Data Quality: As Simple as A to E
In our digital age, many organisations seek to become data-driven and are investing heavily in new technologies to make it happen. But this investment will not deliver its promised riches unless the data itself on which it depends is fit for purpose and of the required quality.
The reality is that data quality in most organisations remains poor, and often very poor. A study conducted by The Harvard Business Review and MIT found that fully 97% of records surveyed in key organisational databases contained critical data quality errors.[1] Identifying and tackling these issues is a top priority for any organisation which seeks to extract the maximum value from its data assets.
[1] “Only 3% of Companies’ Data Meets Basic Quality Standards”, Tadhg Nagle, Thomas C. Redman & David Sammon, Harvard Business Review, 11 September 2017