From my years of experience in the data ecosystem, I observed 2 main patterns with how business treat data: Core Function Supporting Function A core function IMO needs to fulfil the following: Works proactively on executing a roadmap that emerged from solving a core strategic objective for the company Has…

At The Fabulous, we have been using BQ and DBT as the core of our Data Analytics for the past 2 years. As of end of 2022, we have fully operationalised User Acquisition reporting and attribution, successfully transferring the SoT (Source of Truth) from scattered tools (Ad-Networks UIs, Amplitude UI…

What does being a (data) analyst entail ? The following points are my distilled answer from my 8 years of experience as a data practitioner In a nutshell, you need to excel at: Observation — Analysis — Synthesis An objective sense of observation: Here you need 2 critical components: Curiosity and objectivity Curiosity helps you…

Data can be confusing and daunting. It’s the role of the thoughtful data practitioner (using this term to englobe everyone working with data) to make it ‘digestible’ for the target audience! That’s how data and analytics could be really actionable. While this sounds simple, not many really get the gist…

Context Before we delve into this subtle topic, we need to list some guiding pointers Data captures some aspects of ‘reality’ that we are tracking/measuring for different business objectives (monitoring, optimization, decision making, experimentation, etc…). Hence data is just a representation of the real aspects/patterns we are tracking. Data is created…

Documentation is something that gets misunderstood a lot IMO. These are my macro-level conceptual thoughts on the topic (applies to Data and beyond) Its Objective: Context & Clarity In more details, you want to make sure that the future readers/users (yourself included!) of the models/transformations/query/code/etc will understand what has been…

Before starting: This is how we currently test our Data and Analytics Models at The Fabulous. This is an internal documentation that sums up the Data Team’s learning since I joined the company 2 year ago. …

Correlation shows the way but doesn’t ‘causally’ lead it: Correlation doesn’t imply causation. Well designed controlled experiments are your friend to prove causation (with a quantifiable risk of being wrong) The signal always hides within and beyond the noise: Understand the patterns and variance of your data and metrics to…