Studying The Free Database Protection From the inputting wrong data an‎d undesirable Information

Data collection has become a ubiquitous function of large organizations { not only for record keeping, but to support a variety of data analysis tasks that are critical to the organizational mission. Data analysis typically drives decision-making processes and in an increasing number of settings is the raison d etre of entire agencies. Despite the importance of data collection and analysis, data quality remains a pervasive and thorny problem in almost every large organization. The presence of incorrect or inconsistent data can significantly distort the results of analyses, often negating the potential benefits of information-driven approaches. As a result, there has been a variety of research over the last decades on various aspects of data cleaning: computational procedures to automatically or semi-automatically identify { and, when possible, correct { errors in large data sets.