data-quality-management/
Data Quality Management (DQM) is a process that helps organizations ensure their data is accurate, complete, and reliable. DQM involves assessing data quality, identifying and correcting errors, and implementing processes to maintain data quality. It helps organizations make better decisions and improve operational efficiency.
MicroStrategy provides a comprehensive business intelligence platform that helps organizations make better decisions, faster. It offers powerful analytics, data visualization, and mobile capabilities to help you uncover insights, drive performance, and transform your business.
SAS Business Intelligence helps you make better decisions faster. It provides a comprehensive suite of analytics, reporting, and visualization tools to help you explore data, uncover insights, and share findings with stakeholders.
H2O.ai is an open source platform for machine learning and predictive analytics. It provides an easy-to-use interface for data scientists and developers to build, deploy, and manage AI applications. It supports a wide range of algorithms and languages, and is used by companies around the world.
DataRobot is delivering a unified AI platform for all users, all data types, and all environments to accelerate delivery of AI to production for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50, delivering over a trillion predictions for leading companies around the world.
The RapidMiner platform amplifies the impact of people, expertise & data for breakthrough competitive advantage, no matter where you are in your data science journey.
Free and open source with all your data analysis tools. Create data science solutions with the visual workflow builder, & put them into production in the enterprise.