From Raw Data to Visual Insights, Full-Chain Automated Processing
We provide end-to-end data services, including automated collection, cleaning & processing, reliable storage, efficient analysis, real-time statistical queries, and interactive visualization, helping enterprises quickly transform massive data into actionable business value.
Achieve fully automated collection and intelligent cleaning of multi-source heterogeneous data (ERP, CRM, IoT, logs, APIs, etc.). Support real-time/scheduled collection, rule engine deduplication, missing value imputation, format standardization, anomaly detection and automatic governance, elevating data quality to over 99%. Reduce manual intervention by 80%, eliminate dirty data from the source, ensure subsequent analysis is based on a reliable foundation, and avoid 'garbage in, garbage out'.
Adopt distributed, high-compression storage architecture (columnar storage + partitioning optimization + index acceleration), supporting efficient access and complex analysis of massive PB-level data. Integrate OLAP engines and computing frameworks such as Spark/Flink to achieve sub-second aggregation queries and multi-dimensional drilling. Elastic scaling, no capacity pre-estimation needed, analysis performance improved 3-10 times over traditional solutions, helping enterprises quickly extract business insights from massive data.
Provide millisecond-level real-time statistics and interactive query capabilities, supporting stream computing, window aggregation, real-time metric calculation, and dynamic filtering. Whether for monitoring dashboards, operational daily reports, or sudden decisions, instantly respond to the latest data changes. Combined with low-latency architecture and cache optimization, ensure stable and reliable queries under high-concurrency scenarios, allowing business teams to always grasp the 'current truth' and accelerate response to market and operational rhythms.
Drag-and-drop construction of professional-grade dashboards and visualization reports, supporting dozens of chart types (dynamic maps, Sankey diagrams, 3D bar charts, heat maps, etc.), linked drilling, filter interactions, and custom themes. Beautiful interface, intuitive and easy to understand, even non-technical personnel can get started quickly. Built-in intelligent recommendations and AI-assisted chart generation, helping decision-makers clearly see trends, anomalies, and opportunities at a glance, realizing 'data speaks instantly, decisions become smarter'.
Data Is the Foundation of AI
Multi-Source Automated Collection
Support fully automated collection from various data sources including browsers, APPs, mini-programs, ERP, IoT devices, APIs, log files, etc. Built-in RPA for simulating manual operations + direct interface connection dual modes, completely replacing tedious manual entry and Excel aggregation. Flexible collection frequency (real-time/scheduled/event-triggered), accuracy rate over 99%, solving data silos and human error pain points, making data immediately available from the source.
Full-Process Automated Interaction
End-to-end automated data processing: collection → cleaning → transformation → interaction → write-back. Support simulating manual login, clicking, filling, exporting, or achieving seamless interaction through API/database direct connection. Fully unattended process, driven by rule engines, visually configurable, reducing manual operations by over 90%. Applicable to data synchronization, automatic report generation, data closed-loop between business systems, etc., ensuring efficient, reliable, and consistent data flow.
Multi-Dimensional Business Analysis and Display
Based on raw data, flexibly build multi-dimensional analysis models according to business needs (time, region, product, customer, channel, etc.). Support custom metrics, cross-analysis, trend prediction, and anomaly detection. Combined with OLAP engines, achieve drag-and-drop self-service analysis and deep drilling, helping business teams quickly uncover hidden patterns and growth opportunities from massive data, realizing ‘data-driven decision-making’ instead of ‘gut feeling’.
Massive Data Assetization
In massive data scenarios, automatically build a unified data asset catalog, including metadata management, lineage tracking, quality assessment, and value labeling. Transform data from ‘scattered resources’ into reusable, monetizable strategic assets, supporting data sharing, open APIs, and monetization path exploration. Help enterprises quantify data value, reduce redundant construction costs, empower AI model training and long-term business innovation.
Real-Time Insights and Intelligent Alerts
Millisecond-level real-time computing and stream processing, supporting real-time monitoring of key metrics, large-screen display, and automatic anomaly alerts (email/SMS/DingTalk). Instantly trigger alerts and root cause analysis when metrics deviate from thresholds or sudden events occur. Enable management and operations teams to always grasp the ‘current truth’, significantly improving response speed and risk prevention capabilities.
Security Compliance and Low-Cost Implementation
Built-in data desensitization, permission grading, encrypted transmission, and audit logs, compliant with GDPR, Classified Protection 2.0, Data Security Law, and other requirements. Adopt cloud-native/elastic architecture, pay-as-you-go, no need to build machine rooms or operations teams. Compared to traditional BI or self-developed solutions, implementation cycle shortened by 70%, total cost of ownership reduced by over 50%, achieving secure, fast, low-threshold data value release.
AI-ready Data Foundation, One-Click Empowerment for Intelligent Applications
Our data services are inherently ‘AI-ready’, providing a zero-threshold, scalable foundation for subsequent introduction of large models, machine learning, predictive analytics, and intelligent decision-making.
- High-Quality Structured Data: Data processed through automatic collection, cleaning, standardization, and multi-dimensional modeling has formed a unified, highly consistent feature engineering-ready dataset, with missing rate <1%, anomalies governed, and complete label system, directly usable for model training without additional preprocessing.
- Real-Time Streaming Pipeline Support: Built-in stream computing capabilities such as Flink/Kafka, supporting real-time feature computation, online inference input preparation, and result write-back, ensuring AI applications can obtain the freshest and most accurate data inputs.
- Open APIs and Feature Platform: Provide standardized data service APIs, feature storage, and online query interfaces (supporting vector retrieval, Embedding storage), allowing large model/algorithm teams to call directly without re-docking source systems.
- Complete Metadata and Lineage: Full-chain data lineage tracking + automatic document generation, enabling AI engineers to quickly understand data meaning, distribution, and change history, reducing model debugging and compliance risks.
- Elastic Computing Expansion: Underlying architecture supports GPU/TPU elastic mounting and distributed training frameworks (such as Ray, Spark ML, PyTorch distributed), seamlessly scaling computing resources as data volume grows without reconstruction.
With our data services, what you get is not just reports and insights, but ready-to-use, reusable, high-quality data assets that can be fed to AI at any time. Usable for BI analysis today, switchable to AI-driven prediction, recommendation, anomaly detection, or generative applications tomorrow, maximizing long-term data value and avoiding repeated investment and time waste in ‘rebuilding a data middle platform for AI’.
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Join forward-thinking companies using our full-spectrum services — from custom software and technical talent to data intelligence and transformation consulting — to lower costs, boost efficiency, and stay ahead.