An important aspect to consider when using data mining tools in manufacturing is the quality of the data itself. Most business decisions rely on data in some way, so inaccurate data can drastically effect the quality of the decisions made. As databases get larger, the chances of damaging errors increase. Inc. It cannot be assumed that a large database is always an accurate database. When looking at managing quality of data, there are some basic areas to consider.
Inconsistent title naming is where file names are either inappropriately named or incorrectly named.
Also, inconsistent field lengths and incomplete entries are all common areas of error. One way to deal with these inaccuracies is to have integrity restraints. This is where conditions are put on a field entry. For example, a restraint could be set to flag any data over a certain value. By doing this, obviously incorrect entries are thrown out so as not to contaminate the database.