Data Cleansing vs Data Maintenance: Which One Is Most Important?

September 17 2015

There are always two aspects to data quality improvement. Data cleansing is the one-off process of tackling the errors within the database, ensuring retrospective anomalies are automatically located and removed. Another term, data maintenance, describes ongoing correction and verification - the process of continual improvement and regular checks.

Often, businesses ask us: which process is the most important? In the long term, which one should we focus on? Unfortunately there is no simple answer, but there is an easy way to understand the differences between them.

About Martin Doyle

Martin is CEO and founder of DQ Global, a Data Quality Software company based in the UK. With an engineering background, Martin previously ran a CRM Software business. He has gained a wealth of knowledge and experience over the years and has established himself as a Data Quality Improvement Evangelist and an industry expert. For more information visit

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