TORONTO, June 10, 2014 /CNW/ - Moving organizations forward by using Big
Data analytics to unlock new insights and protect personal information
in tandem is achievable by taking a proactive approach — by
implementing the principles of Privacy by Design, neither innovation nor privacy need be sacrificed!
In order to demonstrate the successful deployment of privacy-protective
Big Data strategies, Ontario's Information and Privacy Commissioner,
Dr. Ann Cavoukian, and Deloitte experts, Beth Dewitt, Manager and
Privacy Specialist, and David Stewart, National Advanced Analytics
Leader, have jointly released a new white paper, "Achieving Big Data Innovation Without Compromising Privacy".
Through careful planning and the application of Privacy by Design principles, a doubly-enabling "win-win" solution may be realized —
demonstrating that privacy can serve as an inspiration for innovation.
As data analytics advance and the vastness of datasets grow, so does
the risk of new linkages between seemingly non-identifiable
information, which may enable data processors to identify individuals,
revealing their lifestyles, consumer habits and much more. This
increased ability to gather personal information has led to suggestions
that our notions of privacy must change in a Big Data world. This
paper asserts that these suggestions reflect an outdated, zero-sum way
of thinking — sacrificing one interest (innovation) for another
(privacy); a positive-sum solution is not only achievable, but
necessary to build consumer trust into innovative technologies.
This white paper features case studies from Deloitte clients and
explores three key strategies for Big Data deployment:
Data Minimization: an approach which eliminates the privacy risk at the
earliest stage of the data lifecycle.
De-identification: a method of stripping the dataset of all information
which could be used to identify individuals.
User Access Controls: a process of granting or denying specific
requests, to obtain and use information, as directed by the user.
"We do not have to sacrifice privacy or shackle innovation for the sake
of Big Data analytics," said Commissioner Cavoukian. "Through careful
planning and the application of privacy techniques, such as those
embodied in Privacy by Design, organizations can use data for its desired effects, while at the same
time protecting the personal information contained in the data. It is
indeed possible to have both Big Data and Big Privacy."
"Today, what people used to keep private - friends, vacation plans,
favourite restaurants and brands - has become very public. At the same
time, the Big Brother-like ability to track, store and analyze this
data has grown exponentially. Organizations must strike a balance
between customers' and employee's willingness to provide data and their
privacy concerns and needs," says David Stewart, National Advanced
Analytics Leader at Deloitte. "In this paper we help companies
understand, identify and mitigate the risks associated with embarking
on Big Data."
About the Information and Privacy Commissioner of Ontario
The Information and Privacy Commissioner is appointed by and reports to
the Ontario Legislative Assembly, and is independent of the government
of the day. The Commissioner's mandate includes overseeing the access
and privacy provisions of the Freedom of Information and Protection of Privacy Act and the Municipal Freedom of Information and Protection of Privacy Act, as well as the Personal Health Information Protection Act, which applies to both public and private sector health information
custodians. A vital component of the Commissioner's mandate is to help
educate the public about access and privacy issues.
SOURCE: Office of the Information and Privacy Commissioner/Ontario
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