Building Data & AI Integrated Platform for Financial Services to Accelerate Digital and Intelligent Transformation
KeenData Lakehouse is an AI-native data intelligence platform designed for financial services. It enables end-to-end integration of financial data models and applications, intelligently powering risk management and precision targeting to drive more efficient, compliant, and data-driven business growth.
Challenges
Difficulty in Data Integration Driven by Fragmented Systems and Inconsistent Standards
Data in the financial industry is distributed across multiple business systems, with a lack of unified data standards, making efficient data integration difficult and limiting the ability to fully unlock the value of cross-domain data collaboration.
Performance Bottlenecks Caused by Explosive Data Growth and Lagging Architecture
As business scale expands, data volumes are growing explosively. Traditional technology architectures struggle to keep pace in terms of processing speed, storage capacity, and scalability, making it difficult to meet modern business performance demands.
Escalating Compliance Pressure Resulting from Stricter Regulation and Higher Security Requirements
Financial regulations are becoming increasingly stringent, imposing higher standards for data security and compliance management. Organizations must invest greater resources to meet evolving requirements for data protection, privacy, and regulatory compliance.
Solution Architecture
Empowering the future of digital intelligence, our architecture is your optimal solution.
Achievements
Our path to a win-win future is built together with you.
Data Quality and Integration
Precise governance to unlock collaborative data value. Powered by an integrated Data & AI platform, the solution enables unified data governance across multiple financial business systems. By standardizing data formats and metric frameworks and applying AI-driven cleansing and integration, it resolves issues of data fragmentation and poor quality, enabling efficient data collaboration and building a solid foundation for business analytics and decision-making.
Performance and Architecture Upgrade
Real-time processing to support explosive business growth. A data–lake integrated architecture is built to enable real-time data processing and analytics through AI technologies. This approach addresses the challenges of expanding business scale and surging data volumes, breaks through the performance limitations of traditional architectures, and ensures data processing capabilities at scale for rapid financial business growth.
Business Value Unlocking
Intelligent-driven precision for risk management and marketing. Machine learning models are applied to mine risk and marketing data, enabling intelligent risk identification and precise customer segmentation. By connecting the end-to-end chain of data, models, and applications, the platform drives smarter risk management and more precise marketing, unlocking incremental business value.
Compliance and Security Assurance
AI-powered monitoring to strengthen compliance and security. An AI-enabled data security and compliance monitoring framework is established to provide real-time alerts for non-compliant operations. This helps financial institutions respond to increasingly stringent regulatory requirements, reduce compliance costs, and ensure stable and secure business operations while meeting data protection standards.
Massive-Scale Data Capability
Large-scale computing and high-efficiency data exchange. Built on distributed system architecture, the big data platform supports PB-scale and above data processing and exchange, delivering stable and reliable foundational data capabilities to support diverse financial business scenarios.
Real-Time Data Applications
Stream processing for real-time insights. Leveraging streaming synchronization and real-time computing platforms, the system enables immediate analysis and application of real-time data such as transaction behaviors, supporting high-timeliness financial scenarios including fund and trading services.