Big data has become incredibly important for many companies all over the world. Unfortunately, the growing emphasis on big data has led to some poor decision-making. Many entities are prioritizing data scalability at the expense of data quality. As a result, bad data is costing them a lot of problems. 

In the USA alone, bad data – any poorly structured or managed data – costs the country over $3 trillion every year. Whether it’s created from data engineers accidentally adding an extra zero, a discrepancy in how things are formatted, or even problems with the data system itself, a lot can go wrong with data.