In this digital computer-based ecosystem, governments use mechanisms of data extraction which are barely identified by citizens. Therefore, among the data extracted from institutional e-platforms, computer-based transactions play an important role in this process. This research study aims to shed light on the data mining techniques used by governments and public institutions, identify which are the most commonly used, and expose the privacy risks they may pose to citizens. The chapter is made through a systematic literature review with two main keywords: “big data” and “government.” This study intends to answer the following research questions: What are the key techniques used by governments to extract data? May these tools pose risks to citizens?

In a paradigm governed by information and communication technologies, consumers reach online businesses and e-commerces thanks to search engines. SEO techniques play a fundamental role in the success of businesses as these techniques improve the appearance on first positions on search engines. Through a systematic literature review following the PRISMA method, the authors have identified the different factors that affect organic positioning in the Google search engine and their relevance to the algorithm. Afterwards, the factors analyzed were linked to the customer journey. For this purpose, the SEO factors to be implemented throughout the phases of the customer journey were determined, taking into account their optimization for the Google algorithm and the customer experience (UX). The results serve as a guide for both web developers and online store owners in the design of their SEO strategies taking into consideration the client's needs.