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Publicação
Digital analytics: an approach for data quality control
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.61 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
With the emergence of the Digital Era, a new way of analyzing customers' behavior also emerged. It's not only about analyzing data from traditional data warehouses but also about measuring users' digital footprint on websites, mobile applications, and other digital data sources. Nowadays, companies collect data on their digital channels to improve website design and user experience, optimize e-commerce, track, and measure the success of actions and programs, identify problems, and improve the digital channels' performance. But the question that arises is how valid, accurate, and complete the data is. Do digital analysts understand each data point they have at their disposal? In this internship report will be given a detailed view of the critical points of digital analytics data quality, the adjacent problems and a solution will be presented to support and help the digital analysts overcome some of the challenges in this area.
Descrição
Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
Palavras-chave
Digital Analytics Data Quality Data Cataloging Web Crawler Tracking