A privacy protected, data sharing platform which keeps raw data at the source and sends aggregate data only to end user
Bitnobi acts as a mediator, placing the onus for launching data jobs on the end user by ensuring that the end user meets the data provider's "rules of engagement".
How it works
Data owners can define the rules of engagement for each data set based on their organization's data governance standards.
Based on the rules of engagement created by data owners, end users will be able to see previews of the data they have access to.
End users will be able to use their data previews to create queries simply with Bitnobi’s visual workflow canvas.
End users are able to see preview results from their query and visualize it using our simple reporting tool or integrations with other reporting tools.
Move the end user’s query to the data provider instead of moving copies of data to the end user.
Intuitive simplicity through the visual drag and drop interface for data provider and end user.
20% of data breaches happen because of copies of data being transferred to end users. With Bitnobi, end users leverage a segment of data for further data analysis instead of receiving copies of big data.
Data providers set rules of engagement and rely on Bitnobi to move queries to their infrastructure for execution.
End users only see a preview of data while building their data query which is verified against the data provider’s privacy rules.
Share data internally, externally or across government departments in a secure manner. Bitnobi is a pre-qualified innovation under the Build In Canada Innovation Program
Streamline health informatics research with faster access to data based on rules of engagement set by healthcare data custodians
Secure access to data faster from enterprise data repositories so that business analysts can report on financial metrics
Founded in March 2016 at York University with the full support of Innovation York and Toronto Innovation Acceleration Partners, Bitnobi's patented system was designed and developed by big data, cloud computing and cybersecurity experts who identified the problem of sharing Big Data across varying data infrastructure with different types of users.
