By using this site, you agree to the IDC Privacy Policy

TECH BUYER Aug 2019 - IDC Perspective - Doc # EUR144694319

Functional Separation — Protecting Big Data in a Privacy-Conscious World

By: David Senf, Philip CarnelleyAVP, European Software Group, Dominic TrottResearch Director, European Security & Privacy

Abstract

This IDC Perspective outlines how organizations can process personal data using functional separation to avoid falling out of compliance with privacy regulations. Big Data projects involve multiple phases, including data collection, data integration, data analysis, and data distribution, during which protection of personal data must be considered for use within business processes. Both direct and indirect identifiers of customer, patient, employee, and other data subjects are handled differently depending on the use case. Organizations must continue to benefit from data assets, but must set in place the right solutions, processes, and training to safeguard privacy.

"Organizations must take appropriate steps to protect personal information to safely extract value from their data assets," said Dominic Trott, research director, European Security and Privacy. "Secondary usage of data beyond the purpose for which consent was initially obtained is a thorny issue where functional separation, sometimes called de-identification, can significantly reduce risks. This can enable organizations' Big Data projects to proceed while they protect privacy within the context of a growing list of international regulations."


Coverage

Content


Get More

When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.



Related Links

Do you have questions about this document
or available subscriptions?

Contact Us