47% of newly created records contain at least one critical bug. Only 3% are absolutely flawless.
Harvard Business Review
Processes are interrupted or incorrectly performed due to incorrectly collected data. Input errors are often not noticed until problems have already arisen. In large amounts of data, they are difficult to identify and take a lot of expensive time.
Define the criteria of an flawless data record in the rule catalog of BiG EVAL and let your data be continuously and automatically checked.
In case of error, BiG EVAL informs the responsible authorities individually.
Improve the input quality with user training, personal coachings and software-changes. The success of these measures - so the increasing data quality - can be continuously measured and checked with BiG EVAL.