My Digital FootPrint

The definition of digital footprint DATA in the following blog is used with the most all embracing and generic meaning of data which includes all raw data (collected, implicit, implied, passive or active collection); meta-data (data that defines the data, tags and attributes about the data); and information, insight, knowledge derived from analysis. I start with an assumption that all digital footprint DATA has a creator (seller) and consumer (buyer) and all DATA needs context.  The simple examples of content, you take a photo of me and share it or a transaction, I buy something; highlight a critical point, both the creator (seller) and consumer (buyer) have rights to the DATA.  There are two special cases, one where the creator and consumer is the same body and the other where there is an intermediary or third party (buy something using credit). Irrespective of the structure there may need to be an agreement/ barter/ trade about the DATA and rights. Some of these ag...

http://personaldataecosystem.org/startup/ Azigo. Wellesley Hills, Massachusetts Your data defines you. Own it. “We’re a happy band of developers, designers and entrepreneurs dedicated to the idea that the more control you have over your own data the more compelling your online experience will be, and the more privacy you will enjoy. Although the data wallet app is new and yet to launch, it stands on a technology platform that has evolved over several years by building solutions for PayPal, Google, Mydex, IBM, Equifax, Acxiom, BBB.org, and others.”   Private beta signup. Paul Trevithick, CEO. Blog post:   Why must a personal data ecosystem emerge? Buyosphere .   Montreal, QC, Canada “Buyosphere is a tool to help you take control of your shopping history: organize it, share it and track how you influence others. Our aim is to turn around consumer culture so that customers have more control over their own data. We have a pretty good inkling that th...

  Good thinking   http://blog.lockerproject.org/tenets-of-digital-trust Authenticity   is essentially the digital identifiers that are associated with someone and the confidence in whatever system generates those identifiers, that they represent the same person when repeated. Verifiability   is the degree of your ability to establish the authenticity of someone, either actually in person or via another trusted person or system.  It typically precipitates and helps build authenticity, and comes into question when something unexpected or important happens. Security   is the confidence in the integrity of the computing system both that you're using, and that the other person is using.  There's less trust when using public terminals or if suspicious dialogs happen on your own system, and equally so you wouldn't share something important to a friend who's using a possibly compromised system. Transparency   is all about user interface and messaging, i...

  PayPal warns consumers: get smart about digital footprint Consumers need to be smarter about keeping track of their digital footprint and be cautious about sharing personal information online to avoid cybercrime. A PayPal survey https://www.thepaypalblog.com/category/online-safety/  of 500 respondents found 60 per cent of users used the same password for multiple accounts, such as email, while 50 per cent did not know how many websites held their personal information. "Many Australian consumers are unaware of the size and impact of the digital footprint they leave when interacting online," PayPal Australia managing director, Frerk-Malte Feller, said in a statement. "Whilst the majority of Australians surveyed believe they know the steps to protect themselves online, many continue to share their personal and financial information irresponsibly." PayPal cited a report by the Australian Competition and Consumer Commission (ACCC) showing losses to cybercrime total...

Image from http://www.demographicsonline.com.au/ Why everything you know about demographics is wrong ! ARTICLE HIGHLIGHTS: Traditional demos aren't dying, but nobody looks at them in quite the same way. The pitch isn't about reaching X number of males at a certain age with an income of $50-100K, it's about leveraging a passionate community. Without the social lens, demographics -- even if you apply targeting technology -- are just amorphous groups. ----- Personally I find it interesting that with all the data we now have we flip between saying that you are part of this group (classic segmentation and demographics) and you are unique and I can target a sample size of 1.  We are still overlooking the new ways of segmenting: such as Trust and Influence

Image from UnderLogic Facebook revamped its photo services by adding “Tag Suggestions”, a facial recognition feature which scans faces in your photos and offers up suggestions of who they are from your list of friends. Even though it is being tested with a small, undisclosed group of users, Tag Suggestions will roll out soon. One practical result is that is  that it is more likely that Facebook friends will tag you in photos and made it easier for friends to tag a large number of photos of you at once. Some find the notion of facial recognition “creepy” as it conjures ideals of Minority Report, terrorist watch lists and generally “big brother.” But don’t worry as the EU privacy regulators have said that they will investigate the Facebook facial recognition move and U.S. privacy watchdog group  EPIC  said it was considering an FTC complaint. To address user concerns, the social network will also introduce a privacy setting that...

Mobile usage is highest among teenagers   From VentureBeat  by Tom Cheredar on 8 th June 11 The teenage demographic spends the least amount of time watching television, talking on the phone or using personal computers, according to a Nielsen report about how young people engage media. Mobile technology appears to be what they use most. Teens are using text messages to communicate with their social circle over twice as much as any other demographic, the report states. And teens also watch more mobile video content than any other demographic. The 12 to 17 age demographic viewed an average of 7 hours 13 minutes of mobile video per month in Q4 2010, while the general population viewed an average of only 4 hours 20 minutes. Not surprisingly, the report also states that mobile advertising has the greatest impact on teenagers. Implication is for which screen: There is no surprises here – however the youth are leading on using [interacting with] several screens a...

Interesting thought - Leadership is Dead – it’s all about influence.  The implication is that your strength is given by your followers who determine your influence. Chicken and Egg! Do you need leadership first – which creates followers which determines you level of influence. Does your influence create followers who let you lead! Are you lead by your followers and therefore are not a leader by a voice for the people! [vimeo http://www.vimeo.com/23050995 w=400&h=225]<p> Leadership is Dead: How Influence is Reviving It from GiANT Impact on Vimeo .</p>

infographic courtesy of Microsoft Tag. Smartphones are creating smarter shoppers – so how does that affect you? Check out our new infographic below to learn about the growth of mobile e-commerce, including how people are shopping on their phones, how many retailers have mobile sites (it's astonishingly small, considering over half of smartphone users would buy something from a mobile site), and which demographic makes purchases on their phones the most. This will be on the test...because by 2015, it's predicted that mobile purchases will total $119 billion globally!

            When trend is greater than the ROI of putting your pants on get out of bed Network effect equals one divide by the square root of zero Structure plus performance equals one divided by (serendipity + innovation) Poor business case times large outreach equals waste of everyone's time Measurement by accounting methods equals stupidity divided by loss of possible shareholder value Determination to blog and tweet equals (value of data divided) by (persistence times decay) Sound business case plus low outreach equals nice niche campaign A good days work equals productivity less tweeting less blogging less talking less thinking High exit value equals hype plus greed plus bubble Probability of getting it right first time equals network plus family wealth plus hyping trend entrepreneurship = motivation times number of customer squared  [e = mc 2 ] Propensity of accessing Facebook in bed equals your a...

Who creates your identity and what is a better one to identity you? [assuming you know for what!] ·         Your government – yes certificates ·         Your education – yes providing you with an approach, attitude, ability to adapt, reason and apply ·         Your parents – yes the physical and basis of a viewpoint ·         Your family and friends – yes the feedback and refinement ·         My influencers, filters and those I follow – those who change or challenge me ·         My news – that which I like and which confirms I am right ·         My bias – the way I am that I like to have reinforced ·       ...

One of the problems being faced by the advent of lots of data is trying to understand what are the new relationships and boundaries!  What does everyone know and what does someone know that no-one else does? What does someone have that is slow to get again? What data can I get or collect from you very quickly? Given that everyone has the same data on you, why can they not share this and make my life easy!  What makes you think that I will be more loyal to you because you know more? There are no easy boundaries, no clean firm and hard separation in segmentation and it likely that we need to rethink how we group people based on the creation of complex mashups of data that will create a movable pen rather than a fixed boundary that was based on easy but sloppy and overlapping ideals of demographics.

Online influence measurement is a nascent body of work and tends to focus on identifying "influencers"   Klout who has introduced a new feature they call "+K"   think Google “+1” or Facebook’s “like” button for influence.  At a random guess someone at Klout has realised that any measure of Influence is meaningless without context [what ever that it] but there is a need to establish a link between people, organizations, expertise and subjects. However the output (some determination of Influence) is only as good as the input and the algorithm, which itself needs to determine what is more valuable…. “who influences me or who/ how many do I influence?”   worth reading  From Any to Many: The Collective Influence    http://blog.peoplebrowsr.com/blog/?p=1054

Original article from CNN Money “ New cash transfer service rivals PayPal ” The vision of clearXchange is that you use your friends ID in some way to transfer money and hence take on PayPal as the dominant force in P2P payments. At the end of the article is a piece Your bank is profiling you! but it does not quite make the point that this allows access into transaction your were party to, but did not complete in the traditional way and who your friends are. More data about you. The question becomes that do we [the public] understand that for convenience of these services we are entering into the barter of data for service and that this data has more value that the ability to settle a debt with a friend.  Whilst I am sure that this settlement route prevents fraud and money laundering – it also tells “ someone ” about how you use cash, which by its very nature does not have that level of traceability.

LinkedIn has  launched  the LinkedIn Connection Timeline and provides a way to remember people you used to work with throughout the years and see where they are now – how some have changed. The visualization illustrates “the tip of an iceberg” of structured social data could provide when accessible. The obvious next step is for other social graphs that show the timeline of who I connected to, when and the levels of interaction (rather link XOBNI + Memolane) Is there a model?  Brand, loyalty, discussion, marketing, viral, value – probably!

Google shelved technology that would mesh mobile location with facial recognition because of fears it would be misused, Executive Chairman Eric Schmidt told attendees at the opening session at All Things Digital . May 2011.   An ‘evil dictator’ could use that against you, Schmidt said. “We built that technology and withheld it [because] people could use in a very bad way,” Schmidt said. But Google won’t keep the two technologies from meshing via apps on its Android or Chrome platforms. “Any platform app strategy has to allow for people to do that kind of stuff,”. Pressed by Walt Mossberg about allowing others to do what Google won’t, Schmidt commented: “ There are plenty of apps I don’t like that are still legal.”

idAngels is at https://idangels.net/index.php It essentially asks people to verify others as who they say they are. “What matters (to individuals) is not being able to "prove who I am" to an organization, but that  nobody else can.” If you want an invite – let me know.

So Google wallet . What is the obvious flaw to the system that moves payment away from an inert plastic object to a battery based consumer device?  What happens when the power source goes is probably a good one. Now there are lots of mobile phone chargers out there that work off a batteries, but who has the dominance at till/ point of purchase points- just ready for that impulse/  last minute purchase [assuming you have power to make one!] So who is going to put those chargers at the tills?