An increasing number of companies are finally beginning to realize the importance of data quality management software, for the most varied of reasons, but overall the desire to render their companies more efficient and avoid waste due to poor database management. It is interesting to analyze what the most widespread data quality management problems really are.
Compromised archives? This is why data quality management software is a good investment
Another typical problem is obsolete data. Years of manual data input to the system and company crm, without data quality software, gradually lead to the database declining in quality.
Moreover, manual input, often by a number of operators creates a further problem, that of duplicated data meaning a single entity (customer, supplier, etc.) is input more than once over time.
More often than not these are fully understandable human errors, or they can be physiological errors as without a planned strategy for data quality management backed up by specific software it is virtually impossible to avoid these types of inaccuracies.
