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
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Reality Mining – Too Much Personalization?
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 > Data Mining > Reality Mining – Too Much Personalization?
Data Mining

Reality Mining – Too Much Personalization?

PaulBarsch1
PaulBarsch1
5 Min Read
SHARE

talking on cellWhat does your mobile phone usage say about you? Probably a lot more than you think.

Mobile phone operators are using advanced analytics to “mine” call detail records hoping to use the information to improve service quality and create more personalized and relevant offers. But that’s old hat compared to what’s coming next.

Land line and mobile operators—by nature—capture a significant amount of transactional data (call detail records, web visits/transactions, and GPS data just to name a few). To extract value from this data, companies employ data mining techniques.

Data mining is the process of discovering hidden patterns from large data sets. Using sophisticated algorithms, companies in all industries are “mining” mammoth data warehouses to identify useful information (relationships, rules, and sequences) that can help them customize and personalize offers, and optimize business processes.

More Read

Using Data Science on TripAdvisor Reviews (Part 1)
Would IBM buying Sun impact the decision management market? Nope.
The Smarter Enterprise and the Age of Analytics (via…
Big Data in the Sports Industry
Business Rules Algorithms research from Forrester

However, according to a Technology Review article titled “Reality Mining,” MIT professor Sandy Pentland thinks mobile operators are poised to take data mining to a whole new level.

Dubbed, “reality mining,” Dr. Pentland thinks mobile operators have an opportunity to record more than just …


talking on cellWhat does your mobile phone usage say about you? Probably a lot more than you think.

Mobile phone operators are using advanced analytics to “mine” call detail records hoping to use the information to improve service quality and create more personalized and relevant offers. But that’s old hat compared to what’s coming next.

Land line and mobile operators—by nature—capture a significant amount of transactional data (call detail records, web visits/transactions, and GPS data just to name a few). To extract value from this data, companies employ data mining techniques.

Data mining is the process of discovering hidden patterns from large data sets. Using sophisticated algorithms, companies in all industries are “mining” mammoth data warehouses to identify useful information (relationships, rules, and sequences) that can help them customize and personalize offers, and optimize business processes.

However, according to a Technology Review article titled “Reality Mining,” MIT professor Sandy Pentland thinks mobile operators are poised to take data mining to a whole new level.

Dubbed, “reality mining,” Dr. Pentland thinks mobile operators have an opportunity to record more than just where you’ve been or who you have recently called.

The article notes that Pentland “would like to see phones collect even more information about their users, recording everything from their physical activity to their conversational cadences.”

In the near future, Dr. Pentland suggests the following can be “learned” from studying data captured from your cell phone:

  • Your cadence may reflect your state of mind that day – are you happy, sad, depressed?
  • Through capture of location based data, it will be possible to “predict” places you are more likely to visit
  • Your calling patterns can help map your social network
  • Your physical activity (or lack thereof) could be monitored by health professionals via your mobile device. Pedometer anyone?

The article continues, “Within the next few years, Pentland predicts, reality mining will become more common, thanks in part to the proliferation and increasing sophistication of cell phones. Many handheld devices now have the processing power of low-end desktop computers, and they can also collect more varied data, thanks to devices such as GPS chips that track location. And researchers such as Pentland are getting better at making sense of all that information.”

Of course, there are strong privacy considerations with the advent of these services. How does one opt in/or opt out? What information is shared and how much is shared and with whom?

Arguably, on the marketing side, more detailed information (including location-based data), collected and analyzed by your wireless carrier could help them tailor and personalize specific offers—raising marketing effectiveness. And mapping your social network could help you share information more easily (think: favorite five plans—on steroids).

But there is a fine line between “benefit” and “big brother.”

  • What do you think of the concept of “reality mining”?
  • Would you be willing to opt-in to potential benefits of reality mining?
  • Where would you “draw the line”?


    Link to original post

    Share This Article
    Facebook Pinterest LinkedIn
    Share

    Follow us on Facebook

    Latest News

    data security issues with annotation outsourcing
    Data Annotation Outsourcing and Risk Mitigation Strategies
    Big Data Exclusive Security
    NO-CODE
    Breaking down SPARC Emulation Technology: Zero Code Re-write
    Exclusive News Software
    online business using analytics
    Why Some Businesses Seem to Win Online Without Ever Feeling Like They Are Trying
    Exclusive News
    edi compliance with AI
    AI Is Transforming EDI Compliance Services
    Exclusive News

    Stay Connected

    1.2KFollowersLike
    33.7KFollowersFollow
    222FollowersPin

    You Might also Like

    Image
    AnalyticsData MiningHadoopPredictive Analytics

    5 Steps to Setting your Big Data Goals

    5 Min Read

    Modeling : R Code,Books and Documents

    2 Min Read

    “These houses are part of a revolution in building design:…

    1 Min Read
    Fintech collecting web data
    AnalyticsData MiningMarket Research

    How Fintech is Using Web Data For Financial Intelligence

    8 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 in ecommerce
    Artificial Intelligence for eCommerce: A Closer Look
    Artificial Intelligence
    AI and chatbots
    Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
    Artificial Intelligence Chatbots Exclusive

    Quick Link

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

    Sign in to your account

    Username or Email Address
    Password

    Lost your password?