Losing Customer Data Means Losing Customers, Period

Becoming the next Target can be toxic for companies, particularly those in the finance, health-care and retail sectors, which usually collect and store customers' personally identifiable information (PII).

11 minute read July 01, 2014 at 02:03 PM

Rebekah Mintzer

Losing Customer Data Means Losing Customers, Period

To see the negative financial impacts of a breach of sensitive customer data, look no further than Target Corp., where a holiday-season data breach of up to 110 million credit and debit card accounts cost the company $61 million to manage in the fourth quarter of 2013, and will almost certainly keep costing for months to come.

This premium content is locked for LawJournalNewsletters subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN LawJournalNewsletters

Stay current on the latest information, rulings, regulations, and trends
Includes practical, must-have information on copyrights, royalties, AI, and more
Tap into expert guidance from top entertainment lawyers and experts

Subscribe Now

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

Continue Reading

Real Property Law

Adverse Possessor Provided Insufficient Evidence to Support TackingTown’s Installation of Guardrails Did Not Constitute a TakingMortgagee Entitled to Deficiency JudgmentLandowner Adequately Alleged Trespass During Renovation

August 13, 2026

Entrepreneurship Is Already Hard: Rising Above Extraordinary Personal Crises to Build an Award-Winning Professional Reputation

Entrepreneurship. It has such a romantic ring, doesn’t it? When we hear the word, we think of incredibly successful people who must lead a charmed life. But the truth of the matter is often far from that. Just ask Melissa Rogozinski whose recent book, Becoming Phoenix, tells a much different story.

August 01, 2026

Applying the Zero Trust Model to Manage Risks of Agentic AI

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

August 01, 2026

California’s AI Transparency Stack: From State Obligation to Adoption Strategy

California is betting that it can accelerate AI adoption by acting as a demanding, trusted buyer, and that the governance evidence it extracts through procurement can become infrastructure the rest of the market reuses.

August 01, 2026

Advertise with Us Customer Support Terms of Service