Getting Top Quality Data for your Database {1}

by Leonardo S
The article I chose for this week is titled “Managing Data Source quality for data warehouse in manufacturing services”. The main topic of the article is focused around data quality. According to the article, one of the primary success factors of a data warehouse is the quality of the data. There are a few downsides from getting low quality data. Often times someone will have to go back into the database and fix the mistakes. This can take a lot of time and effort which could better be spent on other projects. Another flaw that comes from having bad data is that your data analysis will be all wrong. Database analysts will end up wasting even more time reviewing the data again after it has been fixed. The article mentions a few ways to reduce the amount of low quality data going into your database. Two methods of doing this are Total Data Quality Management and Quality Management System requirements. From what I understand, these are guidelines for collecting and inputting data that helps limit the amount of low quality data. read more...