Data science and SEO
The proliferation of devices (computers, mobiles and tablets) has made it possible to connect billions of people around the Internet. In addition, the ecological, economic and technological transformation of our society has favored innovation and the development of new technologies. The growing number of users of connected objects, of artificial intelligence and of the cloud by businesses are an integral part of the parameters to be taken into account in developing future business.
Big Data translates into the exploitation of a lot of data that travels through cyberspace. These data come from various sources (social networks, the user’s journey, personal data, etc.). These data, stored in data centers, can provide information on consumption habits, on the tastes or behaviors of Internet users. To deal with these data, companies resort to artificial intelligence, specifically Machine Learning and Depp Learning. A company capable of mastering the data flow problems of its information systems and the environment outside is an undeniable competitive advantage over others, as far as it can adapt its offers, according to the data collected to improve the customer’s experience.
Data SEO is about using data science in the field of SEO (Search Engine Optimization). For this, the extraction of exploitable data requires the consideration of a number of concepts including: data engineering; scientific method, math, statistics, advanced computing; visualization; hacker mindset and domain expertise. Thus, the Data scientist will use techniques of collection and analysis on large databases thanks to data processing tools like SEO Hero, SEO Quantum, Ranxplorer or Ubersuggest combined with SEO tools to optimize the practices. SEO. This can be used as a keyword research, a crawl analysis or a content production.
Automation of incoming flows saves considerable time and provides direct access to essential information. There is a free software better known as the “R” which allows the analysis of data and the development of statistical software. This software, based on the R programming language, has interesting features such as reading and importing, manipulation and transformation, management and visualization, and interactivity and reproducibility of data. The goal is to determine the intentions hidden in the requests of Internet users on the search engines. Therefore, we can consider that the data SEO is a response to the evolution of SEO optimization practices in an environment where the “Big Data” is of considerable magnitude.
To find out more, the video below presents a conference where two specialists from OVH illuminate the field of data SEO (in French):