Top Data Integrity Threats And Practical Ways To Counter Them
Across industries, AI models and analytics increasingly drive high-stakes decisions—but even the most advanced systems can be useless, or even harmful, if the data feeding them is flawed. Many organizations overlook subtle yet serious risks to data integrity, from silent schema drift and redundant legacy systems to poorly managed access controls and shadow data.