Last Updated on March 17, 2024 by Umer Malik
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Data quality testing: how important is it in the modern world?
Data is the basis for making important decisions in business processes. Each company collects them – about its product, about products or services of competitors. But how much can you trust the quality of the data that you are guided by?
Consider the life cycle of data. It consists of a number of basic steps:
- Planning what data you will gather and how you will collect it.
- Data collection.
- Data transformation.
- Statistical research of the data.
- Making decisions based on available data.
- Data destruction.
At each of these stages, random or technical errors are possible. For example, the operator forgot to fill in some form fields, and they automatically received a null value. Or erroneous units of measurement were used – instead of kilograms, pounds in the “mass” field, or instead of Canadian dollars, US dollars in the “price” field. Or another pipeline “lost” an entire column. Outdated data was not deleted in time.A secure tool for data quality monitoring. It uses only logs and does not have direct access to the data. This makes it HIPAA-compliant and ensures your data security is of a high standard.
Easy to use tool for data quality monitoring. Setup does not require installation and is fast.
Customizable tool for data quality monitoring. You can set custom thresholds, prioritize alerts, select a communication channel.
As a result, a correct management decision based on these data cannot be made. Therefore, it is vital for you to maintain complete control over data quality.
Masthead offers automated data monitoring for your tables
When you are dealing with huge amounts of information, it is impossible to track the quality of data without special tools. The Masthead team created the observability platform, which is:
- A secure tool for data quality monitoring. It uses only logs and does not have direct access to the data. This makes it HIPAA-compliant and ensures your data security is of a high standard.
- Easy to use tool for data quality monitoring. Setup does not require installation and is fast.
- Customizable tool for data quality monitoring. You can set custom thresholds, prioritize alerts, select a communication channel.
An out-of-the-box ML algorithm by Masthead is what you need for data protection! More information about the product can be found on the company’s website.
Importance of Data Quality Testing in the Modern World
In today’s data-driven business landscape, the reliability and accuracy of data are paramount for making informed decisions. The quality of data directly impacts the outcomes of statistical research and subsequent decision-making processes. However, throughout the lifecycle of data—from planning and collection to transformation and analysis—errors can occur, compromising its integrity. Whether due to human oversight, technical glitches, or outdated information, these errors can significantly distort the insights derived from the data. Consequently, ensuring data quality becomes imperative for organizations seeking to make sound management decisions. This article explores the significance of data quality testing and highlights the need for comprehensive control over data quality to mitigate risks and drive better outcomes in the modern world.
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