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Description
As digitalization continues to expand, the quantity and diversity of data are rapidly increasing, which also applies to your organization. Leverage the extensive range of data accessible through Cadenza data analytics software, which allows you to harness information from custom applications, databases, Internet of Things (IoT) devices, social media platforms, acquired datasets, and open spatial data like OpenStreetMap (OSM) or official open data sources. By transforming this available data into valuable insights, you can establish a robust foundation for decision-making within your organization. The Cadenza Data Analytics Platform offers a multitude of advantages, including the ability to discover new insights through data exploration, enabling you to analyze and combine your datasets flexibly. This empowers you to confirm or refute hypotheses and to gain a deeper understanding of intricate correlations and patterns within the data. With the ability to extract significant insights quickly, you can make well-informed decisions in a timely manner. Additionally, you can filter and analyze your data, presenting it in various formats such as tables, charts, maps, and interactive dashboards, allowing for easy dissemination of information across your organization. Ultimately, Cadenza equips you with powerful tools to maximize the potential of your data.
Description
OpenStreetMap offers mapping data utilized by countless websites, mobile applications, and devices. This platform is developed by a collaborative group of mappers dedicated to contributing and updating information about various features such as roads, trails, cafés, and train stations across the globe. It places a strong emphasis on local expertise, with contributors employing tools like aerial imagery, GPS technology, and simple field maps to ensure the accuracy and currency of the data. The community surrounding OpenStreetMap is diverse, enthusiastic, and continually expanding, encompassing hobbyist mappers, GIS experts, server engineers, and humanitarians who focus on mapping areas affected by disasters. For further insights into this vibrant community, one can explore the OpenStreetMap Blog, user diaries, various community blogs, and the OSM Foundation website. OpenStreetMap is categorized as open data, allowing users to utilize it freely for any purpose, provided that proper credit is given to OpenStreetMap and its contributors. This openness fosters collaboration and innovation, making it a valuable resource for a variety of applications.
API Access
Has API
API Access
Has API
Integrations
Eazy Ride
Hektar
JOpt.TourOptimizer
Morphic
Planfix
SuperMap GIS
SurvPC
UrbanSim
VEVS Bike Rental Software
VEVS Boat Rental Software
Integrations
Eazy Ride
Hektar
JOpt.TourOptimizer
Morphic
Planfix
SuperMap GIS
SurvPC
UrbanSim
VEVS Bike Rental Software
VEVS Boat Rental Software
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Disy Informationssysteme
Country
Germany
Website
www.disy.net
Vendor Details
Company Name
OpenStreetMap
Founded
2004
Country
United Kingdom
Website
www.openstreetmap.org
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis