CleverMaps
Semantic Layer

CleverMaps
Semantic Layer

The analytics engine for your spatial data. Create a data model, establish a metrics layer and query your data within the CleverMaps ecosystem and beyond. 

The analytics engine for your spatial data. Create a data model, establish a metrics layer and query your data within the CleverMaps ecosystem and beyond. 

CleverMaps Semantic Layer
CleverMaps Semantic Layer

WHAT IS THE SEMANTIC LAYER

Analytics Layer for Your Location Data

The Semantic Layer translates source data into business objects, making analysis accessible to less technical users. It enables ad hoc geospatial analysis without complex SQL queries. Utilize standard BI principles to define a logical data model, create a reusable metric layer, and calculate any data report. Use it within the CleverMaps platform or as a part of your current data stack.

FEATURES

Key CleverMaps Semantic Layer Capabilities

Discover how the CleverMaps Semantic Layer empowers data analysts, engineers, and integrators to efficiently manage, integrate, and analyze data for actionable insights.

Ad-Hoc Reporting & Analytics

The data model and metrics enable complex analyses quickly, without SQL. Easily prepare map views in CleverMaps Studio and integrate them into web apps, mobile apps, SDKs, or via REST API and regular exports.

Ad-Hoc Reporting & Analytics

The data model and metrics enable complex analyses quickly, without SQL. Easily prepare map views in CleverMaps Studio and integrate them into web apps, mobile apps, SDKs, or via REST API and regular exports.

Ad-Hoc Reporting & Analytics

The data model and metrics enable complex analyses quickly, without SQL. Easily prepare map views in CleverMaps Studio and integrate them into web apps, mobile apps, SDKs, or via REST API and regular exports.

Scalability & Performance

Flexibility and scalability for managing spatial analytics projects. Features include CLI tooling, GIT versioning, and a query engine that optimizes for efficiency and speed using advanced SQL and multi-level caching.

Scalability & Performance

Flexibility and scalability for managing spatial analytics projects. Features include CLI tooling, GIT versioning, and a query engine that optimizes for efficiency and speed using advanced SQL and multi-level caching.

Scalability & Performance

Flexibility and scalability for managing spatial analytics projects. Features include CLI tooling, GIT versioning, and a query engine that optimizes for efficiency and speed using advanced SQL and multi-level caching.

Comprehensive Deployment & Security

Certified by SOC2 and ISO27001, it offers flexible deployment options: pure SaaS, dedicated DWH, on-premise DWH, or on-premise Kubernetes. Robust security features include access control, audit logs, and SSO.

Comprehensive Deployment & Security

Certified by SOC2 and ISO27001, it offers flexible deployment options: pure SaaS, dedicated DWH, on-premise DWH, or on-premise Kubernetes. Robust security features include access control, audit logs, and SSO.

Comprehensive Deployment & Security

Certified by SOC2 and ISO27001, it offers flexible deployment options: pure SaaS, dedicated DWH, on-premise DWH, or on-premise Kubernetes. Robust security features include access control, audit logs, and SSO.

GeoSpatial Analysis & Integration

Geospatial data analysis, such as catchment areas and drive-time zones. Quick calculations from point data to aggregated state-level reports. Adding new datasets is straightforward due to flexible data model.

GeoSpatial Analysis & Integration

Geospatial data analysis, such as catchment areas and drive-time zones. Quick calculations from point data to aggregated state-level reports. Adding new datasets is straightforward due to flexible data model.

GeoSpatial Analysis & Integration

Geospatial data analysis, such as catchment areas and drive-time zones. Quick calculations from point data to aggregated state-level reports. Adding new datasets is straightforward due to flexible data model.

Data Quality & Management

A robust system of reusable metrics on a multidimensional data model ensures consistent and accurate calculations. All users work with a unified data view, eliminating inconsistencies and enhancing data quality.

Data Quality & Management

A robust system of reusable metrics on a multidimensional data model ensures consistent and accurate calculations. All users work with a unified data view, eliminating inconsistencies and enhancing data quality.

Data Quality & Management

A robust system of reusable metrics on a multidimensional data model ensures consistent and accurate calculations. All users work with a unified data view, eliminating inconsistencies and enhancing data quality.

For more features

WHY CLEVERMAPS

When to use CleverMaps Semantic Layer

The CleverMaps Semantic Layer enhances data analysis efficiency, supports scalable application development, and enables complex geospatial analyses. It integrates diverse data sources, ensures accurate calculations, and maintains high data security standards.

Enhance Data Analysis Efficiency with a unified view of data.

Build Scalable Applications and Monetize Data whether from scratch or with other CleverMaps products.

Complex Data Analysis in a Geospatial Context to identify key geographic trends and patterns.

When to use CleverMaps Semantic Layer
When to use CleverMaps Semantic Layer
When to use CleverMaps Semantic Layer
Visualization of CleverMaps Semantic Layer for creating Data Models and Metrics
Visualization of CleverMaps Semantic Layer for creating Data Models and Metrics
Visualization of CleverMaps Semantic Layer for creating Data Models and Metrics

Integrate and Manage Diverse Data Sources: internal and external data sources for comprehensive insights.

Improve Data Quality and Consistency: accurate calculations and reusable metrics.

Maintain Data Security and Compliance: protect your data with SOC2 and ISO27001 certifications.

FAQ

You May be Wondering

How does the Semantic Layer handle large geospatial datasets efficiently?

How does the Semantic Layer handle large geospatial datasets efficiently?

How does the Semantic Layer handle large geospatial datasets efficiently?

What analytical capabilities does the Semantic Layer offer beyond traditional GIS tools?

What analytical capabilities does the Semantic Layer offer beyond traditional GIS tools?

What analytical capabilities does the Semantic Layer offer beyond traditional GIS tools?

What cost advantages does the Semantic Layer offer over traditional GIS software?

What cost advantages does the Semantic Layer offer over traditional GIS software?

What cost advantages does the Semantic Layer offer over traditional GIS software?

What makes the Semantic Layer accessible for non-GIS experts?

What makes the Semantic Layer accessible for non-GIS experts?

What makes the Semantic Layer accessible for non-GIS experts?

START TODAY

Turn Location Into Your Success Today

START TODAY

Turn Location Into Your Success Today

START TODAY

Turn Location Into Your Success Today

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