Blog
Read tips and best practices about data quality monitoring.
Blog
Read tips and best practices about data quality monitoring.
Why is tracking Data Quality KPIs Important to Your Company?
Development and ultimate success in monitoring data quality for your business are not possible without tracking the progression of results In the business world, it is crucial to track even
Data timeliness: column datetime difference percent
One of the fundamental dimensions of data quality is timeliness This metric can be measured in several ways, depending on the metric to check. One of them is a ratio
Data timeliness: average delay check with dashboard
In this article, we check the data timeliness of the public BigQuery dataset using an average delay check. After checking configuration and running check, we would like to verify average timestamp
Getting started with DQO.ai
In this article, we would like to show you how to start working with a DQO.ai on the BigQuery example. After the initial setup, we will show how to run
Data validity: validating strings as dates
To make data quality analytics the most effective and profitable, it is critical to check if the data meets the required requirements for continuous use. If the data meets particular
Types of data timeliness checks
One of the most important aspects of data quality is data timeliness. It refers to the expected time of availability and accessibility of the data. Timeliness is a metric of
How to make a data quality dashboard?
The development and implementation of programs or queries to check the data quality are not the sole aspects of the data quality analysis process. To begin, we need to design,
Data timeliness: delay check
We usually keep track of the date the data was collected in the data set. When it comes to data observability, the most important factors are when the data was
