DATA QUALITY DIMENSIONS, METRICS, AND IMPROVEMENT TECHNIQUES

Achieving high level of data quality is considered one the most important assets for any small, medium and large size organizations. Data main hype both practitioners researchers who deal with traditional or big data. The measured through several dimensions. High percentage current studies focus on assessing applying As we are in era data, attention should be paid to tremendous volume generated processed which 80% all unstructured. However, initiatives creating evaluation models still under development. This paper investigates dimensions that mostly used figure out metrics techniques measure handle each dimension. A complete definition dimension, handling presented this paper. Many can applied while few number either Few barely works.