Automotive Industry - Data Middle Platform | Digital Transformation

Automotive Industry

The vast amount of data in the automotive industry has yet to be fully leveraged. It is an urgent issue to utilize big data tools and technologies to tap into the value of accumulated data in the automotive industry to serve the entire link of automotive research and development, marketing, and after-sales. Kejie Technology provides a comprehensive one-stop, full-link, and fully visualized data mid-platform infrastructure product, serving as the data processing engine for the automotive industry. It provides the foundation for automotive industry clients to build data applications, including customer behavior analysis, spare parts quality analysis, customer personas, precision marketing, and more.

Solution Overview

The big data product system is constructed by integrating a data synchronization system, a data development management platform, a data asset catalog, and a data service platform. These components form the capabilities for data extraction and aggregation, as well as data asset development. They support the systematic construction of various levels, including data assets, data governance, data synchronization centers, unified data centers, data system centers, and data services. Ultimately, a comprehensive data service system is established to support upper-level decision-making and application innovation.

Solution Architecture

Customer Benefits

Unified Extraction and Aggregation of Various Offline/Real-time, Structured/Unstructured, Connected Vehicle, and IoT Data
Establish a unified big data center to integrate data systems from various aspects, conduct data standardization and governance, and establish data assets with traceable lineage.
Construct a unified big data service publishing center to transform data assets into services, meeting the millisecond-level service response requirements of upper-layer applications under high concurrency.
Build applications for the upper layer based on the data mid-platform, including management and operational analysis for decision support, vehicle lifecycle management, remote vehicle diagnostics, and more.