• 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

Is Wearable Tech Creating a Data Time Bomb?

Martin Doyle / 4 min read.
November 13, 2015
Datafloq AI Score
×

Datafloq AI Score: 62.67

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/CEwR9

The company that made your smartphone is no longer a hardware manufacturer. It has become adept at harvesting and managing data from it users, too. Every device has a series of sensors, as well as a user login and an account where data is stored.

For manufacturers of wearable technology, theres value in knowing how we spend our time: where we go, what we do, and how we like to exercise. Companies like Nike prove how this works.

The First Nike Device

Nike first attempted to harvest data from its customers in the late 1980s. It launched the Nike Monitor, a wearable device that cost $225 and used ultrasound burglar alarm technology to record data on the runners pace and distance. The sonar pedometer was a flop, but it paved the way for Nike+, a service that would follow 20 years later.

Today, Nike+ collects data from a range of devices, and has more than 28 million users worldwide. It is a software platform, accessed via a series of apps. Users voluntarily connect and upload their statistics to the cloud.

Now, consider the fact that the Nike FuelBand, a wearable tracker, is widely considered to be a flop. In fact, Nike has shelved its hardware to focus on data. To understand why Nike is more interested in Nike+ than the FuelBand (or the Monitor), we need to look closely at the relationship between data and consumer behaviour.

Integrating Data

In the mid-2000s, Apple was selling a sport kit to integrate Nike+ into its iPods, and launched a branded version of the iPod in 2006. Thanks to the integration of music data and pedometer readings, Nike was able to determine users favourite running songs from its app.

Six years ago, Nike had data on running trends across entire continents, and it understood the way seasonal weather affects users habits. Fitbit, Jawbone and other companies would later develop their own version of the fitness tracker, a market which is growing in value every month.

Fitness data is a goldmine for all kinds of industries, from diabetes research to health insurance and the provision of essential services. For companies like Nike, data from a fitness device helps them to develop new shoes for particular activities, market those shoes in the right continents, and focus marketing efforts in the right places at the right time. Apple wants to know which songs runners like to listen to, as they have an interest in selling mp3s. Lets not forget that Tim Cook, the CEO of Apple, is a Nike board member, and has been for almost a decade.

As you upload your latest run data to Nike+, you upload all kinds of metadata about your location and habits that will shape the products and services of tomorrow. How many companies have access to that data, and can you be sure that its accurate?


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

Consent

Trust and Data

While all of the data generated by wearables can drive positive innovation, the recent TalkTalk hack is a timely reminder of how easily things can go awry. TalkTalks customer database was hacked by a teenager; the data was allegedly incomplete, but unencrypted.

By wearing a fitness tracker, or a smartwatch, we are contributing to a huge data silo in the cloud, and that silo could be shared between different companies with our consent. Companies like Nike are starting to step back from hardware development and focus on harvesting and organising data, using services like Nike+ as a platform that other providers can tap into. When you buy a scale from Fitbit, or a smartwatch from LG, your statistics and usage patterns are shared with third parties that integrate with the service.

If we are to continue offering up our data using wearables and cloud technology, we need to trust the gatekeepers that access it, and there needs to be standards in place to remove risk to businesses and consumers. In TalkTalks case, stolen addresses and phone numbers have lead to identity theft and a public enquiry. Even if there is no hack, inaccurate data and duplicated accounts can cause poor reporting, and if the data was ever used for a life or death assessment of health, we need to know that it is accurate and up to date.

Your Responsibility For Data

The smartwatch has taken the baton from fitness wearables, from the Pebble in 2002 through to the Apple Watch in 2015, as well as devices made by Samsung, Motorola, Sony and others. According to KPMG, 74 per cent of us are happy to wear these devices. They can exchange data with sensors around us using Bluetooth and WiFi, and offer a convenient way to interact with our environment through Internet of Things (IoT) devices.

Already, health insurers are offering discounts to wearers of smartwatches, in return for access to their activity statistics. In the US, 68 per cent of consumers say theyd exchange their data for lower health insurance premiums. In Canada, the data from a womans Fitbit wearable tracker was used in court in place of a doctors examination.

But 41 per cent say they would be uneasy about sharing health data with their boss.

Our data is already being collected through our use of the web and our smartphones. Its not a question of whether our personal data will be used, but when, and whether the companies involved are taking the right steps to ensure data quality and effective management. As data quality experts, its our responsibility to ensure that data is cleansed, deduplicated and held according to the law. Personal data is no longer anonymous, and the Internet of Things will only muddy the waters as our data silos get bigger and bigger.

We all have a responsibility to take data seriously now, and put measures in place to ensure that data is used ethically. Companies like Nike have proven the value of data, and the need for trust from the users who opt in to its collection.

Categories: Internet Of Things
Tags: internet of things, quantified-self, smart watch, trust, wearables

About Martin Doyle

Armed with qualifications in mechanical engineering, business and finance, and experience of running engineering and CRM businesses, Martin founded a successful CRM (Customer Relationship Management) software house in 1992, supplying systems to large, medium and small sized companies. Developing a deep understanding of the value of data, he became concerned that many organisations were making decisions based on poor quality data. To fill this gap in the market, he sold the CRM company and started DQ Global in 2002 to provide data quality solutions, with a mission to detect, correct and prevent data defects which undermine business decisions. Since then, DQ Global has become a global market leader, delivering enterprise-wide data solutions utilising leading edge technology. Martin has gained a wealth of knowledge and experience and has established himself as a Data Quality Improvement Evangelist and an industry expert.

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

IoT protocol and commnication standards

March 22, 2023 By Patrick R

3 Ways the Internet of Things Has Already Changed Digital Advertising

March 15, 2023 By usama.mustafa.seo

Smartwatches with AI are Transforming How We Approach Them

March 14, 2023 By thomas.lee0002

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 app application Artificial Intelligence BI Big Data blockchain business China Cloud Companies company costs crypto customers Data development digital environment experience finance financial future Google+ government information machine learning market mobile Musk news public research security share social social media software startup strategy technology twitter

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

  • Velocity Data and Analytics Summit, UAE
  • Introduction and Programming with IoT Boards
  • Principles of Management
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

  • Microsoft Power BI -The Future of Healthcare’s Most Important Breakthrough
  • The Big Crunch of 2025: Is Your Data Safe from Quantum Computing?
  • From Data to Reality: Leveraging the Metaverse for Business Growth
  • How BlaBlaCar Built a Practical Data Mesh to Support Self-Service Analytics at Scale
  • How Blockchain Technology Can Enhance Fintech dApp Development

Search

Tags

AI Amazon analysis analytics app application Artificial Intelligence BI Big Data blockchain business China Cloud Companies company costs crypto customers Data development digital environment experience finance financial future Google+ government information machine learning market mobile Musk news public research security share social social media software startup strategy technology twitter

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!