OUR DSAR SOLUTION

Seven Steps to Automated DSAR Management.

Our seven step guide will show you how to assemble the right stakeholders, define your DSAR use case, build a successful business case that demonstrates ROI, and evaluate vendors.

With the ever-increasing workload and complexity generated by data subject access requests (DSAR), smart organisations are now automating these processes. But with a vast array of vendors out there promising supposedly improved workflows or redaction capabilities, how do you decide which option will best solve your particular business requirements in the most efficient way?

At Aiimi we feel any DSAR management solution worth its salt needs to have the accuracy of a data discovery engine at its core, and we’re confident that our Insight Engine is truly world class.

WHY DOWNLOAD THIS GUIDE?

Discover how to build your business case.

Our guide will show you how to assemble the right stakeholders, define your use case and goals, and build a successful business case that demonstrates ROI. Plus, discover how to approach your data challenge - and why any DSAR management solution worth its salt needs to have the accuracy of a data discovery engine at its core.

Download the guide.

Define your successful DSAR management solution in seven steps.
SEVEN STEPS TO SUCCESS

Here’s what you’ll find inside this guide.

Download our guide to find out more.
STEP ONE

Assembling Your Stakeholders.

The first thing you will need to do is assemble your stakeholders. These are the members of your business who interact with the current process and will stand to benefit from the proposed solution...


STEP TWO

Building Your Use Case Evaluation.

Simply put, a use case is a set of requirements that defines what is expected of a given system. It should act as a walkthrough to achieving your desired goal...


STEP THREE

Building Your Business Case Evaluation.

When developing a strong business case, it’s imperative to create a documented understanding of potential reputation, financial, and regulatory risks...


STEP FOUR

The Data – Mapping Your Data Landscape.

By this point, you should now have a fairly detailed picture of where your data and processes are currently at and where you would like to be...


STEP FIVE

The Playback.

All of the pieces to tailor your solution should now be in place. We take all of the findings from the previous four steps to construct wireframes, proposed workflows, and the technical implementation.


STEP SIX

The Proof-of-Concept Build.

We should now have reached a consensus from all parties as to how your end goal is to be realised and by what means. Now is when we can fine-tune the Insight Engine to your specific requirements...


STEP SEVEN

The Evaluation.

Finally, it’s time to measure success. Your key stakeholders now need to run through all of the business and use cases to confirm that the proof of concept has delivered against their specific criteria.