#56 What are the 5 key pillars of data health?


An oft-cited estimate by IBM calculated that the annual cost of data quality issues in the U.S. amounted to $3.1 trillion in 2016. In an article he wrote for the MIT Sloan Management Review in 2017, data quality consultant Thomas Redman estimated that correcting data errors and dealing with the business problems caused by bad data costs companies 15% to 25% of their annual revenue on average.