Transforming Unstructured Data into Location-Aware Intelligence

Organizations today generate and store enormous amounts of information across data lakes, document repositories, archives, and operational systems. Data discovery and DSPM solutions help organizations identify, classify, and protect this information.

However, understanding what data exists is only part of the challenge.

Information also has a spatial dimension.

A document, image, video, CAD file, or technical record may contain valuable information related to a specific asset, facility, region, or field operation. The location context hidden within this information is often difficult to discover and analyze.

GEODI Spatial Intelligence reveals the hidden spatial meaning within unstructured data by connecting information with its geographic context.

Adding the Missing Spatial Dimension to Data Intelligence

Traditional data intelligence helps organizations answer:

• What information do we have?
• Where is sensitive information stored?
• How is data classified?
• Who can access it?

GEODI Spatial Intelligence adds another critical question:

Where does this information matter in the real world?

By combining unstructured data understanding with spatial intelligence, GEODI enables organizations to discover relationships between information, location, and context.

Discover Spatial Information Hidden in Unstructured Data

Valuable location-related information is often hidden inside:

• Documents and reports
• CAD files
• Images
• Videos
• Archives
• Technical records
• Field data

Unlike traditional GIS workflows that require information to be structured beforehand, GEODI helps identify spatial references directly from existing content.

Users can discover:

• Locations
• Assets
• Parcels
• Kilometer references
• Geographic entities
• Relationships between information and places

GEODI Spatial Intelligence Capabilities

🗺️ Spatial Visualization

Explore CAD and GIS content together with related information through an integrated spatial view.

Understand relationships between data sources and their geographic context.

📂 GeoArchive Intelligence

Connect archived content with locations and make historical information easier to discover, explore, and analyze.

Transform archives from passive storage into searchable spatial knowledge.

📍 Spatial Recognition

Automatically identify and extract spatial references from unstructured content.

Recognize location-related information such as:

• Parcel references
• Kilometer points
• Geographic identifiers
• Spatial entities

🎥 Location-Aware Video Intelligence

Connect video content with geographic locations.

Explore videos through their spatial context and relate observations to specific places, assets, or events.

🛠️ GIS Utilities

Support spatial workflows with practical tools for working with geographic information and spatial analysis.

Spatial Intelligence Use Cases

📍 Sensitive Data Spatial Analysis

Sensitive information is not only defined by what it contains — its location can also be critical.

GEODI Spatial Intelligence enables organizations to understand:

• Where sensitive information is generated most frequently
• Which locations contain higher concentrations of sensitive data
• Where information-related risks are concentrated
• Which areas require additional attention

Examples:

• Sensitive data density heat maps
• Geographic distribution of PII-related information
• Risk concentration analysis by region or facility

🔥 Spatial Frequency Analysis

Discover geographic patterns hidden within enterprise information.

Examples:

• Where are documents generated most frequently?
• Which locations create the highest volume of information?
• Which assets have the highest information activity?

Spatial frequency analysis helps organizations identify trends and prioritize actions.

🗺️ Data Heat Maps

Transform information discovery results into visual intelligence.

Examples:

• Sensitive data concentration maps
• Document creation density maps
• Asset-related information distribution
• Regional activity patterns

Instead of reviewing thousands of records individually, users can immediately identify areas requiring attention.

🏢 Asset and Infrastructure Intelligence

Connect enterprise information with physical assets.

Examples:

• Infrastructure documentation
• Inspection records
• Technical reports
• Field videos
• Historical archives

Users can understand:

• Which assets have the most associated information
• Where documentation gaps exist
• Which locations require further investigation

From Data Discovery to Spatial Understanding

Traditional data intelligence helps organizations understand their information.

GEODI Spatial Intelligence helps organizations understand where that information exists, how it is distributed, and why its location matters.

By transforming unstructured data into location-aware intelligence, GEODI enables organizations to discover new insights from the information they already own.

GEODI Spatial Intelligence

Transforming unstructured data into spatial understanding.

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