Top 10 Data Quality Tools
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⎯⎯⎯Source From @ Deepak Bhardwaj ⎯⎯⎯⎯⎯
➤ 𝐀𝐛 𝐈𝐧𝐢𝐭𝐢𝐨
↳ Comprehensive data management with advanced data quality features.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Automated data analysis, rule definition, issue ticketing, centralised control.
➤ 𝐒𝐀𝐒 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲
↳ Enhances data accuracy, consistency, and completeness with comprehensive tools.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Data profiling, duplicate merging, standardisation, SAS Quality Knowledge Base.
➤ 𝐃𝐐𝐋𝐚𝐛𝐬 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦
↳ Holistic data quality and observability tool using AI and machine learning.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Automated data profiling, anomaly detection, proactive monitoring.
➤ 𝐎𝐩𝐞𝐧𝐑𝐞𝐟𝐢𝐧𝐞
↳ A free, open-source tool for cleaning and transforming messy data.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Data consistency, error correction, versatile data transformations.
➤ 𝐏𝐫𝐞𝐜𝐢𝐬𝐞𝐥𝐲 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐢𝐭𝐲 𝐒𝐮𝐢𝐭𝐞
↳ A modular suite provides data quality, governance, and mastering.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Profiling, cleansing, standardisation, real-time data visualisation.
➤ 𝐎𝐫𝐚𝐜𝐥𝐞 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲
↳ Comprehensive solution for data governance and quality management.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Data profiling, extensible features, batch and real-time processing.
➤ 𝐓𝐚𝐥𝐞𝐧𝐝 𝐃𝐚𝐭𝐚 𝐅𝐚𝐛𝐫𝐢𝐜
↳ Unified platform for data integration and quality management.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Data profiling, cleansing, integration, real-time monitoring.
➤ 𝐒𝐀𝐏 𝐃𝐚𝐭𝐚 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬
↳ Advanced tool for data integration and quality across diverse sources.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Data transformation, cleansing, profiling, integration with SAP systems.
➤ 𝐀𝐭𝐚𝐜𝐜𝐚𝐦𝐚 𝐎𝐍𝐄
↳ An AI-powered platform integrating data governance, quality, and master data management.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Data profiling, real-time monitoring, integrated data catalog.
➤ 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐚 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲
↳ AI-driven data quality solution for cloud and hybrid environments.
↳ 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Data profiling, cleansing, automated anomaly detection, CLAIRE engine.
Cheers!
Deepak Bhardwaj
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