It’s well recognised in many corporate environments that data quality is a large and expensive issue. 

For banks & insurance companies with risk data, retailers with stock, marketers with poor lists, and countless others who rely on accurate financial info – poor data quality is an issue as it breeds inefficiency, increases expense and robs capital. For the big boys, the cost of this can generally be absorbed as they have the scale to cover it. It’s the smaller players in the SME market who I find get knocked around the most by poor data quality.

Don’t think that … Read More