Tool Alternatives to Facilitate Data Quality Monitoring

EasyChair Preprint 6315

Abstract

Companies are managing large volumes of data, which must be optimally stored in adequate infrastructure and scalable. However, the big problem for using these data is the visualization for controlling the quality of the same; since quality is such a relevant issue, there are still issues to be faced following the importance it deserves.

The work presented in this article provides a tour of tools that allow a business to monitor and control the quality of their data; different tools that facilitate this process was used and evaluated. Due to the importance of and supported in the exploratory review, Completeness and Validity are defined as the dimensions to be incorporated in the evaluation exercise. First, a data quality scan is started with free tools; then the exercise is continued with a very powerful and easy-to-use analytical tool such as SPSS Modeler, and finally, work is done on a DQS Data Quality Server licensed tool that facilitates the exercise of defining rules and their applicability in the business.

Keyphrases: Data Quality, Dimensions, tools, visualization

@booklet{EasyChair:6315,
  author    = {Monica Rosa Lopez Guayasamin and Néstor Darío Duque-Méndez},
  title     = {Tool Alternatives to Facilitate Data Quality Monitoring},
  howpublished = {EasyChair Preprint 6315},
  year      = {EasyChair, 2021}}