Data Quality Metrics to Know and Measure

The most important characteristic for any organization is not data; it is quality data. In a study, IBM estimated that bad data costs the US economy $3.1 trillion per year. Such costs are incurred when your employees spend time cleaning data or rectifying the errors caused by bad data. Apart from financial costs, bad data … Read more

Consequences of Bad Data – DZone Big Data

You may not have heard the term data downtime, but I’m willing to bet you’ve experienced it and the cost of bad data firsthand. Urgent ping from your CEO about “missing data” in a critical report? Duplicate tables wreaking havoc in your Snowflake warehouse, all titled some variation of “Mikes_Table_GOOD-V3.”? Or, perhaps you’ve unintentionally made … Read more

Data Observability Doesn’t Just Create Savings — It Drives Revenue, Too

When I talk to data teams about the benefits of data observability and data quality, it’s often framed to prevent the negative impacts of insufficient data: poor decision-making, lost revenue, and even the erosion of customer trust. With Gartner predicting that poor data quality costs organizations $12.9M per year, data observability becomes a no-brainer. Companies … Read more

The Rise of the Data Reliability Engineer

With each day, enterprises decisions rely on data to make. This is true regardless of their industry: finance, media, retail, logistical, etc. Yet, the solutions that provide data to dashboards and ML models continue to grow in complexity. This is due to several reasons, including: This need to run complex data pipelines with minimum rates … Read more