Industry Pain Points

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  Lack of Unified Data Standards

  The data registration and inventory process lacks unified data standards, which fails to effectively prevent issues such as data confusion, conflicts, multiple sources for the same data, and diversity in data types.

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  Chaotic Data Cycle Planning

  Chaotic data cycle planning/inability to achieve data monitoring during the planting and sales processes prevents historical data and experience from being accumulated into methods to guide production.

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  Difficulty in Coordinating Business Management

  There is confusion in managing permissions for data addition, deletion, modification, and usage, making it difficult to establish a single, comprehensive, accurate, and complete data view that reflects the enterprise's operational status.

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  Uneven Data Quality

  Data quality issues such as data redundancy, missing data, and data conflicts cannot be promptly identified and effectively resolved.

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  Security Oversight Is Imperative

  The lack of an effective data security management mechanism and inadequate control over access to sensitive, private, and confidential information results in challenges in data masking and decryption (de-identification and decryption) compliance, potentially posing reputational and legal risks to enterprises.

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  Difficulty in Assessing Data Value

  The data evaluation system and data assetization are currently in their nascent stages. Issues related to data appreciation, preservation, and valuation need urgent attention, and the monetization of data assets remains a long and arduous task.

Business Objectives

To build a data-driven and intelligent enterprise that achieves vertical and horizontal integration, open sharing, and internal and external services of data; empower frontline operations and production; monitor industrial product manufacturing processes, enable traceability of industrial component production nodes, and realize visual management of industrial production experience.

Solution Architecture

Solution Features

• 01

  Multi-channel Data Access

  In manufacturing, data sources are dispersed and complex, encompassing real-time production data, historical data, etc. By combining practical experience, we bridge IT and OT data to enable seamless multi-channel data access.

• 02

  Mixed Scenario Applications

  Analyzing data from a single source often yields limited value. Authorized personnel can integrate multi-channel data, including production, equipment, and product data, and apply it across various scenarios to unlock the full potential of the data.

• 03

  Agile Development

  The data visualization intelligent deduction engine allows users to create data models and charts with simple drag-and-drop operations without the need to write cumbersome code. It supports flexible multi-dimensional analysis and convenient sharing of analysis results. The microservices framework supports continuous integration, ensuring rapid iterations.

Customer Value

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  Effortless Big Data Management

  We provide one-stop big data management and application development capabilities, making data integration, analysis, mining, and task scheduling easy and convenient. This allows business personnel to focus more on business data applications and improve efficiency.

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  Intelligent Industrial Internet

  We assist manufacturing industries in achieving intelligent interconnectivity on the industrial internet, such as equipment health management, full-process traceability of products, optimization of production processes, improvement of yield rates, and more, comprehensively enhancing the level of intelligent manufacturing.

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  Keen Insight Analysis

  By integrating internal production and operation data with external market environment data, we help decision-makers gain insights into production, product, and market data from a higher and more comprehensive perspective, thereby enhancing the market competitiveness of products and enterprises.