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
    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
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 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

Predictive analytics in marketing decisions
Your Guide To Current Trends And Challenges In Data Mining
R for psychological research
HCIR: Better Than Magic!
In this new era, as Saffo puts it, “…the central economic actor…

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

    AI role in medical industry
    The Role Of AI In Transforming Medical Manufacturing
    Artificial Intelligence Exclusive
    b2b sales
    Unseen Barriers: Identifying Bottlenecks In B2B Sales
    Business Rules Exclusive Infographic
    data intelligence in healthcare
    How Data Is Powering Real-Time Intelligence in Health Systems
    Big Data Exclusive
    intersection of data
    The Intersection of Data and Empathy in Modern Support Careers
    Big Data Exclusive

    Stay Connected

    1.2kFollowersLike
    33.7kFollowersFollow
    222FollowersPin

    You Might also Like

    Big Data - Bruno Aziza
    AnalyticsBest PracticesBig DataBusiness IntelligenceCloud ComputingCulture/LeadershipData MiningData VisualizationDecision ManagementExclusiveKnowledge ManagementSocial DataSoftware

    5 Steps To Winning with Analytics: Have a plan

    3 Min Read

    Why Search Engine Rank is Important

    4 Min Read

    Data Preparation: Know Your Records!

    4 Min Read

    Amazon EC2 Considered Harmful

    1 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 and chatbots
    Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
    Artificial Intelligence Chatbots Exclusive
    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?