In the current competitive business environment, a robust database administration and management system can significantly enhance an organization’s prospects for success. Nevertheless, as databases scale in size and complexity, their effective management requires a substantial workforce and considerable time investment, leading to costly OpEx.
Daten’s database management platform empowers organizations to automate standard operations, centralize administrative functions, and enhance the performance, reliability, and security of databases. This approach ensures optimal productivity and maximizes the value extracted from data resources.
Utilizing a cloud-based framework, this technology incorporates machine learning techniques to streamline the automation of database security, backups, updates, and other routine tasks performed by human operators. Autonomous databases prevent cyberattacks on unencrypted databases and feature self-repairing mechanisms. This functionality effectively reduces downtime, including unexpected maintenance activities.
By leveraging artificial intelligence and machine learning capabilities, augmented databases automate complex tasks like data quality analysis, anomaly identification, data cleansing, and data mining. The primary objective of the AI algorithms is to streamline and enhance data management processes for enhanced efficiency and improved decision-making. This emerging trend can significantly enhance master data management, support Data Governance initiatives, and streamline data integration activities.
Real-time analytics databases are engineered for exceptional flexibility for handling various data formats while efficiently processing substantial volumes of data at high speeds. Enterprises that engage with their customers online, and those utilizing IoT devices are leveraging real-time analytics to quickly process data, gain valuable insights, and promptly respond to deliver exceptional customer service and gain competitive advantage.
Telecommunications companies must analyze real-time data to optimize network resources, improve coverage, and effectively manage bandwidth for enhanced service delivery while maintaining regulatory compliance.
Daten’s database management platform enables Telcos to manage congestion, optimize routing, detect potential network failures, and dynamically allocate resources for enhanced operational efficiency and better customer experiences.
Digital banking platforms utilize cloud-based platforms to store customer and transaction data while maintaining a hybrid architecture for performance and scalability. Therefore, they require seamless collaboration between their legacy and new systems.
Daten’s database management platform enables Fintech companies to seamlessly integrate cloud and On-premise systems for optimized operation, secure data storage, safe transactions, and effectively meet compliance requirements.
Healthcare institutions track the performance and data usage of medical devices like ventilators, MRI machines, heart monitors, and tracking devices in a central database. Device logs assist in patient care.
Daten’s database management platform enables hospitals and clinics to log device data for quick access to troubleshooting, while securely storing patient records for analysis to improve care.
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