Request a Demo

GIS Power for Location-Based Smart Decisions with i-frame

Geographic Information Systems (GIS) are a set of integrated systems that enable the collection, storage, analysis and visualization of location-based data. It guides decision-making processes by making sense of spatial information; it provides organizations with answers not only to the question of “where” but also to the questions of “why here” and “how to make it better”.

Time Saving
0 %
Source: The Science Of Where

The Difference Between Traditional Methods and i-frame

Traditional GIS solutions often required high hardware investments, separate software systems and manual data management processes. Since data from different sources could not be integrated, analysis processes were limited. Visualization was performed through separate tools.

How i-frame Transforms This Process

i-frame does not only offer GIS infrastructure as a map visualization tool; it makes it an active component of business processes. In other words, the user can not only mark a region on a map, but also manage all functions such as approval processes, asset management, document links or risk scoring on the same platform. Thus, geographic data is no longer a static source of information, but a dynamic decision support mechanism.

  • The GIS module is embedded in the platform.
  • Data is processed directly in the platform with structures such as points, lines, polygons.
  • By working integrated with other modules, it transforms spatial analysis into business processes.
  • Maps and reports can be presented directly in dashboard components.

Empowering businesses with GIS solutions

Ease of Use and Integration Capability

Feature Traditional Methods i-frame
Hardware Requirement High, specialized systems Web-based, no installation required
Map Processing External software is used Real-time visualization with built-in components
Data Layers Managed in separate files Multi-layer management within the platform
Integration Requires additional software or middleware Comes with ready REST API and GIS integration
Mobile Compatibility Limited Responsive and device-independent
Data Analysis Manual Automatic reporting and map-based filtering

Key Features

Each location can be defined as an object in the system. The areas defined on the map can be connected to processes and made meaningful.

Map layers are integrated into the dashboard module and simple, interactive and analysis-oriented report screens are presented to the user.

Satellite imagery, plot data or GIS data sources can be made part of process decisions in the system.

Standard file formats such as KML, SHP, GeoJSON are supported and work with different projection systems.

Geographical data is authorized on a user and role basis according to its sensitivity and recorded with logging.

Where is i-frame used?

  • Zoning, transportation and infrastructure planning in urban planning projects
  • Water resources, forest and waste monitoring in environmental management
  • Impact area visualization in disaster and crisis management
  • Geographical analysis in energy and mineral exploration
  • Logistics, marketing, sales distribution analysis
  • Location-based process tracking of public institutions

Who is using it?

  • Urban planners and public administrators: Those who want to base spatial decisions on data
  • Engineering and infrastructure teams: Those who manage operations with real-time map analysis
  • Disaster management and environmental analysts: Those who want to predict risks spatially
  • Corporate decision makers: Those who want to visualize regional performance and potential
  • All users: Anyone who wants to create simple, functional solutions with complex geographic data

Advantages of Using i-frame

  • Integrated and sustainable management of geographic data within the platform
  • Hardware-free, web-based geospatial solution
  • User-specific map layers and reporting
  • Transforming GIS data into business processes
  • Embedding spatial data in institutional memory
  • Supporting a culture of map and process-based decision making

Kariyer Formu