • before product-market fit (PMF), you should be developing bold hypothesis and attempting to get at the root of issues, which can just rely on descriptive statistics.
  • after PMF,[^1] you should more likely rely on a structured experimentation program to eke out the maximum returns from your current product’s monetization and quality.

Read More →

2021-09-16

Data analytics in emerging markets

I was invited by the Civil Service Commission of the Philippines to provide a short talk on data analytics in emerging markets.

I wanted to provide an organization with a rough blueprint to building a sustainable data practice in an emerging market context, including to:

• set a Data Strategy
• building Decision Systems
• achieve Data Adoption

The slides are here:

Read More →