My Digital FootPrint

A  multi-country study  commissioned by Intel Corporation on “Mobile Etiquette indicates “the majority of adults and teens around the world are sharing information about themselves online and feel better connected to family and friends because of it.” However, the survey also revealed a perception of “oversharing,” with at least six out of 10 adults and teens saying they believe other people divulge too much information about themselves online, with Japan being the only exception. The survey examined the current state of mobile etiquette and evaluated how adults and teens in eight countries share and consume information online, as well as how digital sharing impacts culture and relationships. The research was conducted in the United States in March and a follow-up study was conducted in Australia, Brazil, China (adults only), France, India, Indonesia and Japan from June to August.

Simple idea but here comes the complexity… closeness and type of the relationship between the individuals ( lovers, inmates, friends, carer, on public transport etc ) ability of individuals to use / accept technology need for technology in the communication reason for being close/ apart context ( hospital bed, wedding, birth, funeral, meeting, chatting, gossiping, random, public) capturing the moment (picture/ video/ audio)   The easy part is that once past a certain distance, digital become the means of communicating and therefore easy to collect digital footprint, however it is with closeness that we get all the signals and human stuff. One to think about for PII

privacy_stats_v2_072512 (1).pdf Download this file Placecast conducted a survey using Harris Interactive titled "Alert Shopper III." The survey was focused around data privacy and consumer views on companies dealing with personal consumer data. The results showed that U.S adults are more than twice as likely to trust Amazon with their personal data as they are Facebook. Grocery stores were rated as the most trustworthy in terms of consumer data usage when compared with Facebook, Amazon, Google, and cell phone providers. Here is the infographic   The survey showed that 66 percent of U.S. adults who are aware of use of data by  Amazon find Amazon’s use of personal data somewhat to very acceptable versus 33 percent saying the same for Facebook. More than three-quarters (81%) of U.S. adults who are aware of the use of this data said they were comfortable with a grocery store using their purchase information to deliver coupons tailored to them. Comparatively, just

What kind of data is your cell phone company collecting? Malte Spitz wasn’t too worried when he asked his operator in Germany to share information stored about him. Multiple unanswered requests and a lawsuit later, Spitz received 35,830 lines of code -- a detailed, nearly minute-by-minute account of half a year of his life. A great TED video - I also enjoyed the comments however I am remain concerned that at there are two camps on all of this material.... like, engage, find value, embrace, change, acceptance and the other side privacy, hate, wrong, misplaced, worried, FUD. 

http://smartgridcc.org/wp-content/uploads/2012/08/SGCC-Myths-vs.-Facts-Fact-Sheet.pdf The Smart Grid Consumer Collaborative (SGCC) recently published a fact sheet and released a web video to refute privacy and data security critiques of smart meter technology. SGCC is a non-profit that seeks “to advance the adoption of a reliable, efficient, and secure smart grid.” Its membership includes electric utility and technology companies, universities, government agencies, and environmental advocacy groups. Privacy and data security concerns have led some consumers to oppose the installation of smart meters, and even inspired lawsuits in states such as Maine and Illinois. SGCC’s recently published materials suggest that many of these concerns are based on “myths” and “urban legend.”

This post is a straight link to Wired September article on the reputation economy - worth reading in full.   http://www.wired.co.uk/magazine/archive/2012/09/features/welcome-to-the-new-reputation-economy?page=all -

This post is a straight link to Wired September article on the reputation economy - worth reading in full.    https://www.wired.co.uk/article/welcome-to-the-new-reputation-economy

This post is a straight link to Wired September article on the reputation economy - worth reading in full.   http://www.wired.co.uk/magazine/archive/2012/09/features/welcome-to-the-new-reputation-economy?page=all -

A  study  (Sept 12) by the Pew Research Center found that among Americans adults who use smartphone apps, half had decided not to install applications on their mobile phones because they demanded too much personal information. Nearly a third uninstalled an application after learning that it was collecting personal information “they didn’t wish to share.” And one in five turned off location tracking “because they were concerned that other individuals or companies could access that information.” A customer’s whereabouts can be extremely valuable to marketers trying to sell their wares, or government authorities trying to keep tabs on citizens’ movements. The study seems to suggest a deepening awareness of digital privacy. And it contradicts a common perception that the generation of young Americans who have grown up in the Internet age blithely share their personal details. Mobile phone users between ages 18 and 29 were equally likely to decline an application because of privacy concer

Image: http://fineartamerica.com/featured/lyrical-abstraction-dawn-siler.html Sharing PII data is something that I have been thinking about for some time and reading this Blog by Nick Crown Personal Data - Is It Truly An Asset?  - I decided it was time to put it out there. Don't worry I am not about to trash personal data ecosystem and value from digital footprints, I want to explore thinking about why we share the actual data ..... when we could do the same but at a different level of abstraction ( hence the image above…) the base line is more data = more targeting ( explored this here recently ) which leads to more efficient advertising, more branding messaging but appears no overall change in real marketing spending ( data ) assuming you know what to look for! More data about me would include, say: my driving speed, time, routes, frequency and style. ( view point ) heath, diet, food intake, exercise, pedometer, pleasure, life style ( data ) specific medical condi

Image: http://fineartamerica.com/featured/lyrical-abstraction-dawn-siler.html Sharing PII data is something that I have been thinking about for some time and reading this Blog by Nick Crown Personal Data - Is It Truly An Asset?  - I decided it was time to put it out there. Don't worry I am not about to trash personal data ecosystem and value from digital footprints, I want to explore thinking about why we share the actual data ..... when we could do the same but at a different level of abstraction ( hence the image above…) the base line is more data = more targeting ( explored this here recently ) which leads to more efficient advertising, more branding messaging but appears no overall change in real marketing spending ( data ) assuming you know what to look for! More data about me would include, say: my driving speed, time, routes, frequency and style. ( view point ) heath, diet, food intake, exercise, pedometer, pleasure, life style ( data ) specific medical condi

Image: http://fineartamerica.com/featured/lyrical-abstraction-dawn-siler.html Sharing PII data is something that I have been thinking about for some time and reading this Blog by Nick Crown Personal Data - Is It Truly An Asset?  - I decided it was time to put it out there. Don't worry I am not about to trash personal data ecosystem and value from digital footprints, I want to explore thinking about why we share the actual data ..... when we could do the same but at a different level of abstraction ( hence the image above…) the base line is more data = more targeting ( explored this here recently ) which leads to more efficient advertising, more branding messaging but appears no overall change in real marketing spending ( data ) assuming you know what to look for! More data about me would include, say: my driving speed, time, routes, frequency and style. ( view point ) heath, diet, food intake, exercise, pedometer, pleasure, life style ( data ) specific medical condi

Image: http://fineartamerica.com/featured/lyrical-abstraction-dawn-siler.html Sharing PII data is something that I have been thinking about for some time and reading this Blog by Nick Crown Personal Data - Is It Truly An Asset?  - I decided it was time to put it out there. Don't worry I am not about to trash personal data ecosystem and value from digital footprints, I want to explore thinking about why we share the actual data ..... when we could do the same but at a different level of abstraction ( hence the image above…) the base line is more data = more targeting ( explored this here recently ) which leads to more efficient advertising, more branding messaging but appears no overall change in real marketing spending ( data ) assuming you know what to look for! More data about me would include, say: my driving speed, time, routes, frequency and style. ( view point ) heath, diet, food intake, exercise, pedometer, pleasure, life style ( data ) specific medical condi

Image: http://fineartamerica.com/featured/lyrical-abstraction-dawn-siler.html Sharing PII data is something that I have been thinking about for some time and reading this Blog by Nick Crown Personal Data - Is It Truly An Asset?  - I decided it was time to put it out there. Don't worry I am not about to trash personal data ecosystem and value from digital footprints, I want to explore thinking about why we share the actual data ..... when we could do the same but at a different level of abstraction ( hence the image above…) the base line is more data = more targeting ( explored this here recently ) which leads to more efficient advertising, more branding messaging but appears no overall change in real marketing spending ( data ) assuming you know what to look for! More data about me would include, say: my driving speed, time, routes, frequency and style. ( view point ) heath, diet, food intake, exercise, pedometer, pleasure, life style ( data ) specific medical condi

Source Martin Pasquier : How to value big data ? Methodological issues and a glance at the future Good blog in summary…. Data needs Method = valuable Data needs Context = information/ knowledge/ insights Data needs safeguards = not sure if it is the data or the access to it Half of the value of data is down to the use/ abuse from the supply side The new half of the value from data comes from demand side (VRM) – you and me publishing intentions.

Source Martin Pasquier : How to value big data ? Methodological issues and a glance at the future Good blog in summary…. Data needs Method = valuable Data needs Context = information/ knowledge/ insights Data needs safeguards = not sure if it is the data or the access to it Half of the value of data is down to the use/ abuse from the supply side The new half of the value from data comes from demand side (VRM) – you and me publishing intentions.

Source Martin Pasquier : How to value big data ? Methodological issues and a glance at the future Good blog in summary…. Data needs Method = valuable Data needs Context = information/ knowledge/ insights Data needs safeguards = not sure if it is the data or the access to it Half of the value of data is down to the use/ abuse from the supply side The new half of the value from data comes from demand side (VRM) – you and me publishing intentions.

Source Martin Pasquier : How to value big data ? Methodological issues and a glance at the future Good blog in summary…. Data needs Method = valuable Data needs Context = information/ knowledge/ insights Data needs safeguards = not sure if it is the data or the access to it Half of the value of data is down to the use/ abuse from the supply side The new half of the value from data comes from demand side (VRM) – you and me publishing intentions.

Source Martin Pasquier : How to value big data ? Methodological issues and a glance at the future Good blog in summary…. Data needs Method = valuable Data needs Context = information/ knowledge/ insights Data needs safeguards = not sure if it is the data or the access to it Half of the value of data is down to the use/ abuse from the supply side The new half of the value from data comes from demand side (VRM) – you and me publishing intentions.