My Digital FootPrint

Research carried out among online gamers by  The Future Laboratory  for Confused.com found that more than half would divulge personal information in return for a little something. 35% of people in the UK have already used a self-quantifying app or service to monitor their fitness levels, mental health, and sleep patterns. To download and read the full report see  here . Dubbed PIPsters (personal information players), this group of tech-savvy consumers are more than aware that their personal information is in great demand, and they are happy for it to be used as long as they get something in return. One person I have backed on Kickstarter is  Zannier who sold his  data on Kickstarter

Here’s a presentation  from James Morgan , Telefonica UK’s head of information strategy for business intelligence. Telefonica new ‘vision’: “To be The Most Trusted Provider of Brilliant Digital Experiences”   My problem is that this is all about control aka the Apple model and not an open model – implicit is that they know better than you about what you want!

Source: https://www.unboundid.com/blog/2013/05/29/unlocking-the-value-of-personal-data/ this is a Katie O’Brien post on UnBounded ID and she brings up the “shift from controlling data collection to focusing on data usage.” The reason for this blog is that I am an advocate of users being able to know where there data is.  I cannot subscribe to user controlled data as it is just not practicable and I cannot subscribe to personal lockers as this becomes the weakest point. However, I do subscribe to an idea that a user should know where their data is, be able to correct it if it is wrong and be able to say that some data is a primary source and other places are copies.  Control does not exist and rights may only be granted in some instances. I don’t want to store my data, I just want the link to where the data is. Obviously this becomes more difficult if an agency is intercepting my data on route and storing it off line. #NAS #PRISON The issue being that if I do have some cont

Wikibon has  published  its Big Data Vendor Revenue and Market Forecast for 2012 thru 2017, giving insights as to how much revenue big data vendors will derive in the coming years. They have also published an infographic,

According to this study , your Likes of a brand on Facebook are worth about $174.17 to that brand. The reality is that Facebook fans spend more money on the brands they like—$116 a year more than nonfans—even if their income was equal. In addition, those who liked brands were 18% more satisfied with the brand and 11% more likely to continue buying the brand.   We know what we like. Great insight! Syncapse , a social intelligence company, conducted a study with more than 2,000 Facebook users who liked a brand and considered a Facebook user's product spending, loyalty, recommendations, brand affinity and more to come up with the number. Source: http://gizmodo.com/5995468/your-facebook-like-is-worth-17417

I have written about the fact that Social Networks offer insights into how we humans interact with each other many times as they have unparalleled access to real time data. New  analysis from Wolfram Alpha , has examined usage habits and found that it as we expected, but have the data to prove it. Here’s a summary of some of the more notable findings, some of which are depressingly stereotypical, according to Wolfram Alpha designer Stephen Wolfram. The median number of Facebook friends is 342, a number that   varies based on how old you are : Teenagers tend to have more friends than adults do. When you’re younger, most of your friends are your own age , but the range of ages broadens as you get older. Teenage boys tend to have more friends than teenage girls, but that difference disappears as they get older. The older you get, the more likely you are to be married; women get married earlier than men; and, by 30, about 70 percent of people are married. (“It’s as if all those h

The Value of our Digital Identity report recently published by   Boston Consulting Group , based on a new empirical consumer research, offers a new perspective. The most important takeaway from this research is that it quantifies the current and potential economic value of digital identity: "The report shows that the value created through digital identity can indeed be massive: €1 trillion in Europe by 2020, or roughly 8 percent of the combined GDP of the EU-27. For European businesses and governments, the use of personal data will deliver an annual benefit of €330 billion by 2020—bringing growth to an otherwise stagnant economy. For individuals, the value will be more than twice as large: €670 billion. Much of that will be due to online services such as Facebook and Google that can be offered free of charge—thanks to business models that monetize personal data—yet are highly valued by consumers"

The   World Economic Forum  has published its 3rd report on personal data: Rethinking Personal Data:   Unlocking the Value of Personal Data: From Collection to Usage . The other reports are on the WED site Rethinking Personal Data   The report says we must solve simplicity and elegance of design for usability so people can see the data generated by and about them. The last part of the executive summary calls for "stakeholders to more effectively understand the dynamics of how the personal data ecosystem operates. A better coordinated way to share learning, shorten feedback loops and improve evidence-based policy-making must be established." The second chapter covers the context of data use, where everything surrounding data use affects people's privacy expectations and the choices of institutions using their data. It's great seeing this level of nuance brought to a general business audience. This report is notable for highlighting the role of the   persona

What can we do to make data more human in 2013? Executives need to understand and experience data ownership.   We generate data but we cannot visualise it.  Why not provide tools to visualize and explore data, and show the worth and utility of the information that you can derive.  Could make for an interesting board meeting. Executive lead transparent, open and balanced conversations about data and ethics.   I start with asking questions that help form models for thinking about data and how leadership teams come to their own opinions on data, based on personal experience and therefore have different perspectives about data.  Differences and gaps in thinking leads to friction about how to treat their own personal data, how to treat customer data and gaps between company branding messaging and expectations.  These gaps can lead to frictions which mean teams cannot move forward with a common approach on how to treat customer data. Here are previous blog that bring these models together. H

Google’s Zero Moment of Truth (ZMOT), Why consumers buying behaviour has changed forever. Up until now, leading brands have been the ones who consistently win at two ‘moments of truth’ for their consumers: The 1st moment is the consumer experience when they’re about to buy something; standing in front of a shelf with hand on the product The 2nd moment is what happens when they use it for the first time; opened the package and using the product Google argue that the ability to create and share your own content about brands has given birth to a new moment, the Zero Moment of Truth (ZMOT). Consumers can now discover a great deal about you before making a purchase; without going anywhere near your marketing or sales. Their research found that people now look at over 10 different sources of online information before making a purchase.  This means that as marketers we need to understand how to win at ZMOT and to explain this, work through your own model Step 1: what do I want to

Source : http://www.backgroundcheck.org

Source : http://www.backgroundcheck.org

Source : http://www.backgroundcheck.org

Source : http://musicdatascience.com/emi-million-interview-dataset/ Using this data set : http://musicdatascience.com/music-data-science-hackathon/

Source : http://musicdatascience.com/emi-million-interview-dataset/ Using this data set : http://musicdatascience.com/music-data-science-hackathon/

Source : http://musicdatascience.com/emi-million-interview-dataset/ Using this data set : http://musicdatascience.com/music-data-science-hackathon/

Source : http://musicdatascience.com/emi-million-interview-dataset/ Using this data set : http://musicdatascience.com/music-data-science-hackathon/