software-served.com/2021/12/28/the-benefits-of-data-reboot/
Data management tools ensure that employees have access to the correct information at the appropriate time, which allows them perform their jobs more efficiently and faster. Effective data management practices ensure that businesses are protected from unauthorised users and ensure compliance with regulations like consumer protection laws.
A well-planned approach to managing data can save companies money by ensuring that important assets like data and analytics are secure and accessible when required. This is especially important for organizations that have huge quantities of data that are constantly changing or have sensitive information that must be secured.
The best software for managing data concentrates on providing an integrated complete, unified view of information across different data sources of the organization to provide improved visibility as well as security, reliability and scalability. These platforms include data integration and data quality, as well as data governance tools that can improve business intelligence, improve collaboration, and reduce the risk of costly mistakes caused by inadequate or incorrect data.
Oracle provides a suite that lets enterprises build, deploy, and manage data-driven initiatives. Oracle’s Data Management Suite delivers consolidated reliable, consistent, and trustworthy master data for all operational and analytic applications. It also facilitates data quality and governance and policy compliance, as well as repeatable business processes, cross-functional collaboration, and awareness of changes throughout the enterprise.
Tamr is an enterprise data mastering platform that improves and integrates data from various sources and boosts analytical insights. It makes use of machine learning to consolidate clean and categorize information that comes from multiple sources. It also incorporates metadata from both Hadoop and other legacy systems. It offers users an information catalog that includes a glossary of business terms and a data lineage visualization.