Data quality has not been so good so far. Huge amount of data can be found that is incorrect or duplicated. It is very difficult to setup an improvement program. One should know what kind of errors are there to allocate the correct resource. To solve data quality problems complex and strategic approach is required which is not same for all problems. Most of the company's decisions are taken after analyzing the data of the company, but if data quality is poor then the result of the decisions can led the company to suffer huge losses. Detecting the data quality is very important because it is positively correlated with business efficiency. Read more at:http://www.smartdatacollective.com/martindoyle/335289/defining-your-data-quality-problems