Data management tools ensure that employees have access to the right information at the appropriate time, which allows employees to perform more efficiently and quicker. Data management systems that are well-organized protect businesses from unauthorized users and ensure that they comply with the regulations like consumer protection laws.
A properly planned approach to managing data can save companies money by making sure that valuable assets such as data and analytics are secure and available when needed. This is especially important for organizations that have huge quantities of data that are constantly changing, or with sensitive information that needs to be secured.
Some of the top software for managing data concentrates on offering a seamless, consistent view of the data across different organizational data sources to improve security, reliability, and visibility. These platforms include tools for data integration, data governance and data quality that can improve business intelligence and reduce the risk of costly errors caused by software-served.com/2021/06/25/how-to-perform-a-factory-data-recovery/ inaccurate or insufficient information.
Description: Oracle offers a suite of solutions that enable enterprises to build, deploy and manage data-driven projects. Its Data Management Suite provides consolidated reliable, authoritative and consistent master data to all operational and analytical applications. It also facilitates data quality and governance as well as policy compliance, repeatable business processes, cross-functional collaboration, and awareness of changes throughout the enterprise.
Tamr is an enterprise-level data mastering platform that improves and integrates data from various sources and improves the analytical insight. It uses machine-learning to consolidate clean and categorize information that comes from various sources. Tamr also ingests metadata from both Hadoop as well as legacy systems. It’s aim is to provide users with a clear data catalog, as well as a built-in business glossary, as well as data lineage visualization capabilities.