My Digital FootPrint

Extract from “My Digital Footprint”, this is from the Chapter 5 As we have discussed so far, we all create digital footprints as we engage with digital platforms. Platforms like mobile devices will create a larger share of that footprint. Digital footprints will be cross-platform and will be ‘mashed up’ across platforms (for the lack of a better word). We have extended the idea of ‘digital footprints’ to MY DIGITAL FOOTPRINTS ’. The concept of MY DIGITAL FOOTPRINT is therefore complex, but this book suggests it is a system and process for the ‘collection, store, analysis and value created from digital data from mobile, web and TV’. Storage and analysis of digital footprints raises some important questions. Who analyses the digital footprint? Who stores it? What value is derived from the process and for whom? Humans have always left traces of their activity. The oldest human footprints found date back to about 3.6 million years ago at Laetoli, Tanzania [i] . The ancient hu

To reiterate the previous argument, the idea of MY DIGITAL FOOTPRINT extends the idea of raw data to the wider concept of capture, store, analysis and value created from data generated through digital engagement. This process is based on a structured approach incorporating inputs and outputs, and a feedback loop that governs the whole process. This feedback loop progressively enriches and refines the outputs (value) over time. The analysis phase is able to take raw data from various sources (which I refer to as the digital footprint) and generate value in the form of services, such as personalisation, reputation or discovery – the output from the analysis process I call ‘behavioural DNA’. The value derived from the process is MY DIGITAL FOOTPRINT. There are two central ideas which underpin this book (and this section): the feedback loop which enriches the digital footprint and the role of the mobile device in enriching the value from MY DIGITAL FOOTPRINT. Identity is not a digital foo

MY DIGITAL FOOTPRINT To reiterate the previous argument, the idea of MY DIGITAL FOOTPRINT extends the idea of raw data to the wider concept of capture, store, analysis and value created from data generated through digital engagement. This process is based on a structured approach incorporating inputs and outputs, and a feedback loop that governs the whole process. This feedback loop progressively enriches and refines the outputs (value) over time. The analysis phase is able to take raw data from various sources (which I refer to as the digital footprint) and generate value in the form of services, such as personalisation, reputation or discovery – the output from the analysis process I call ‘behavioural DNA’. The value derived from the process is MY DIGITAL FOOTPRINT . There are two central ideas which underpin this book (and this section): the feedback loop which enriches the digital footprint and the role of the mobile device in enriching the value from MY DIGITAL FOO

MY DIGITAL FOOTPRINT To reiterate the previous argument, the idea of MY DIGITAL FOOTPRINT extends the idea of raw data to the wider concept of capture, store, analysis and value created from data generated through digital engagement. This process is based on a structured approach incorporating inputs and outputs, and a feedback loop that governs the whole process. This feedback loop progressively enriches and refines the outputs (value) over time. The analysis phase is able to take raw data from various sources (which I refer to as the digital footprint) and generate value in the form of services, such as personalisation, reputation or discovery – the output from the analysis process I call ‘behavioural DNA’. The value derived from the process is MY DIGITAL FOOTPRINT . There are two central ideas which underpin this book (and this section): the feedback loop which enriches the digital footprint and the role of the mobile device in enriching the value from MY DIGITAL FOOTPR

MY DIGITAL FOOTPRINT To reiterate the previous argument, the idea of MY DIGITAL FOOTPRINT extends the idea of raw data to the wider concept of capture, store, analysis and value created from data generated through digital engagement. This process is based on a structured approach incorporating inputs and outputs, and a feedback loop that governs the whole process. This feedback loop progressively enriches and refines the outputs (value) over time. The analysis phase is able to take raw data from various sources (which I refer to as the digital footprint) and generate value in the form of services, such as personalisation, reputation or discovery – the output from the analysis process I call ‘behavioural DNA’. The value derived from the process is MY DIGITAL FOOTPRINT . There are two central ideas which underpin this book (and this section): the feedback loop which enriches the digital footprint and the role of the mobile device in enriching the value from MY DIGITAL FOOTPR

Scotland unveils privacy principles The Scottish Government has published new guidance on achieving privacy-friendly public services http://www.kable.co.uk/scotland-unveils-privacy-principles-24dec10 The five principles should encourage good practice and ensure personal data is always handled with respect, said the Scottish Government. They have been devised by an expert group - including the Assistant Information Commissioner for Scotland and Registrar General - and subject to full public consultation. They involve: -           proving identity or entitlement - people should not be asked to prove who they are unless it is necessary. Public bodies should ask for as little information as possible, identifying themselves and offering alternative ways to provide identity and/or entitlement for a service; -           governance and accountability - public service organisations should adopt privacy and security policies and procedures; -           risk management - organisations s

Extract from “My Digital Footprint”, this is from the Chapter 6  “A two sided business model"   Be under no illusion that this (creating a virtuous circle) is either simple or easy. Mark Zuckerberg, the founder of Facebook, said when commenting on Beacon: “We’ve made a lot of mistakes building this feature, but we’ve made even more with how we’ve handled them. We simply did a bad job with this release, and I apologise for it.” This was in response to the 70,000 users on Facebook responding to Facebook’s new Ad and Beacon features in December 2007. The Facebook Ad followed a well-trodden path of purchase goods, PIN codes, getting free extras online. Fun and not a big fuss, Beacon, however, was different. Beacon would look at what you do and as such has deep roots in behavioural marketing based on targeting (open loop); however, it took your data and told your friends what you had done, really without any due care or thought. If you looked at someone’s profile, it told y

Normal 0 false false false MicrosoftInternetExplorer4 Extract from “My Digital Footprint”, this is from the Chapter 6, "A two sided business model"   Having studied the left-hand side of Figure 28, let’s now consider the digital footprint (right-hand side) of that diagram. We study digital footprints from two perspectives: the feedback loop and mobile. We do this by studying the inputs and outputs of MY DIGITAL FOOTPRINT . We have introduced the concept of inputs and outputs for MY DIGITAL FOOTPRINT   and we recap them here: the inputs to MY DIGITAL FOOTPRINT   are the data elements and the outputs are the value derived from the process which is in turn enhanced by the feedback loop. It is worth noting that attention (input) and reputation (output) are often called the ‘currencies of the web’. Economic value is created from these two from the ability to trade and barter (output). Given that time is scarce, attention is scarce.   Inputs into MY DIGITAL FOO

Mobile Web 2.0 – value lies in getting data out from a device   We have discussed Mobile Web 2.0 and Web 2.0 extensively above. We have seen that Web 2.0 could be viewed as harnessing collective intelligence and, by extension, Mobile Web 2.0 could be viewed as harnessing collective intelligence from mobile devices. This is depicted in Figure 15. Figure 15 Moving focus to getting more data off a device than on to it The ability to get data out of or off a mobile device lends itself to the unique advantage a mobile device has. We explore this idea in greater detail in subsequent chapters. Considering this concept, that there is more value in getting data off a mobile, let’s consider that sensors (acceleration, temperature, noise level) can easily be placed in or attached to mobiles. Further, a user can send information from their device, by voice, IM (Instant Message) or text, to a centralised service point. Both sensors and people can provide vital data during a disaster-relief operatio

Mobile Web 2.0 – value lies in getting data out from a device   We have discussed Mobile Web 2.0 and Web 2.0 extensively above. We have seen that Web 2.0 could be viewed as harnessing collective intelligence and, by extension, Mobile Web 2.0 could be viewed as harnessing collective intelligence from mobile devices. This is depicted in Figure 15. Figure 15 Moving focus to getting more data off a device than on to it The ability to get data out of or off a mobile device lends itself to the unique advantage a mobile device has. We explore this idea in greater detail in subsequent chapters. Considering this concept, that there is more value in getting data off a mobile, let’s consider that sensors (acceleration, temperature, noise level) can easily be placed in or attached to mobiles. Further, a user can send information from their device, by voice, IM (Instant Message) or text, to a centralised service point. Both sensors and people can provide vital data during a disaster-relief operatio

Mobile Web 2.0 – value lies in getting data out from a device   We have discussed Mobile Web 2.0 and Web 2.0 extensively above. We have seen that Web 2.0 could be viewed as harnessing collective intelligence and, by extension, Mobile Web 2.0 could be viewed as harnessing collective intelligence from mobile devices. This is depicted in Figure 15. Figure 15 Moving focus to getting more data off a device than on to it The ability to get data out of or off a mobile device lends itself to the unique advantage a mobile device has. We explore this idea in greater detail in subsequent chapters. Considering this concept, that there is more value in getting data off a mobile, let’s consider that sensors (acceleration, temperature, noise level) can easily be placed in or attached to mobiles. Further, a user can send information from their device, by voice, IM (Instant Message) or text, to a centralised service point. Both sensors and people can provide vital data during a disaster-relief operatio

Mobile Web 2.0 – value lies in getting data out from a device   We have discussed Mobile Web 2.0 and Web 2.0 extensively above. We have seen that Web 2.0 could be viewed as harnessing collective intelligence and, by extension, Mobile Web 2.0 could be viewed as harnessing collective intelligence from mobile devices. This is depicted in Figure 15. Figure 15 Moving focus to getting more data off a device than on to it The ability to get data out of or off a mobile device lends itself to the unique advantage a mobile device has. We explore this idea in greater detail in subsequent chapters. Considering this concept, that there is more value in getting data off a mobile, let’s consider that sensors (acceleration, temperature, noise level) can easily be placed in or attached to mobiles. Further, a user can send information from their device, by voice, IM (Instant Message) or text, to a centralised service point. Both sensors and people can provide vital data during a disaster-relief operatio

 Who is harnessing your collective intelligence?   Web 2.0 taught us the concept of ‘harnessing collective intelligence’, which will be discussed in greater detail in this section. Harnessing collective intelligence is not a problem in itself. The dark side, however, arises if a business entices its audience (customers, clients, delegates, patients, friends) to give up their digital data, collect their digital footprint without their agreement, charge people to view their own data, or sell OUR data off with the sole expectation of making money though the one-sided route of exploitation. My [Tony Fish] mobile number is widely available on the web, I never get unwanted calls; my home number is ex-directory and only listed on private applications, once a week I receive an unwanted sales call, who sold my data? On May 1 2009, Spock [vii]   was acquired by Intelius (a background check company). Spock is based on a robot which automatically creates tags for any person it finds. It trawls th

Like Neil Armstrong, whilst walking on the moon, and Nelson Mandela walking free from Robben Island , we all leave footprints. Footprints are more than identity. Footprints are about where we have been, for how long, how often and the inter-relationships, they are memories and moments. Therefore, digital footprints are not about your identity, your passport, bank account or social security number. Digital footprints come from your mobile, web and TV interactions and comprise the digital data and also the Metadata [i]   (data about data) of who we are, the true value and why the ownership of this data class is the battleground to be won and lost.   However, the original web-based digital footprint and its digital data belonged to the individual at some point. But the individual is currently not empowered to hold or manage this digital footprint. Mobile adds a unique dimension to the digital footprint since mobile provides new content, Metadata and the social context for the digital fo

Figure 4 provides a visual representation of the links between digital identity and MY DIGITAL FOOTPRINT . The purpose of this representation is to separate out the key topics and themes that will be explored in the remainder of this book and to highlight that some of the more controversial aspects of identity are dropped, as are the technical implementation arguments. This separation, it is hoped, will allow the reader to focus on the underlying important strategic issues that need to be unpacked and discussed in a framework where ideologies can be put to one side and the value and concepts presented.   Figure 4 Linkages between identity and MY DIGITAL FOOTPRINT These linkages form the basis for the framework presented in this book as per Figure 5. The core themes relate to data, dependencies, value and business models. Within the context of data, this book explores the collection, store and analysis of user data to create value. Dependences are threaded into the fabric of many aspect

This is a book about footprints – digital footprints to be precise. For the most part, unlike footprints in the sand, digital footprints are largely invisible and are about where we have been, for how long, how often and the inter-relationships. Digital footprints are a capture of memories and moments and are built from your interactions with mobile, web and TV. Digital footprints are not about your identity, your passport or bank account. While the idea of digital footprints has existed for some time, this book extends the current body of knowledge on this subject in two specific ways, by considering the digital footprint as part of a real-time feedback loop and the impact of mobile devices on digital footprints. In an open loop system the digital footprint is part of behavioural or targeted marketing based on collecting and analysing data, but the closed loop model, as described within, is an entirely different animal and raises a provocative question: Is your digital footprint y

Dear Friend of Ground Truth Do you manage a mobile application for your business? Ground Truth has recently announced partnerships with both Verizon and Sprint to provide mobile application owners with free real-time application analytics services (powered by Localytics) coupled with aggregate demographic information about your application's users. This gives you deep knowledge about not only how your application is being used but also who is using your application. The combination will help you to improve your application and maximize your revenues from advertising and subscriptions. This is an email to me selling their webinar, Understanding and Profiting from Consumer Usage of Mobile Applications, will cover key trends in quantifying and qualifying audiences and case studies of industry best practices. Always good to know you are being tracked ….

Who is watch you and what they know – series of articles worth exploring What they know about our kids – very good visual of what they are recording

Who is watch you and what they know – series of articles worth exploring What they know about our kids – very good visual of what they are recording

Who Am I – cost vs value should be read in conjunction with Who Am I - described by the physical, history, behaviour and social me [diagram] All my cost is in verified (information, content and data), all my value is in unverified (information, content and data)

Who Am I – cost vs value should be read in conjunction with Who Am I - described by the physical, history, behaviour and social me [diagram] All my cost is in verified (information, content and data), all my value is in unverified (information, content and data)

A full Digital Footprint is made up from the combination of the following three components: *content you* publish about yourself, others and products & services. You are in control of this content right up until the point you chose to publish it on the Web. Once your view is published you are dependent on how others will use that content – so be careful what you say as once out, it cannot be taken back. What you publish is believed to be a good representation of who and what you are and therefore companies look to analysis this data and market to you based on what you have said. *content that others* publish about you and your content. You are not in control of this content and you have very little rights over what is said and you should thing that it will be impossible to remove it. This content is helpful in the determination of trust, relationship, reputation and influence. *data you leave* from interactions with digital products and services. Data is colle

Based on our compulsion to share every aspect of our digital lives online Memolane , founded in 2010 and winner of Startup Weekend Copenhagen provides a visual time line of your data.  The service allows you to aggregate and organize your profiles and information across the web. The services currently supported include; Facebook, Picasa, Flickr, Twitter, Last.fm, Foursquare, Tripit, Spotify, and RSS feeds for any blog. Memo lane purports to capture your entire online life in one timeline making it easy for you to travel back in time and re-live great memories.  However, what they capture is what you are annoying the world with – it is your outbound firehose.  It is not what others are saying about your content or what data is saying about you.  It is a content creation by you storage.  As a services there will be a demand – but it is not capturing your entire online life.   [vimeo http://www.vimeo.com/16474788 w=400&h=225]

I might know everything about you based on your digital footprint, but sometimes we are human.... Source: http://blog.kissmetrics.com/color-psychology/?wide=1

http://www.digitalsurgeons.com/facebook-vs-twitter-infographic/?source=iframe

    The story today has to be from Business Insider " Now Google Is Going To Have To Pay $8 Billion To Buy Twitter" Read the article:   I would agree that: Follow has more value to a user in a mobile world than search Follow could add value to linear TV from the entertainment in real-time comments However, there is probably very little wealth creation from owning a platform such as follow (unlike search) as the benefit is for all (in the market) and the cost of operating is for one.  Follow works if everyone can create and consume content, irrespective of technology or content. The prime issue I see with Follow, through my narrow glasses, and specifically Twitter, is the hash tag.  There needs to be a universal hash tag generation tool or recommendation of the right hash tag.  Now that Twitter has $200m in cash and a £3.8bn valuation I would rush out and buy a service such as Shazam .   The logic would be that the service would listen to what TV, radio, conference you are

    The story today has to be from Business Insider " Now Google Is Going To Have To Pay $8 Billion To Buy Twitter" Read the article:   I would agree that: Follow has more value to a user in a mobile world than search Follow could add value to linear TV from the entertainment in real-time comments However, there is probably very little wealth creation from owning a platform such as follow (unlike search) as the benefit is for all (in the market) and the cost of operating is for one.  Follow works if everyone can create and consume content, irrespective of technology or content. The prime issue I see with Follow, through my narrow glasses, and specifically Twitter, is the hash tag.  There needs to be a universal hash tag generation tool or recommendation of the right hash tag.  Now that Twitter has $200m in cash and a £3.8bn valuation I would rush out and buy a service such as Shazam .   The logic would be that the service would listen to what TV, radio, conference you are