Solution Background

In the current wave of digital transformation, with the in-depth implementation of the "Digital China" strategy, data as a new production factor is becoming increasingly important. To respond to national policy calls and accelerate the cultivation and development of the data element market, KeenData Technology has launched a data infrastructure solution. Through an efficient, secure, and scalable data management platform, it provides solid data support for customers across various industries, promoting their business innovation and development.
Data infrastructure supports the entire process of data aggregation, processing, circulation, application, operation, and security. Data infrastructure is a new type of infrastructure that provides integrated data aggregation, processing, circulation, application, operation, and security services to society, supported by networks and computing power, from the perspective of unleashing data element value. It is an organic whole covering hardware, software, open source protocols, standards, and mechanism design. The construction of data infrastructure will work together with the implementation of data basic systems and the development and utilization of data resources to address core issues such as data element property rights confirmation, benefit distribution, transaction circulation, and security governance.

Solution Capabilities

  • Data Collection and Integration

    Data collection and integration are fundamental functions of the data infrastructure platform. Through efficient data collection technology, the platform can capture data in real-time from various data sources, perform cleaning, transformation, and integration to form a unified data view. This function helps break data silos, achieve data interconnection, and provide a solid foundation for subsequent data analysis and applications.

  • Data Storage and Management

    Data storage and management are key aspects of ensuring data quality and security. The data infrastructure platform needs to provide efficient, scalable data storage solutions supporting PB-level data storage and management. Additionally, the platform needs a comprehensive data management system, including data classification, data labeling, and data permission management, to ensure data security and compliance.

  • Data Analysis and Mining

    Data analysis and mining are core functions of the data infrastructure platform. Through advanced data analysis technology and algorithms, the platform can perform deep mining and analysis of massive data, discovering patterns and trends to provide scientific basis for enterprise decision-making. Furthermore, the platform offers visualization analysis capabilities, helping users better understand data and analysis results.

  • Data Sharing and Circulation

    Data sharing and circulation are important ways to realize data value. The data infrastructure platform needs to build a trusted data circulation mechanism, ensuring data sharing and transactions are legal and compliant. Additionally, the platform needs to provide efficient data scheduling and distribution functions to meet different users' data needs.

  • Data Security and Privacy Protection

    Data security and privacy protection are essential functions of the data infrastructure platform. The platform needs to employ advanced data encryption technology and privacy protection algorithms to ensure data security during storage, transmission, and processing. Additionally, the platform needs to establish comprehensive data audit and traceability mechanisms to quickly locate and address issues in case of data leakage or misuse.

KeenData Lakehouse-Building Data Infrastructure

Solution Features

  • Multi-architecture Integration and Unified Data Lakehouse

    KeenData Lakehouse achieves the transformation from single architecture to multi-architecture integration, with data assets moving from physical unity to logical unity.

  • Data+AI Engineering Construction

    Addressing extensive data analysis and large-scale data applications; data engineering construction is key to digital success.

  • Integration of Data Governance and AI Engineering

    KeenData Technology's KeenData Lakehouse combines data governance with AI engineering, transforming data governance from passive and lagging to proactive and real-time.

  • Centralized Management and Distributed Data Empowerment

    KeenData Technology's solution builds a hybrid data capability system combining centralized governance and decentralized empowerment.

  • Data-Driven Organization Construction

    By providing comprehensive data infrastructure and intelligent application capabilities, KeenData Technology's KeenData Lakehouse supports enterprises in building data-driven organizations.

Solution Applications

  • A city's data bureau, to promote local digital economy and data industry development, vigorously developed new quality data productivity. Based on KeenData's KeenData Lakehouse product, they built new quality productivity tools for the city's data intelligent infrastructure, empowering various departments to deepen smart application implementation and stimulate digital economic growth.

  • An automotive group built an ecosystem development platform based on KeenData Technology's KeenData Lakehouse product, achieving five unifications in the technical stack, data services, management, standards, and data foundation for intelligent connected vehicle data. This provides comprehensive and stable support for other services at the PaaS layer and applications at the SaaS layer.

  • A petrochemical enterprise built a unified data middle platform based on KeenData Technology's data foundation product, achieving data sharing and unified management across subsidiaries and oil fields. This saved significant costs for the enterprise and provided support for the entire upstream process in the petrochemical industry.

  • A retail group built a full-business data middle platform based on KeenData Technology's data foundation product, connecting merchandise, membership, and other full-channel data services. This provided customers with full-channel service convenience and supported the enterprise's business innovation in supplier sales data service empowerment, operational management analysis and early warning, intelligent marketing recommendations, and intelligent pricing.

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