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May

Use case demo: How to build an LOI Generator | Virtual (Zoom)

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Data Privacy

In a data driven world, the management of personal data and the increasing regulation on personal data can be significantly leveraged through automation.

Organizations striving to become digital, require a data strategy in order to make their transformation successful. As consumers and businesses are taking ownership over data, privacy regulations are key components for a functioning of a modern society. The way that data is processed, stored and analyzed is constantly changing from a technological perspective, but there are also restrictions being put in to place whether it is from a legal, compliance, or regulatory framework point of view.

There is scrutiny coming from all angles: clients, consumers, regulators, and those within the organization such as security and legal professionals. As a result, there is increasing complexity about how data is handled within an organization and more of an emphasis on data privacy officers, lawyers in data privacy and data compliance officers.

By digitizing processes, those within an organization that have to consider data privacy will be more able to react accordingly. This is because:

  • Use of software and digital tools leads to the generation of more data, and therefore an increase in the use of data
  • At the same time, more tools are available to measure, manage and control this data
  • Automation is a key driver to get a logical understanding of how data is being used or whether a data-related project meets data privacy obligations
  • Automation is also crucial in creating an efficient way of using tools to store, process and analyze data
  • Automation can also be used to create transparency to internal and external stakeholders that need to know how the data is being handled

No-Code automation is a key advantage for data privacy stakeholders:

BRYTER helps organisations to build data privacy into the development of business processes for products and services without the need for programming expertise. By making sure that processes are designed with data processes in mind:

  • Guided knowledge: Develop tools that make it easy for everyone within an organization to navigate through complex data privacy regulations and get the required answers. 
  • Integrated processes and workflows: Develop tools that streamline and standardize data privacy assessments and related tasks. 
  • Self-service offering: Support business entities by offering self-service solutions to generate data privacy notices, assess possible data breaches and handle subject access requests to ensure that all policies are applied consistently. 
  • Scalability: BRYTER’s no-code platform enables data privacy specialists to transform their expert knowledge into digital tools and thereby scale such knowledge at large scale. 
  • Highly customizable: Build solutions that reflect the specific requirements of certain industries; all applications can easily be amended and maintained over time.