Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.
customer purchase order number
for numerous countries Identifies customer information (addresses, phone numbers, social security numbers, dates) and verifies that it is properly formatted Allows users to add custom dictionaries and rules to parse and standardize other data elements, such as part numbers, product codes, purchase orders, SKUs, customer identification numbers, and so forth Handles free-form text up to 8,000 characters in size and parses it into appropriate structured data fields User-defined dictionaries can be populated