• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

Pssst How Much Money For Your Personal Data?

Bill Franks / 4 min read.
May 17, 2016
Datafloq AI Score
×

Datafloq AI Score: 59.67

Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality.

Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to contact us.

floq.to/jJgOh

Were all generating a lot of data about ourselves and how we live day to day. There are personal fitness devices, preferences and opinions expressed on social media, details on when weve come and gone from the house from our security systems, and more. It isnt just data that companies are collecting from us, but data that we are directly generating ourselves. What should we be willing to do with it and at what price?

Who Would Want The Data?

Lets take the example of the data from my personal fitness device and lets assume for our purposes that I have full control of my personal fitness data. I have downloaded it all into a spreadsheet, so in effect I do have full control even though the manufacturer probably has some claim to it as well through the terms of use agreement. What might I do with this data and who might want it?

There are a wide range of companies and organizations that would love to get access to my personal fitness data. Im not inclined to share it, at least not for free, but I have been thinking about under what terms Id share it and at what price. Consider a few potential scenarios where I could be asked to provide my fitness device data in order of my increasing discomfort:

  1. A university researcher asks to acquire my data over time for use in a medical study to help develop a better understanding of heart disease. My data will be kept fully confidential, anonymized, and only used for that specific study.
  2. A data aggregator that provides data to researchers asks to acquire my data to provide it to various researchers over time for studies where the data is relevant. I will not be alerted when the data is shared, but it will be anonymized each time.
  3. My doctor asks for my data so he can better understand my activity level and if it is where it needs to be. He will enter the data into my medical records.
  4. My insurance company asks for access to the data to better assess my risk level and adjust premiums accordingly.
  5. A marketing company asks for the data in order to generate customized offers for me. They promise not to share my details with any other companies, but simply deliver me offers based on the other companies criteria.
  6. A marketing company wants my data and will share it freely with whoever says it will help them generate personalized offers for me.

Privacy Versus Payments

The prior scenarios span a wide range of situations. Probably most readers found some to be pretty innocuous and others to be fairly invasive. I do too. In my case, Id be inclined to only share my data for free in the first instance. In the last instance, I dont see myself ever sharing the data. What about the ones in the middle? If I wont share for free, will I share at a price?

I am nervous about providing the insurance company data it could later use against me after it is analyzed. However, what if they offer me $1,000 off my premiums each year? Or, what if they eventually penalize me $1,000 for not providing it? At what point does the money involved outweigh my concerns about privacy and the risk I take of having the analytics work against me? At what point have things moved from an incentive to nearly forced coercion is by the insurer?


Interested in what the future will bring? Download our 2023 Technology Trends eBook for free.

Consent

This isnt an easy question to answer and it gets to the heart of a big issue. Once our data is out there, we cant be sure what will be found within it through analytics. I may be very healthy today, but what if my health declines and my personal fitness device data causes my life insurance renewal to be rejected? At some point, a price has to be put on the data and I hope that Ill be given the option to accept or reject that price.

Avoiding The Slippery Slope

One thing I do worry about is that more and more situations are arising where we are effectively being forced to provide ever more detailed and sensitive data about ourselves. Today, you can install a telematics device on your car and get a customized insurance rate. In the future, will we be refused a policy if we dont comply? Once all of our driving history is stored at an insurance company how else might it be used for or against us? Will I get automated tickets for data that says I was speeding? Will I be forced to turn the records over to the government for purposes of being assessed a road use tax?

We need to get to a point where there are standards for data usage and a mechanism for us all to share (or not share) our data for a given purpose at a given price. It might start with data that we directly generate and own, such as the examples I included here. But eventually, Id like to see it expand to all of the data that we generate.

Why shouldnt I be able to have my favorite retailer provide my purchase history to someone else if I approve it? I may have to cover the cost of that process for the retailer, but that should be my choice. The important part is the freedom to be in control of our data and to benefit financially from it directly if desired. As of today, it seems everyone else profits from our data but us.

Originally published by the International Institute for Analytics

Categories: Privacy
Tags: analytics, Big Data, payments, personal data, privacy

About Bill Franks

Bill Franks is an internationally recognized chief analytics officer who is a thought leader, speaker, consultant, and author focused on analytics and data science. Franks is also the author of Winning The Room, 97 Things About Ethics Everyone In Data Science Should Know, Taming The Big Data Tidal Wave, and The Analytics Revolution. His work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations. You can learn more at https://www.bill-franks.com.

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post

Related Articles

Why Does KYC Matter For Fintech Companies?

March 13, 2023 By Muhammad Akheel

5 Ways to Secure a Virtual Machine in Cloud Computing

March 7, 2023 By Alex Tray

How to Succeed with Digital Transformation

March 6, 2023 By Dr Mark van Rijmenam

Related Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics application applications Artificial Intelligence benefits BI Big Data business China Cloud Companies company costs crypto Data design development digital engineer environment experience future government Group health information learning machine learning mobile news public research security services share skills social social media software solutions strategy technology

Related Events

  • 6th Middle East Banking AI & Analytics Summit 2023 | Riyadh, Saudi Arabia - May 10, 2023
  • Data Science Salon NYC: AI & Machine Learning in Finance & Technology | The Theater Center - December 7, 2022
  • Big Data LDN 2023 | Olympia London - September 20, 2023
More events

Related Online Courses

  • Cloud Transformation
  • Real-World Engineering Management
  • Build automated speech systems with Azure Cognitive Services
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • How data and modern machine learning can help TSA keep us safe
  • Exploring the Legal Implications of Generative AI: Is it Fair Use?
  • How Data Analytics is Revolutionizing Talent Acquisition Leadership
  • Storing the World in a Sugar Cube: The DNA Data Revolution Unfolds
  • Optimizing Traditional Agricultural Practices with AI

Search

Tags

AI Amazon analysis analytics application applications Artificial Intelligence benefits BI Big Data business China Cloud Companies company costs crypto Data design development digital engineer environment experience future government Group health information learning machine learning mobile news public research security services share skills social social media software solutions strategy technology

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

settings

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!