Data quality tools for Teradata
Data quality tools measure how good and useful a data set is to serve its intended purpose. High quality data can lead to better decision-making and faster insights as well as reduce the costs of identifying and dealing with bad data in the system. It can also save time and allow companies to focus on more important tasks.
CuriumDQM
CuriumDQM (Data Quality Management) delivers advanced process control over the firm’s data sets without the need to change any aspects of the firm’s underlying data architecture. CuriumDQM is a cost-effective way of giving Operations and Data Management teams the process and oversight they need to deliver effective data governance, as well as reduced risk and better overall confidence in the data management function.
Commercial: | Commercial |
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Data cleansing: |
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Data Discovery & Search: | - |
Data Profiling: | - |
Data standarization: | - |
Free edition: |
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Data quality tools are the scripts that support the data quality processes and they heavily rely on identification, understanding, and correction of data errors. Data quality tool enhances the accuracy of the data and helps to ensure good data governance all across the data-driven cycle.
The common functions that each data quality tools must perform are:
• Data profiling
• Data monitoring
• Parsing
• Standardization
• Data enrichment
• Data cleansing
Choosing the right data quality tool is essential and impacts the final results. To help you with the right selection, we prepared a list of tools that will assist you with maintaining a high level of data quality.