Happy Friday to the Integral community,
It’s been a few weeks since the official launch of Integral’s Privacy Workbench. We’ve seen a tremendous rate of adoption of the platform since its inception and are working furiously behind the scenes to improve and scale the platform quickly.
We are establishing this blog as a forum for our team to walk through the platform and keep you updated on things we are working on.
This blog will generally take shape in 3 forms:
- Bi-weekly product updates
- Product development deep dives
- Product-driven market commentary
As the inaugural edition of this series, this post will serve as a digital walkthrough of the Privacy Workbench platform.
What is the Privacy Workbench?
Privacy Workbench is a radical departure from the existing set of solutions in the data privacy space.
Instead of weeks of manual review, Privacy Workbench introduces a transparent, milestone-based approach to the expert determination process.
Our platform breaks down the process of producing an expert report into 4 distinct milestones that are easily tracked and filled with sub-tasks. As a result of this approach, we’re able to produce expert reports at incredible speed and maintain high fidelity in datasets we certify. Let’s take a closer look at navigating Privacy Workbench.
👉 Using our Platform 👈
Our platform has 5 different navigation options:
🔍 Inside the Overview Tab
The milestone view enables users to monitor progress in real-time and identify pending tasks. This fosters a solid framework for accountability amongst all parties. Within each milestone, a detailed list of associated subtasks offers clear guidance on pending actions and steps to completion.
Each milestone has a subpage with different tasks associated with it. Each task is configurable with assignee, due date, and status.
Below is an example of the Security and Legal subpage:
📅 Our next edition will walk through the Analytics tab of our platform which visualizes the results from our Privacy Risk Engine and gives insights into privacy-concerning columns and user data.
