EZ

A Guide to Data Preprocessing in Market Research Bisness market research is a cornerstone to understanding your target audience and making informed business decisions. Through surveys, interviews, focus groups, and other methods, you gain valuable insights into consumer behavior, preferences, and market trends. However, the data collected during these research efforts are often not pristine. It can be riddled with inconsistencies, errors, and missing values—far from the clean, structured data needed for insightful analysis.  This is where data preprocessing steps in. Data preprocessing, including market research, is an important first step in any data analysis project. It includes a number of techniques for cleaning, manipulating, and preparing your raw data for further analysis. By preprocessing your data, you ensure that it is accurate, accurate, and complete, ultimately providing reliable and actionable insights.  In this blog post, we’ll dive into the world of data pre-processing

In a fantastic film called Philadelphia, Denzel Washington plays the role of a lawyer. What is striking about that character is that every time he interacts with his clients to understand their cases, he says, “Explain it to me like I am a five-year-old”. This instruction not only brings out complex information in the most simple ways but also somehow makes the audience a participant in that interaction. So, when we are asked what   EZ   is and what it does, we’ll take inspiration from Washington’s character and break it down in the simplest form. Our founder, during his years at McKinsey, found himself in a situation that most executives do. He discovered that with growing work pressure, the tactical bandwidth is exhausted. You have practically little time to do basic yet necessary things such as create a presentation, do market research, etc. He realized that no support system could take these essential tasks off of him. It is in such a situation that EZ was conceptualized. The brand