In the vast ocean of data, every data enthusiast, analyst, or scientist often finds themselves swimming against the current, trying to make sense of numbers, patterns, and anomalies. How can…
Statistical Significance in Testing: Understanding the Concept of Confidence
In the world of research and data analysis, statistical significance plays a crucial role in determining the reliability and validity of experimental results. It provides us with a measure of…
Starting Wide: Why it’s Important to Begin Data Analysis with a Broad Overview
In the world of data analysis, starting wide and gradually focusing in on specifics is a crucial step towards arriving at accurate and insightful conclusions. While it may be tempting…
How to use conversion funnels to achieve any goal
In the world of digital marketing, a conversion funnel is a widely recognized tool that helps businesses measure the success of their campaigns. By breaking down the user journey into…
What is a Data Contract and why is it important?
Okay, imagine you have a toy box with lots of different toys in it. Your friends want to play with your toys, but you want to make sure they know…
Data Observability: The Importance of Ensuring Accurate and Reliable Data
Within the last year, I was introduced to a new part of enterprise data analytics, Data Observability. It has always been a challenge (and expectation) that you know exactly how…
Regression Analysis: A simple explanation
Regression analysis is a common tool in the belt of analysts and data scientists. At it’s core, it is understanding the relationship between factors and outcomes. This post hopefully simplifies…