Importance of Data Quality
Did you know that data serves as the backbone of many important business decisions? Without accurate, complete, and consistent information, companies risk making faulty judgments that could potentially damage their reputation, client relationships, and business overall. Consistency issues across different datasets can cause confusion and prevent meaningful analysis from happening. Irrelevant or outdated data can misguide the judgment of decision-makers, resulting in suboptimal choices. On the other hand, building high-quality data products serves as a powerful asset, empowering organizations to make informed decisions, uncover valuable insights, identify trends, mitigate risks, and gain a competitive edge.
In this chapter, we will dive deep into the following topics:
- Why data quality is important
- Different dimensions to measure data quality in your data products
- The impact of data silos on data quality
