Outdated and incomplete data pose the most severe risks to an enterprise’s long-term success. According to Gartner, businesses might face profitability loss of up to $12.9 million strictly due to decision-making misled by inaccurate data.

To keep you risk-safe, use trusted practices helping to deal with the most common data quality issues.