A decision is made based on the analysis result of a specific case, problem, or challenge. To validate the findings, conducting a statistical test is essential to ensure the reliability and validity of the conclusions drawn from the data. Statistical tests are employed to test hypotheses and determine whether the…

Customers who are acquired through marketing should be assessed to determine whether they can bring value within a specific timeframe. You may have the same questions as me: Do I acquire high-value customers? Do I know when I will receive a return on my investment after acquiring new customers? How…

Maintaining your team’s productivity creates a healthy work environment, enabling efficient work execution, skill enhancement, and valuable contributions to your company’s success. Consider the following questions: Has your leader encouraged you to take on tasks that promote personal growth? Do you find it challenging to prioritize tasks and ensure transparency…

Doing research is the most activity that you have done to stand out from other participants. The objective of this article is to remind me as well as to share my thoughts to you to always put the problem, customers (in business) as the priority that you want to solve…

An ultimate handy dynamic filter for your analysis For those of you who are just starting to analyze data using Tableau, this article will help you to understand one of the basic features in Tableau. For those of you who are familiar with Tableau, let’s refresh our lessons. Contents There are…

You are preparing for yourself in the future with cold money — In the context of money, I have been separated which money (cold money) that I use to multiple it deliberately even if I will lose during the journey. I knew the concept of hot and cold money since I learned about investment. What I always remember until right now is …

Fundamental analysis is done to measure and determine the stock which has a fair value in the market — The reason we want to invest our money is to let our money work to get another money. …

Data modeling makes every stakeholder understand how the data is related to other data, or what we call Data Understanding — It has been over a year, most people learn about data whether they choose to learn data science, data analyst, machine learning which mostly do to read CSV files and create predictive models. However, the real job is not always talking about the predictive model. …

As data scientists, we need to turn data into business insight and bring impact to the company. Therefore, we need ETL as the first step to break down the data silos and make it easy to be analyzed by data scientists to achieve the goals. In this part, I am…