Articles filed underData science
23andMe: a case study in the sensitivity of health data
By Pierre-Nicolas Schwab •
The 23andMe company offered DNA tests for recreational purposes. It's in a particularly delicate situation, and its data is in danger of being sold to the highest bidder. In this article, I explain the risks involved and the likely scenarios.
How to apply the 8 laws of Gestalt to data visualization
In this article, I explain how to use the Gestalt laws to create better data visualization. Each law is illustrated with an example, and I've also listed the best practices and mistakes to avoid for each one.
Energy-efficient software: a source of competitiveness
Energy efficiency is a concept that also applies to IT. In this article, I develop the idea that choosing a software solution based on its programming language can bring productivity and financial gains.
Data marketing: advantages, strategy, and examples [Guide 2023]
By Pierre-Nicolas Schwab •
Data marketing is a discipline that is becoming more and more important in companies. It provides a better understanding of the real motivations of users, but also of their consumption patterns. The data analysis it offers improves marketing strategies and…
ETL: Anatella in web version with high performance
By Pierre-Nicolas Schwab •
If you are interested in data science, you know that data preparation is a very time-consuming step. That's why choosing the right ETL software is so important. My favorite solution is called Anatella. I appreciate its qualities in terms of speed and the richness of the…
LinkedIn: the sentiments expressed and their effect on virality
By Pierre-Nicolas Schwab •
Everyone agrees that the content of LinkedIn posts is a determining factor in the probability that they go viral. So today, I'm not going to answer the question "What should we talk about on LinkedIn?" but rather "How should we talk about…
The 11 challenges of data preparation and data wrangling
By Pierre-Nicolas Schwab •
The events of 2020 have accelerated the shift to telecommuting and digital relationships. With digitalization, another transformation is also underway: the analytics transformation. To face this data revolution, I find that businesses do not necessarily have the right tools for…
Data preparation: how to reduce the processing time by 85%
The 3 factors that determine 55% of the success of your LinkedIn posts
Here is the most crucial factor for the virality of your LinkedIn posts
LinkedIn: engagement statistics by country and language [2021]
LinkedIn: the surprising effect of emojis on the virality of posts
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