Improvement in data quality in the context of modern analytical technologies

Authors

  • Vladimir Nickolaevich Lyubitsyn South Ural State University

Keywords:

information-analytical system, data warehouse, data quality, ETL-process, data cleaning, data preprocessing, data enrichment, data quality assessment tool

Abstract

Identification of the term "data quality" with respect to the information-analytical systems is made in the article. Division of methods for enhancing the quality of the data into groups and species is carried out. Assessment of data quality as a key element of IT-related technology connected with management of data quality is emphasized. To form an effective methodology for assessing the data classification of stages of the process for assessing data quality is given, and brief comparative analysis is provided, data quality problems based on three levels, indicating the specificity of each of them, including the relevant factors, manifestations and control sites with identified problems, are systematized.

Author Biography

Vladimir Nickolaevich Lyubitsyn, South Ural State University

Candidate of Science (Engineering), Associate Professor of Information and Analytical Support in Social and Economic Systems Management Department

References

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Published

2014-03-18

Issue

Section

The main