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Software For Data Management Platforms

Data management tools ensure that employees have the appropriate information at the right time. This makes them work more efficiently and faster. Strong data management processes aid businesses in securing themselves from users who are not authorized, and ensure compliance with rules such as consumer protection laws.

A well-planned approach to data management can save companies money by ensuring that assets such as analytics and data are secured and made available when required. This is especially crucial for organizations that have huge quantities of sensitive information or data to protect.

Some of the best software for managing data focuses on providing a single continuous view of data across different data sources software-served.com/2021/12/28/the-benefits-of-a-factory-data-reboot/ of the organization to provide better visibility, reliability, security and the ability to scale. These platforms offer tools for data integration, data governance and data quality that enhance business intelligence and decrease the risk of costly errors due to inaccurate or inadequate information.

Oracle provides a suite that allows enterprises to create deployment, manage, and monitor data-driven initiatives. Oracle’s Data Management Suite delivers consolidated accurate, consistent, and reliable master data for all operational and analytical applications. It also helps with data governance and quality, as and the compliance of policies, repeatable processes cross-functional collaboration and change awareness across the entire enterprise.

Tamr is an enterprise data mastering platform that improves and integrates data coming from various sources and improves the analytical insight. It uses machine learning to combine, cleanse and categorize data from different sources, and then ingests and integrates metadata from both legacy systems as well as Hadoop. It aims to provide users with a simple data catalog and an integrated business glossary, as well in the ability to visualize data lineage.

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