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Data quality tools for MS Access
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.
Dataedo
Dataedo provides users with a comprehensive tool for maintaining, tracking, and improving data quality. Access selection of 150+ built-in data quality rules or define bespoke data quality rules using SQL queries. Schedule data quality checks for continuous monitoring. Use a DQ dashboard for quick issue detection and trend analysis.
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Global IDs Data Quality Suite
Global IDs Data Quality Suite ensures the quality of the data by establishing control points and read-only quality controls at the database level. It continuously monitors quality metrics, while it also automates control generation for critical data elements across all kinds of data sources.
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Oracle Data Profiling and Data Quality for Data Integrator
Oracle Data Quality for Data Integrator is a comprehensive award-winning data quality platform that meets even the most complex data quality requirements. Oracle Data Quality addresses the enterprise data quality needs of all projects, including data warehousing and business intelligence, master data management, data integration, migration, service-oriented integration processes.
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Open Source Data Quality and Profiling
Open Source Data Quality and Profiling tool is an open source project dedicated to data quality and data preparation solutions. This tool is developing high performance integrated data management platform which will seamlessly do data integration, data profiling, data quality, data preparation, dummy data creation, meta data discovery, anomaly discovery, data cleansing, reporting, and analytic.
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WinPure Clean & Match
WinPure Clean & Match is a complete data quality, cleansing, matching, and de-duplication software suite for your mailing lists, databases, spreadsheets, CRM's, etc. It lets you instantly fix data quality issues, as it scans each data list and provides over 30 different statistics ranging from % filled/empty cells to most common values & counts. It also features red & amber coloring to highlight potential data quality issues.
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DataCleaner
DataCleaner is a premier open source data quality solution. The heart of DataCleaner is a strong data profiling engine for discovering and analyzing the quality of your data. Find the patterns, missing values, character sets, and other characteristics of your data values.
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Atlan
Atlan uses DataOps to create a new paradigm for building trust in your data. It auto-generates data quality profiles which make detecting bad data dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, Atlan offers everything.
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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.