- June 8, 2024
- Posted by: Murooj Al Alia
- Category: Uncategorized
Data management tools ensure that employees have access to the right information at the right time, allowing employees to perform their jobs more efficiently and faster. Effective data management practices help protect businesses from unauthorized users and ensure that they comply with regulations, such as consumer protection laws.
A well-planned approach to managing data will save organizations money, by making sure that assets like data and analytics are protected and available when needed. This is particularly important for companies with huge quantities of data that are continuously changing, or that contain sensitive information that must be secured.
Some of the most effective software for managing data concentrates on providing an integrated, consistent view of information across data sources in the organization for increased transparency security, reliability, and the ability to scale. These platforms offer data integration and data quality as well as data governance tools that can enhance business intelligence, enhance collaboration and reduce the chance of costly mistakes caused by insufficient or inaccurate information.
Oracle offers a suite of products that enables enterprises to build deployment, manage, and monitor initiatives that are driven by data. Oracle’s Data Management Suite delivers consolidated reliable, consistent, and trustworthy master data for all operational and analytical applications. It also helps to manage data and quality as along with policy compliance, repeatable processes, cross-functional cooperation and awareness of changes across the enterprise.
Tamr is a data mastering platform that improves and integrates enterprise data, and increases analytic insights. It employs machine learning to consolidate, cleanse and categorize data gathered from various sources. It also ingests, combines and ingests metadata from both legacy systems and Hadoop. It gives users an information catalog along with a glossary for businesses and a data lineage visualisation.
