Enabling internal data sharing.

Connect to a single or multiple internal data sources and share internally with ease.

 

The current challenges with internal data sharing

With databases and data records growing at an exponential rate, business analysts/data scientists spend a lot of their time sifting through large datasets in an effort to generate insights for their business’ products and/or services. In many cases, data providers copy or mirror their data sets so that internal end users have the ability to analyze the data in a manner that may not be secure or anonymized. This process can be inefficient and increase the risk of data breaches especially when only a certain segment of data from the dataset needs to be analyzed by an end user.

 

How it works

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".

  • 1. Define user attributes

    Data owners can define the rules of engagement for each data set based on their organization's data governance standards.

  • 2. Enable preview of data

    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.

  • 3. Build a data job

    End users will be able to use their data previews to create queries simply with Bitnobi’s visual workflow canvas.

  • 4. Secure transformed, aggregate data only

    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.

Features

  • 100% web-based

  • Dynamic access control

  • Data catalogue

  • Visual workflow interface with python and R scripting capabilities

  • Internal data visualization tool

  • Integration with third party, data analytic packages

  • Blockchain-based, data audit log available to data provider

End-user Benefits.

  • Short learning curve to learn the interface and software capabilities

  • The features enable both simple and complex data queries based on the needs of the end user

  • Once set up and policies are created, it enables immediate access to data for end users

Data Owner Benefits.

  • Simple and easy setup

  • Share data faster with members in your team, department or organization

  • Securely access approved datasets from anywhere

  • Share data while ensuring copies of data are not being distributed, copied or misused 

  • Enable analysts of all skill levels and needs

  • Track the usage of datasets through the audit log

Internal data sharing use case example.

Jane Smith works for Company A as a researcher in the mental health department and needs access to the mental health characteristics and suicidal thoughts (Statistics Canada) dataset…

See use case

Downloads

Here are some documents for download. Please feel free to share with others in your organization.

 

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