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What is DataSpark?

We convert mobility data into significant insights that enable companies to make informed choices. With our extensive APIs, customized mobility reports, and a committed team of data scientists, businesses can discover new avenues for expansion. Our detailed analysis focuses on both online and offline customer behaviors, particularly within the banking and finance industries. We offer a wide range of mobility data and telecommunications solutions, including applications, reports, and data consultancy services. By analyzing and visualizing movement patterns from multiple hotspots, we support the development of effective health policies. Furthermore, our use of telecommunications data provides valuable insights into consumer demographics and shopping behaviors. Our proficiency in handling large-scale telecommunication data also helps optimize capital expenditure investments efficiently. We partner with you to identify the most appropriate solutions tailored to your specific requirements, so don’t hesitate to contact us. DataSpark specializes in the processing of extensive geospatial and temporal mobility data, delivering actionable intelligence on individuals and locations while upholding rigorous data privacy and security standards. Our dedication to innovation guarantees that you receive top-tier insights within the industry, paving the way for strategic advancements in your operations. Through our collaborative approach, we ensure that your unique needs are at the forefront of our service offerings.

What is Azure Open Datasets?

Improve the accuracy of your machine learning models by taking advantage of publicly available datasets. Simplify the data discovery and preparation process by accessing curated datasets that are specifically designed for machine learning tasks and can be easily retrieved via Azure services. Consider the various real-world factors that can impact business outcomes. By incorporating features from these curated datasets into your machine learning models, you can enhance the precision of your predictions while reducing the time required for data preparation. Engage with a growing community of data scientists and developers to share and collaborate on datasets. Access extensive insights at scale by utilizing Azure Open Datasets in conjunction with Azure’s tools for machine learning and data analysis. Most Open Datasets are free to use, which means you only pay for the Azure services consumed, such as virtual machines, storage, networking, and machine learning capabilities. The availability of curated open data on Azure not only fosters innovation and collaboration but also creates a supportive ecosystem for data-driven endeavors. This collaborative environment not only boosts model efficiency but also encourages a culture of shared knowledge and resource utilization among users.

Media

Media

Integrations Supported

Microsoft Azure

Integrations Supported

Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DataSpark

Date Founded

2014

Company Location

Singapore

Company Website

www.dsanalytics.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/open-datasets/

Categories and Features

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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