Big data raises serious privacy concerns that need to be addressed, sooner rather than later, report says.
16 Top Big Data Analytics Platforms
(Click image for larger view and slideshow.)
Big data's potential is enormous -- for good and bad. A new report from the White House on big data's transformative qualities takes a deep dive into data-related privacy and security issues.
The key takeaway: Big data is creating numerous privacy issues that need to be addressed, sooner rather than later.
"A significant finding of this report is that big data analytics have the potential to eclipse longstanding civil rights protections in how personal information is used in housing, credit, employment, health, education, and the marketplace," the report's introduction states. "Americans' relationship with data should expand, not diminish, their opportunities and potential."
The report discusses a variety of privacy topics, including these five:
1. De-identification doesn't always work. Organizations often use privacy-protection technology to "de-identify" data linked to a specific person or device. Unfortunately, re-identification techniques are just as effective at piecing the link together again.
The report states: "…integrating diverse data can lead to what some analysts call the 'mosaic effect,' whereby personally identifiable information can be derived or inferred from datasets that do not even include personal identifiers, bringing into focus a picture of who an individual is and what he or she likes."
As technologies to re-identify "anonymous" data grow more powerful, it's unclear how individuals will control their information and identities, or challenge decisions based on information culled from multiple datasets.
2. "Perfect personalization" could aid discrimination. The fusion of different types of unstructured data allows marketers to "deliver exactly the right message, product, or service to consumers before they even ask," the report says. "Unfortunately, 'perfect personalization' also leaves room for subtle and not-so-subtle forms of discrimination in pricing, services, and opportunities."
Jeff Bertolucci is a technology journalist in Los Angeles who writes mostly for Kiplinger's Personal Finance, The Saturday Evening Post, and InformationWeek. View Full Bio
6 Tools to Protect Big DataMost IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
Big Data Brings Big Security ProblemsWhy should big data be more difficult to secure? In a word, variety. But the business won’t wait to use it to predict customer behavior, find correlations across disparate data sources, predict fraud or financial risk, and more.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?