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DC

MODULE DC

Data Connector

Infrastructure Module (DC)

Collects data from equipment, WMS, and ERP, and puts it into a consistent form. It is the core of the GWES data pipeline.

DC / DATA CONNECTOR

Collect data. Standardize its format.

WMS
Warehouse system
ERP
Core system
DEVICES
Equipment & devices
DC

Data ConnectorCollect & normalize

GWES

Common data foundation

Integration concept

Interface basic settings maintenance

Actual screen from the GWES demo environment

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Interface basic settings maintenance

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01About

Overview

It manages real-time data integration, batch processing, and error detection and automatic recovery in one place, supporting the data foundation of all of GWES.

Before / After

  • Before

    Manual data extraction from each system. Aggregation by processing data in Excel. Risk of misjudgment from inconsistent data definitions. No real-time view.

  • After

    Automatic data collection and normalization from all systems. Real-time data updates. Immediate analysis thanks to a unified format. Assured data quality.

02Workflow

Operational Flow

  1. 1

    Collect

    Automatic data collection from equipment, WMS, ERPAuto-collects from equipment, WMS, ERP

  2. 2

    Standardize

    Normalize heterogeneous data, convert to a unified formatNormalize mixed data into a unified format

  3. 3

    Used by each module

    Real-time data updates enable instant analysisReal-time updates enable instant analysis

  4. 4

    Support decisions

    A foundation for data-driven decision-makingA foundation for data-driven decisions

Collect

03Features

Key Features

  • Interface Basic Settings Maintenance
    Interface Basic Settings Maintenance

    Data Collection & Normalization

    • Integration with systems such as WMS, ERP, and MES
    • Real-time acquisition of IoT sensor and equipment data
    • Normalization of heterogeneous data and conversion to a unified format
    • Data quality checks and anomaly detection
  • Pipeline Management

    • Unified management of real-time and batch processing
    • Automatic detection of data delays and gaps
    • Automatic retry and recovery when errors occur
    • Ensuring data lineage (traceability)

Benefits

  • Direct Benefits

    Far less effort for data collection and processing. Much fresher data (daily → real time). Standardized data quality.

  • Indirect Benefits

    More advanced analysis. A foundation for data-driven decision-making. More flexible integration between systems.

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FIRST STEP

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