Data quality management is complex and affects all divisions of a company, but not everyone recognizes its importance. Yet it is worth an investment because high data quality is crucial to the success of a company.
To ensure high data quality, you have to identify inaccurate data, remove duplicates, standardize spellings, detect formatting errors, conduct plausibility checks, and more. If you only have inflexible analyses to work with, it will take you hours to complete these tasks. But with InfoZoom, you are done with everything in just a couple of minutes.
There are as many error sources as evaluation criteria.
Every time a customer calls your hotline, their data are recorded. Your employees enter the customer data in a mask and save them. At the end of the month, you want to know how many times a specific customer called, and why.
Which feature do you select for your analysis? Are the results reliable?
Entering data is not as easy as it seems. Variant spellings make it difficult to enter last names correctly. Not to mention typos.
It can even be tricky to spell the name of a city, as shown in the example.
This section of a data pool contains more than 90 (!) different spellings of “Stuttgart”.