Optimization strategies for search engines: an analysis based on the data life cycle

ABSTRACT

Introduction:  In the digital era, Search Engine Optimization (SEO) techniques are essential to ensure the visibility and relevance of online content. With the exponential increase in data shared on the internet, managing the Data Life Cycle has become crucial. This study explores how each stage of the Data Life Cycle - from collection, through storage and retrieval, to disposal - can impact the practices and effectiveness of SEO techniques.

Objective:  To investigate the relationship between the Data Life Cycle and SEO techniques and practices, aiming to understand how each stage of this cycle, along with associated cross-cutting factors, allows for the analysis of the effectiveness and efficiency of search engine optimization strategies.

Methodology:  The study adopts a descriptive methodological approach focused on SEO, discussing data access by optimization experts within the context of search engines.

Results:  The results present the connections between the phases of collection, storage, retrieval, and disposal through the cross-cutting factors present in all phases of the Data Life Cycle in relation to SEO techniques.

Conclusion:  Finally, the strategic integration of the Data Life Cycle and SEO techniques is essential for successfully navigating the digital environment. By considering each phase of the Data Life Cycle through the lens of Search Engine Optimization, organizations can not only improve their online presence but also ensure that their content is valuable, accessible, and compliant with ethical and legal standards.

KEYWORD:
Search engines; Web content management; Data