Sep 24, 2021A framework of data quality metrics, a shortlist of metrics, and a process for identifying which metrics your team should use.Intrinsic data quality dimensionsExtrinsic data quality dimensions
Data Warehouse Performance
You can use KPIs such as load time, query time, availability, and utilization to measure its speed, efficiency, and reliability. Load time measures how long it takes to load data from the source systems into the data warehouse.
Warehouse KPI Definition
In a warehouse, key performance indicators typically relate to how inventory is received and shipped, as well as the accuracy and speed of these processes.
Introduction to Data Quality Dimensions and Metrics
Data quality is a topic as old as data itself. Luckily for us Intrinsic Data Quality Dimensions
OK, finally we’re onto the data quality dimensions, starting from the intrinsic metrics that are independent of use case Extrinsic Data Quality Dimensions
While intrinsic data quality dimensions can be reasoned about without talking to a stakeholder Putting Data Quality Metrics Into Practice
Now that we have a list of intrinsic and extrinsic data quality metrics, how do we decide what to measure, how to measure it via data quality rules Strategies to Improve Data Quality Metrics
We said at the beginning that we wouldn’t discuss strategies and processes for improving data quality. There’s just two thoughts we wanted to leave you with Takeaways
1. While data quality will always be an issue, defining metrics for data quali…
2 Citations and Further Reading
1. Wand and Wang 1994: "Anchoring Data Quality Dimensions in Ontological F…
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