Discovering Dynamic Integrity Rules with a Rules-Based Tool for Data Quality Analyzing

TL;DR

This paper introduces a comprehensive, automated method for discovering dynamic integrity rules to improve data quality analysis, reducing reliance on manual rule creation by experts.

Contribution

It presents a novel, rules-based approach for automatically discovering dynamic integrity rules, enhancing data quality monitoring processes.

Findings

Automated discovery of integrity rules improves efficiency.

Dynamic rules adapt to changing data conditions.

Method reduces manual effort in rule creation.

Abstract

Rules based approaches for data quality solutions often use business rules or integrity rules for data monitoring purpose. Integrity rules are constraints on data derived from business rules into a formal form in order to allow computerization. One of challenges of these approaches is rules discovering, which is usually manually made by business experts or system analysts based on experiences. In this paper, we present our rule-based approach for data quality analyzing, in which we discuss a comprehensive method for discovering dynamic integrity rules.