Data Village provides data management, data tracking and data collaboration solutions for all industries. Our products keep your data safe, secure, organized, interoperable, confidential and compliant. Our customers include Fortune 500 companies, governments, and business users world-wide. To date we have sold over 10,000 database applications and numerous custom solutions. Unlock the value of your data today using our cost-effective innovative solutions!

Our area of expertise is providing simple solutions to complex problems. Unlike competitors that often try and sell you on products that you don't need, we custom build solutions tailored to your specifications, efficiently maximizing the value of your data. We also have experience with ISO standards, and privacy regulations, ensuring data integrity in custom built products.

In the past we have created e-commerce systems, point of sale systems, Customer Relationship Management (CRM) systems, employee human resource management databases, people tracking software, data collaboration platforms, inventory databases, contact tracing solutions, student tracking portals, federated search repositories, intelligent forecasting systems, invoicing solutions, real-time IoT sensor databases and more.

We have a diverse range of experience, including front-end, back-end and full stack development. Here are some of the platforms, technologies and systems we have worked with:

We also have experience with containerization and orchestration systems like Docker and Kubernetes, most recently we have integrated our software with ChatGPT from OpenAI.

If you require assistance with any of the above technologies, please contact us for a free consult!

Recent Projects:

• Intelligent Scraping Tool: A data-driven windows desktop application that scrapes the web for automotive sales and consumer data. Information is used for data analytics, inventory sourcing, market forecasting, customer outreach and industry research.


• Student / Tutor Collaboration Platform: A web-based system built around a RESTful API gateway that facilitates collobration and data sharing between students and academic coaches. Data analyzed to allow administrators to confidentially gain insights into student struggles. Utilizes ChatGPT API from OpenAI. Built with Spring Java and Angular.
  
  
• Mental Health Recommendation System: A web-based system that confidentially matches patients with medical health practitioners using machine learning collaborative filtering algorithms (machine learning is supported by the Microsoft ML.NET library). Backend dashboard where administrators can gain data-driven insights into community mental health needs. Built with C# .NET and REACT. GDPR compliant - user privacy is completely preserved and system recommendations are private.
  
  
• Automated Kiosk Software: A windows desktop application that programs touch screen kiosks for advertising and allows businesses to share services and offers with consumers. Integrates with various 3rd party API's to retrieve real-time data. Collects data for analytics in a C# .NET backend. Reporting component lets users forecast demand for kiosk services in restaurant, travel and hospitality industries.
  
  
• Weather Station IoT Data Collection: A collection of tools that creates a data pipeline from remote Campbell Scientific weather sensors to cloud services running on AWS. Raw CSV data is loaded into a PostgreSQL database, enhanced with meta-data and made accessible using an Open API, supporting data interoperability. The system facilitates collaboration between scientists, and allows scientists to obtain insights into climate trends. Companion apps built in Angluar and Leaflet show data on a geographic map.
  
  
• Carbon Forecasting System: Experimental Python system that attempts to predict carbon output using Pandas Time Series libraries, electricity maps API and real world data from Microsoft Bing Web Search API.
  
  
• FRS Radio Messaging: A system that allows users to send messages to on-site FRS radios on the cloud. Facilitates collaboration and communication between remote users and on-site personal. Built with Microsoft C# .NET. Using ML/AI libraries Data can be used to predict worker load and future staffing shortages.
  
  
• SR&ED Applications: We have successfuly assisted numerous clients with obtaining Scientific Research and Experimental Development (SRED) tax incentives. If you are in Canada and we develop an innovative product for you, there is a good chance some of the cost can be covered through SR&ED.

We can host custom solutions on our DataVillage.com website or on cloud services, or you can often install created software on your own servers.

In 2015 Data Village also helped to implement an innovative data propogation patent that attempts to put financial values on data that has been shared on the internet. Data sharing and collaboration can provide numerous financial benefits, depending on the type of data being shared. Our gateway API and companion algorithms attach financial values to data, and increase those values based on sharing activity. For our test application, our API was used to automatically increase coupon values as coupons were shared across social networks.

Do you have a unique data related problem that you need to solve? Get in touch for a free consultation!