Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Big Data Era: How Should Consumers Deal With the New Definition of Privacy?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > The Big Data Era: How Should Consumers Deal With the New Definition of Privacy?
Big Data

The Big Data Era: How Should Consumers Deal With the New Definition of Privacy?

Datafloq
Datafloq
6 Min Read
Image
SHARE
ImageOrganisations like Google, Facebook and Amazon are building extensive profiles of you about who you are, what you have bought/liked/read and your preferences. This is nothing new, but has been around for years already. In exchange for ‘free’ services such as Gmail or Facebook, these organisations use the profiles to generate revenue.
ImageOrganisations like Google, Facebook and Amazon are building extensive profiles of you about who you are, what you have bought/liked/read and your preferences. This is nothing new, but has been around for years already. In exchange for ‘free’ services such as Gmail or Facebook, these organisations use the profiles to generate revenue. Advertising follows you around the web, even if you are no longer interested in a product. Also the activities of the NSA, supposedly as part of the war against terrorism, collect massive amounts of data and consequently the NSA knows all about you. Whether you like it or not. In the 21st century, privacy has taken a new meaning and consumers will have to learn how to deal with this.

Researchers at MIT and the Université Catholique de Louvain, in Belgium have shown what privacy means today. They were able to identify, with 95% accuracy, citizens with just using four points of reference from their cell phone. They analysed anonymous data from 1,5 million European cell phone users over a span of 15 months. They only required four location points from antennas to identify 95% of all users. In other words, four smartphone location measurements during the course of a year are sufficient to identify you, from absolute anonymous data.

So, times are changing and for consumers it is important to be aware of the changed situation. More and more organisations will start using their data in the coming years, and they should if they want to remain competitive. So consumers should get used to the new situation. Of course, this does not mean that organisations can completely forget about the privacy of their customers. On the contrary. Customers should not become the victim of the Big Data era and organisations should stick to the four ethical guidelines to protect their customers.

Organisations have to be transparent, so that consumers know what will be done with the data, today and in the future. They should keep their communication simple and understandable, so that also the digital immigrants understand what’s being done with the data. All data should be well secured, so that hackers do not stand a chance. Finally, privacy should be part of the DNA, so that all employees understand the importance of it. The development of a quality mark, to ensure that organisations adhere to these guidelines, could be imaginable / desirable.

That having said, it will help customers if they also know how to act in this new situation. Customers should know what data they share with which a company and not absentmindedly accept policy statements or terms & conditions that result to sharing a lot of personal data. They should be cautious with what they share, for example on social networks. Everything on social networks is public information and accessible by organisations. So sharing a picture of your credit card on Facebook is probably not a good idea.

Also downloading new apps on your smartphone could result in privacy breaches. Many of us simply download an App and without paying any attention, accept all requests to access a vast array of data on your smart phone ranging from location data to personal information. Dealing with this more consciously is a good starting point for consumers.

In addition, organisations that start developing a Big Data Proof of Concept, and involve their customers in the process, should be stimulated. As mentioned earlier, there was a lot of outrage in The Netherlands when ING Bank announced to use customer data to provide personalized advertising from 3rd parties on their own platform. Due to the outcry by consumers, associations and even the politics, ING decided to postpone the Proof of Concept. This is a pity because especially these pilots, which are performed with a small group of customers who explicitly approved the usage of their data, will provide a lot of insights in how organisations, customers and (local) governments will need to deal with the privacy aspect of Big Data. Together we have moved into this direction and together we will need to learn and understand how to deal with the new paradigm.

An extensive public debate in different countries would therefore help protect the privacy of consumers. But in order to do that, pilots such as initially planned by ING, are required. In a different pilot for example, the Data Privacy Lab at Harvard University managed to identify 40 per cent of individuals who had taken part (supposedly anonymously) in a large-scale DNA study, the Personal Genome Project. Thanks to such controlled test we now better understand the implications of so-called anonymous data, which could contribute in the privacy debate. Therefore, let’s stimulate Big Data Proof of Concepts and together understand how to deal with privacy in the Big Data era.

TAGGED:privacy
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive
warehousing in the age of big data
Top Challenges Of Product Warehousing In The Age Of Big Data
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Mining Social Media

1 Min Read

Project Gaydar: A Reminder That Privacy Isn’t Binary

3 Min Read

The (still) coming privacy boom

5 Min Read

Revenue Science: Companies already know who they want to target

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?