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Conch Profiles · Project Background

As a key high-tech enterprise in traditional industrial manufacturing, Conch Profiles' main business covers the production, sales, and research development of high and mid-range plastic steel and aluminum alloy profiles, SCR denitration catalysts, solar photovoltaic materials, precision molds, doors and windows, ecological panels, and other energy-saving and environmental protection products. In recent years, with enterprise development and the national "14th Five-Year Plan", there have been issues in enterprise digital transformation such as poor horizontal scalability of existing systems, traditional databases unable to support massive data, unclear boundaries between cloud and edge layers, and insufficient edge data storage capacity. Based on these problems and challenges, there is a need to build an enterprise data middle platform to establish a large-scale data-driven and data-intelligent production service system.

Project Objectives

01
Unified Data Production Factors

Build a stable, high-performance platform for massive data management and application development, connecting data sources with various parts of the industrial system, covering the entire industry chain process, providing a comprehensive platform for fully utilizing historical data to optimize industrial research and production processes.
02
Empower Operations and Production Through Data

Empower frontline operations and production through the data middle platform, achieving operational management efficiency improvement under data-driven approaches and production innovation growth led by data intelligence.
03
Establish a Data Ecosystem-Oriented Smart Enterprise

Based on the data center platform, complex industrial manufacturing research and production processes are handled in stages, achieving automation and visualization of production processes, effectively improving production capacity utilization and production management efficiency, laying a solid foundation for subsequent smart manufacturing practice verification.

Solution Architecture

Customer Benefits

Improve work Efficiency

Compared to traditional Oracle data warehouses or CDH-based basic platforms, the transition from single-point repetitive chimney development to highly reusable collaborative development based on one-stop data middle platform data assets represents a qualitative change in overall development mode and R&D efficiency, significantly improving customer efficiency.
Enhance Data Construction and Usage Efficiency

Compared to traditional Oracle data warehouses or CDH-based basic platforms, upgrading and iterating from computing power and storage to data middle platform based on integrated data asset construction concepts, conducting data lineage relationship data asset accumulation throughout the entire chain, forming a unified internal data portal for the company, improving data asset usage efficiency.
Support Future Large-Scale Business Intelligence Implementation

Provide big data & AI infrastructure, help establish data assets, realize data businessization, and further promote full-line business intelligence, achieving enterprise data intelligence innovation under data-driven approaches. Based on the above construction, enterprises don't need to consider the complexity of building big data & AI infrastructure and long construction cycles, nor bear the personnel cost issues brought by building big data & AI infrastructure.