Gartner Research

How to Overcome Pitfalls in Data Classification Initiatives

Published: 31 July 2014

ID: G00265377

Analyst(s): Eric Ouellet

Summary

Most data classification implementations continue to be unexpectedly complex and time-consuming, and fail to produce practical results. CISOs and data, loss and prevention leaders should simplify schemes and allow for flexibility to make them useful and valuable for the entire organization.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Keep It Simple: If Users Do Not Understand It, They Will Not Use It
  • Understand the Data Beyond Classification
  • Resist the Temptation to Overclassify
  • Understand That Data Classification Does Not Equal Security
  • Do Not Assign a Data Classification Label or Tag in Perpetuity
  • Leverage Automation
  • Apply Classification Dynamically at the Time of Use
  • Work Within the Known Limitations of Data Classification and Your Organization
  • Decide Whether a Classification Is About Integrity or Confidentiality
  • Focus Data Classification Deployments on Specific, Actionable and Funded Business Issues

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