The problem of so-called ‘dirty data’ – data that contains duplications, omissions or other errors – has been a serious issue in corporate IT for many a year. Analyst firm Gartner said in March last year that three-quarters of large enterprises will make little to no progress towards improving data quality until 2010, potentially costing large firms millions of dollars. But is there an open source solution to the problem?