When we talk to prospective customers, their first questions are usually around the fundamentals of data quality, including what it is, how we measure it, what happens when it goes south, and how data quality issues can be prevented.
Our answers always come back to the core that drives our mission: Data is the lifeblood of the modern enterprise, and having the confidence to make business decisions based on data is critical. Data quality, then, is the quality of that lifeblood. In order for it to power your business engine correctly, it’s important to continuously perform accurate and comprehensive data quality checks. It’s also important to focus these checks on data that has the potential to have the highest impact on business decision-making – especially when you’re trying to monitor data quality at scale.
