White Paper

Solving Data Subject Rights'

Big Data Problem

Four recommendations plus the one thing you should never do


“Data privacy automation is needed to visualize where personal information is located across the organization’s geographical footprint, prove adherence to regulatory standards, and empower strategic decision making.”

Xavier Quintuna

Principal Big Data Architect,
Orange France Telecom

As seen in

Why Integris Software?

Deep and Accurate Discovery of Sensitive Data

Supports Every Data Type, At Rest or In Motion

Secure, Scalable, Microservices Architecture

Data Hub for Fact-Based Decision Making

Integris Software, Inc. Copyright © 2019

Prepare now for a DSR "Denial of Service Attack"

After reading this white paper, you'll understand:

  • Why data subject rights is a big data problem & how to solve it

  • The five critical data subject request fulfillment capabilities

  • A novel three-step approach to reducing your PI surface area

  • How to prevent your data lake from becoming a data dumpster