We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Why Big Data Privacy Will Be Self-Regulating
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Why Big Data Privacy Will Be Self-Regulating
Best PracticesBig DataCulture/LeadershipData ManagementPolicy and GovernancePrivacyTransparency

Why Big Data Privacy Will Be Self-Regulating

Datafloq
Datafloq
8 Min Read
Why Big Data Privacy Will Be Self-Regulating
Illustration generated with Qwen Image.
SHARE

Technological progress has always led to heated debates about the threats a new technology would pose for society and humanity.

Technological progress has always led to heated debates about the threats a new technology would pose for society and humanity. When in the 15th century printing press was invented, monks viewed easily available books that were unapproved by the church as a threat to their control over learning. The respected Swiss scientist, Conrad Gessner, feared that the information overload caused by the printing press could be confusing and harmful to people. Similar concerns were made when newspapers became more available in the 18th century. The French statesman Malesherbes feared that newspapers would isolate readers. When in the 19th century education came more generally available, it was thought that it was a risk to mental health. The radio would distract children, while the invention of television was thought to hurt radio, conversation, reading, and the patterns of family living.

Since the rise of the internet we have heard more of such fears: Email would hurt our IQ, Twitter could harm our moral values and Facebook could even raise cancer risks. Google would make us stupid and upon entering the era of big data the fear is that we will lose our privacy.

Although big data technology makes it absolutely possible to follow our every move at any time and anywhere, it does not mean that organisations can do whatever they want with that data. We know that generation X and the baby boomers are very careful about their privacy. Generation Y is also very conscious about privacy and “just because they want to be in public, does not mean they want to be public” as mentioned by Dana Boyd in her talk at the TechKnowledge conference.

More Read

E-Commerce Industry
6 Ways Big Data Analytics Is Changing the E-Commerce Industry
Data Visualization’s Final Frontier
Big Data Is Already A Thing Of The Past: Welcome To Big Data AI
SEO Consultants Made Big Data a Core Strategy Component
8 Ways Successful Online Business Leverage Big Data

So, how can we protect our privacy? Well, there are three different parties we can look at in taking care of that: Governments, Organisations and Consumers.

Let’s first look at the governments. In most countries, the current privacy laws still date from the 70s and 80s, when the World Wide Web did not yet exist and we were still using landlines to call each other. These out-dated privacy laws contain many loopholes and it is about time that they are being updated. Governments around the world are therefore updating their privacy bills. Which is a good thing, but unfortunately developing new laws take a lot of time and more often than not they do not achieve what they were created for. A great example is the cookie-law of The Netherlands, which completely missed its goal and had to be changed within 1 year. It may be clear that governments simply cannot keep up with the speed technology changes. As such, laws are already out-dated the moment they are passed. Governments are not able to keep up with all things that are happening and we also cannot, and should not, stop the technological progress to match the speed of law making.

So, we cannot rely on governments but fortunately there are two other options that could help regulate big data privacy. Organisations cannot survive without consumers, but consumers can survive without organisations (citizens are becoming increasingly creative and independent of organisations as is shown by the website instructables.com). Therefore, organisations will have to stick to certain guidelines that promise to ensure the privacy of consumers or consumers will simply walk away.

In an earlier post I suggested four ethical principles that organisations should adopt in order to protect consumers’ privacy:

  1. Radical transparency – inform customers about the data you collect and what you do with it. Provide a paid-service if the consumer does not want to share their data in the free version;
  2. Simplicity by design – keep it simple and understandable for consumers;
  3. Secure your data – define the data you really need to do business and keep it as secure as possible;
  4. Privacy by design – make privacy part of the DNA of the organisation.

These ethical guidelines will help organisation deal with all the data that they collect and define policies that ensure the privacy of consumers is sufficiently protected.

In case an organisation decides to not play by the rules and to give a damn about the ethical guidelines it can easily result in a bankruptcy of that company when things go wrong. The power of consumers has increased so much with social media and all communities around the world, that a protest is organised easily. Within days a large group of consumers can become connected and decide to boycott any organisation that does not live by the rules. Switching-costs are so low nowadays that it is very simple for consumers to switch to a company that better protects their privacy. In case there is no alternative available, there will always an entrepreneur who will fill that gap.

The problem remains for those organisations that do not stick to the ethical guidelines and are not uncovered that they do so. These organisations can continue to break the rules and invade our privacy. It could result in major catastrophes that could cause a lot of damage to the lives of consumers. However, the moment a catastrophe has occurred and any organisation does not respond correctly, it is likely that the organisation will be out of business rather soon. So it is up to the consumers to control organisations and demand that organisations stick to the ethical guidelines.

New technologies always come by trial and error and unfortunately we will probably face a few catastrophes in the future. The challenge is to limit these to as little possible of course. Consumers and organisations should ensure this and governments should assist with regulations when needed. In the end however we, the citizens, decide ourselves how our society looks like and which organisations are allowed to take part in it. The first organisation that will go out of business due to a privacy issue will set the example for other organisations. It will have a self-regulating effect on other companies. So, if an organisation wants to survive in the future, it will have to adopt the ethical big data guidelines.

Copyright Big Data Startups 2013. You may share using our article tools. Please don’t cut articles from BigData-Startups.com and redistribute by email or post to the web.

(image: Big Data privacy / shutterstock) 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
How an Online MBA in Marketing Connects AI and Data Analytics
Analytics Artificial Intelligence Big Data Exclusive
Flat editorial illustration: The article connects commercial drone capture with integrated software workflows that organize and r
Drone Technology as a Business Investment: Calculating ROI, Costs, and Long-Term Value
Business Intelligence Marketing Software
Flat editorial illustration: The article connects weekly technician productivity and related shop metrics to timely scheduling an
Workforce Analytics for Auto Repair Shops: Reading Technician Productivity Weekly
Business Intelligence Exclusive
Flat editorial illustration: A business-editorial depiction of two account-growth routes: data-guided targeted advertising and cr
Targeted Ads and Cross-Promotion: Using Audience Segments and Platform Statistics to Grow
Exclusive Social Data

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

A Proven Template For Financing Data-Driven Startups
Big DataExclusiveFintech

A Proven Template For Financing Data-Driven Startups

6 Min Read
The Softer Side of Risk Management Means Fewer Analytics
Big DataCulture/LeadershipDecision ManagementExclusiveRisk Management

The Softer Side of Risk Management Means Fewer Analytics

4 Min Read
Should You Divorce Your Customer? CRM Analytics Can Tell You If It’s Time to Split
AnalyticsBest PracticesCRM

Should You Divorce Your Customer? CRM Analytics Can Tell You If It’s Time to Split

4 Min Read
data-driven seo for product pages
Analytics

6 Tips for Using Data Analytics for Product Page SEO

11 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?