DataFrame Operation

Optimize and orchestrate your industrial operations with maximum efficiency

More than just structure, DataFrame Operations lets you contextualize and visualize your entire industrial operation with hierarchy, metadata, and dynamic relationships. Your data finally makes sense—with descriptions, locations, owners, relationships, and more—all without writing a single line of code.

What is DataFrame Operations?

DataFrame Operations is the simplest and most powerful way to organize your industrial operations in a digital environment. It connects people, equipment, and data in a clear, flexible structure—without writing a single line of code. Turn your plant’s complexity into useful, accessible information ready for action.

What does it solve?

  • Organize areas, lines, equipment, processes, or any entity in a visual and flexible tree structure.
  • Add key information like installation date, location, technical specifications, responsible personnel, and any other metadata relevant to your operations.
  • View and access live data from multiple sources through seamless integration with DataFrame Connectivity.
  • Define dynamic relationships between areas, equipment, and variables, connecting information in a logical and operationally meaningful way.

Key Features

  • No-Code/Low-Code Orchestration: Build the structure your plant needs—from simple to multi-level—and easily adapt it as your operations grow.
  • Visually modify, add, or remove areas, lines, equipment, and tags at any time.
  • Each entity can have its own metadata, descriptions, and custom properties.
  • Export information from any part of the operational tree in CSV or PDF format for analysis, audits, or presentations.

Business Benefits

With DataFrame Operations, you leave behind the chaos of isolated data and gain traceability, context, and efficiency. Instantly locate any variable or equipment, simplify audits and regulatory reporting, improve collaboration across teams and departments, and adapt or scale your operational structure as your plant evolves.

Featured Use Cases

With DataFrame Operations, you can explore your plant with a clear and logical view—from the big picture down to the details of each piece of equipment or variable. Associate sensors and variables with their real location and operational context, add or update information anytime without disrupting ongoing operations, and generate ready-to-share reports in seconds.

Turn data into useful information—no coding required

Give your data meaning and structure

Build your plant’s operational structure intuitively—organizing areas, subareas, lines, equipment, and processes in a fully visual environment. Associate variables, sensors, and any type of data with their real location within the hierarchical tree, adding custom properties like responsible person, installation date, physical location, and technical specifications.

Forget complex development or technical configurations—everything is managed through a 100% web-based platform, accessible to any end user without writing code. Thanks to a no-code/low-code approach, you can create, modify, or reorganize your operational structure in minutes—securely, simply, and collaboratively.

Visual plant view—simple for all

Manage areas, subareas, lines, and equipment in a tree-like structure that’s visual, flexible, and hassle-free.

100% no-code—truly for everyone

Organize areas, subareas, lines, and equipment in a visual, flexible tree structure—easy to edit and expand at any time.

Enriched data, meaningful insights

Add metadata and properties to equipment, lines, or areas to give real context to every operational data point.