mcframe COCKPIT

mcframe COCKPIT

Unlock the full value of your manufacturing data with mcframe COCKPIT

     

Turn data from ERP, IoT, MES, and across your operations
into actionable insights through dashboards, BI, and ready-to-use templates.

What is mcframe COCKPIT ?

mcframe COCKPIT is a manufacturing-focused data utilization platform that integrates data from ERP, MES, IoT, and other systems, and transforms it into meaningful insights.

It consists of:

  1. A high-performance BI engine
  2. Interactive dashboards
  3. Industry-specific templates
This enables companies to quickly start using data and scale their analytics capabilities based on their maturity level.

Powered by Dr.Sum & MotionBoard
Rapid Information Utilization through Template Sets
Powered by Dr.Sum & MotionBoard

mcframe COCKPIT is built on Dr.Sum and MotionBoard, combining high-speed data processing with powerful dashboards.
It integrates data from mcframe ERP, IoT, and other systems, and transforms it into structured data models and visual dashboards.

This enables both:

  1. Quick start with direct data access
  2. Scalable data utilization with data warehouse architecture


Rapid Information Utilization with mcframe Templates

Designed specifically for companies using mcframe, these templates incorporate real-world use cases and best practices accumulated from actual implementations.
They enable organizations to start data utilization immediately and apply insights to real business scenarios. .

Apply Templates to Real Manufacturing Scenarios

Use Case Scenario 1 : Cost Trend Analysis & Improvement
Understand cost trends and evaluate improvement progress
Visualize cost trends by department, process, and product to identify changes and track improvement activities.
Outcome: Better cost control and continuous improvement.


Use Case Scenario 2 : Budget Planning & Profit Monitoring
Create detailed budgets and track sales and profit performance
Compare budget scenarios and monitor actual performance against plan to support better planning and decision-making.
Outcome: More accurate budgeting and improved financial control


Use Case Scenario 3 : Inventory Optimization
Achieve optimal inventory levels and reduce excess stock
Prioritize high-value items and visualize inventory trends to anticipate overstock or stock out risks.
Outcome: Improved inventory efficiency and reduced waste


You can download product information or search for other products here.