Data Middle Platform_Building a Data Foundation to Empower Enterprise Digital Transformation

Data Middle Platform

It integrates enterprise-wide, massive, multi-source, and heterogeneous data under unified standards to monetize data assets, providing data resources and capabilities to business frontend and driving refined operations. It helps clients establish a "Large Middle Platform, Small Applications" architecture to drive data value, application efficiency, business enablement, and IT cost reduction, accelerating enterprise digital transformation.

It integrates enterprise-wide, massive, multi-source, and heterogeneous data under unified standards to monetize data assets, providing data resources and capabilities to front-end business units and driving refined operations.

Industry Pain Points

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Low Data Development Efficiency

Poorly designed data domains and layers lead to redundant development and limited data delivery efficiency. The Data Mid-End is built for future needs, adapting to faster business iterations and effectively reducing business expansion costs.

Inefficient Internal Collaboration

The Data Mid-End connects data front-ends and back-ends, breaking data silos to provide more flexible, efficient, and low-cost data analysis and mining services. It creates opportunities for the IT center to transform its organizational role, adopting a shared service architecture to enhance overall enterprise efficiency.

High Barrier to Data Usage

Big data processing and maintenance require specialized skills. The Data Mid-End provides a convenient and simplified data processing workflow, significantly lowering the barrier to data usage.

Value Proposition

Comprehensive & Efficient Data Integration

It integrates data scattered across various business systems, cleanses anomalous data, and supports multi-source ingestion from mainstream relational databases, big data platforms, and diverse data files. The integration engine uses asynchronous parallel processing and refined flow control, enabling highly efficient multi-threaded parallel execution for each component in the pipeline.

Complete & Convenient Data Governance

Covers the entire data lifecycle. The governance platform provides full-link management. Rich components, a drag-and-drop development mode, and a GUI reduce technical demands for development, mining, and O&M, accelerating value realization.

Rapid & Secure Data Services

It enables rapid generation of Data APIs from data tables and supports quick registration of existing APIs into the data service platform. These APIs, managed through application authorization, allow external systems to call and retrieve data. The platform provides unified API management, publishing, security controls, authorization management, and rapid deployment/retirement from a public API marketplace.

Comprehensive & Efficient Data Integration

It integrates data scattered across various business systems, cleanses anomalous data, and supports multi-source ingestion from mainstream relational databases, big data platforms, and diverse data files. The integration engine uses asynchronous parallel processing and refined flow control, enabling highly efficient multi-threaded parallel execution for each component in the pipeline.

Complete & Convenient Data Governance

Covers the entire data lifecycle. The governance platform provides full-link management. Rich components, a drag-and-drop development mode, and a GUI reduce technical demands for development, mining, and O&M, accelerating value realization.

Rapid & Secure Data Services

It enables rapid generation of Data APIs from data tables and supports quick registration of existing APIs into the data service platform. These APIs, managed through application authorization, allow external systems to call and retrieve data. The platform provides unified API management, publishing, security controls, authorization management, and rapid deployment/retirement from a public API marketplace.

Solution Architecture

Customer Cases

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Data Middle Platform for an Industrial Manufacturer

面向产业生态建设的客户数据平台，以数据为主要驱动力，加强企业的设计研发、生产制造、市场服务等数据的动态采集、汇聚、分析、展示等，建立覆盖项目研制过程中的数据集成以及数据消费体系，同时对企业数据资产进行全面工具化管理，针对合同、制造、适航、绩效等七大业务场景提供数据服务支撑，大大提升企业生产、管理、运营效率。

面向产业生态建设的客户数据平台，以数据为主要驱动力，加强企业的设计研发、生产制造、市场服务等数据的动态采集、汇聚、分析、展示等，建立覆盖项目研制过程中的数据集成以及数据消费体系，同时对企业数据资产进行全面工具化管理，针对合同、制造、适航、绩效等七大业务场景提供数据服务支撑，大大提升企业生产、管理、运营效率。