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Data Platform

The company with the capability to transform previously unprocessed information into analyzable data will become the market leader.

Building data platforms lays the groundwork for effective data collection and analysis.

  • 1 Real-time data collection through the integration of various data sources
  • 2 Integrated statistical data analysis functions
  • 3 A web-based integrated IoT platform with dashboard functionality
  • 4 Running a machine learning and deep learning-powered anomaly detection model

Beyond automation, To intelligence!

  • A core platform supporting facility monitoring, data analysis, and model operation through real-time data collection, storage, and visualization
  • Real-time data collection through the integration of various data sources, Integrated statistical data analysis functions
  • A web-based integrated IoT platform with dashboard functionality, Running a machine learning and deep learning-powered anomaly detection model

Same Input = Same Output

  • 1 The same processes across modules and facilities should ensure consistent outcomes.
  • 2 Managing facility capacity using quantitative metrics helps ensure consistent performance.

Health Index (for Prognostics and Health Management)

  • 1 A quantitative quality assessment index for evaluating the health status of facilities
  • 2 Facility quality can be maintained using objective indices.
  • 3 The time and cost involved in quality inspection of finished products
    are significantly reduced.

Health Index (for Prognostics and Health Management)

  • 1 Calculating the Health Index of facilities by applying parameter weights
    based on the ratio of current values to base values for each parameter
  • 2 When an anomaly (defect) occurs, the root cause can be quickly traced back.

An integrated dashboard for data collection, visualization, and analysis

  • 1 It provides real-time monitoring by collecting facility data every 30 milliseconds.
  • 2 It offers an analysis dashboard powered by various statistical methods, algorithms, and models.
  • 3 You can customize the interface as needed, with layouts optimized for the data.

An integrated solution that digitalizes quality and document data generated
throughout the production process, enabling systematic management

  • “Reviving dead data that have been meaninglessly accumulated to enable efficient production and actionable insights”

Data Digitalization

  • You can transfer meaninglessly accumulated documents into
    a structured database for management.
  • Various document formats are managed and integrated
    to reduce the risk of human error.
  • Approval and alert systems help streamline operational workflows

Automation

  • Automated data storage is provided through integration of
    production data with other systems.
  • You can easily input data with Excel formula support.

Trend Analysis

  • You can compare changes in both document formats and data.
  • By visualizing data based on various conditions, you can instantly see changes and extract valuable insights.
  • The support for natural language inquiries through LLM enables easier data visualization and insight generation.

Powered by a Large Language Model (LLM) utilizing stored data, it provides an intuitive analysis environment
that allows users to make natural language inquiries and automatically visualize results with no specialized skills required.
The time and human resources required for data analysis can be significantly reduced, and with regular data accumulation,
the system can be expanded into a predictive model.

A comprehensive monitoring solution that provides advanced monitoring functions for effective management of corporate IT systems

  • "Rapid detection and response to potential risks enabled by real-time integrated system management."

Data Digitalization

  • The in-house server room can be simulated and visualized using a 3D model.
  • Server operations and any resulting issues can be identified.
  • The server room layout can be easily adjusted by adding or removing monitoring servers.

Internal / External Alerting

  • Users can define alert rules effortlessly using intuitive UIs.
  • When an alert is triggered, external channels like Telegram, Slack, and others can deliver notifications.
  • Alert history can be easily managed in one place.

Real Time Monitoring

  • Operating systems, applications, and databases within the server can be monitored in real time.
  • All historical data can be searched from at one go.

More than a server monitoring tool, it delivers automation capabilities that significantly minimize users' working time.
System security is enhanced through automatic screen recording triggered during remote connections.
With automated KISA security checklists, periodic security assessments can be completed much more efficiently.