My Digital FootPrint

Source: Murray Lohoar who blogs at BringYourOwnInformation and works here Just a good way of discovering empowerment of the user as a source of data and terms.  Worth following and reading http://blog.byoinfo.com/2012/10/power-to-people-eula-wars.html

A dynamic online timeline charting the evolution of the personal data landscape over the next five years as we see it. This will be a living resource updated by Ctrl-Shift on a regular basis.  http://www.ctrl-shift.co.uk/timeline The timeline maps out the events and predictions we foresee from now until 2017 in the personal data landscape. To do this we have looked through the lenses of: social and cultural changes; corporate commercial activity; entrepreneurial activity; technology; and legislation, regulation, policies, protocols and standards.

Source: http://www.lumapartners.com/the-strategic-buyer-lumascape/ Understanding the chart It groups the buyers into four quadrants: media, marketing, technology, and commerce/network–companies that “derive large network effects from the delivery of media, communications or commerce,” Mr. Kawaja said. Buyers on the left side are generally firms that sell services to businesses, called “enterprise,” which those on the right are generally provide services to consumers. Companies closest to the center have a higher propensity for making acquisitions. The colors represent a sliding scale of the companies’ ability to make “sizable” acquisitions based on their cash available and stock trading multiples, though there are some exceptions. The scale ranges from green (more capable) to red (less capable), with yellow companies falling somewhere in between. Mr. Kawaja said that just those companies within the circles are sitting on $449 billion in cash or “near-cash,” meaning securities. Th

Source: http://www.lumapartners.com/the-strategic-buyer-lumascape/ Understanding the chart It groups the buyers into four quadrants: media, marketing, technology, and commerce/network–companies that “derive large network effects from the delivery of media, communications or commerce,” Mr. Kawaja said. Buyers on the left side are generally firms that sell services to businesses, called “enterprise,” which those on the right are generally provide services to consumers. Companies closest to the center have a higher propensity for making acquisitions. The colors represent a sliding scale of the companies’ ability to make “sizable” acquisitions based on their cash available and stock trading multiples, though there are some exceptions. The scale ranges from green (more capable) to red (less capable), with yellow companies falling somewhere in between. Mr. Kawaja said that just those companies within the circles are sitting on $449 billion in cash or “near-cash,” meaning securities. Th

Source: http://www.lumapartners.com/the-strategic-buyer-lumascape/ Understanding the chart It groups the buyers into four quadrants: media, marketing, technology, and commerce/network–companies that “derive large network effects from the delivery of media, communications or commerce,” Mr. Kawaja said. Buyers on the left side are generally firms that sell services to businesses, called “enterprise,” which those on the right are generally provide services to consumers. Companies closest to the center have a higher propensity for making acquisitions. The colors represent a sliding scale of the companies’ ability to make “sizable” acquisitions based on their cash available and stock trading multiples, though there are some exceptions. The scale ranges from green (more capable) to red (less capable), with yellow companies falling somewhere in between. Mr. Kawaja said that just those companies within the circles are sitting on $449 billion in cash or “near-cash,” meaning securities. Th

Source: http://www.lumapartners.com/the-strategic-buyer-lumascape/ Understanding the chart It groups the buyers into four quadrants: media, marketing, technology, and commerce/network–companies that “derive large network effects from the delivery of media, communications or commerce,” Mr. Kawaja said. Buyers on the left side are generally firms that sell services to businesses, called “enterprise,” which those on the right are generally provide services to consumers. Companies closest to the center have a higher propensity for making acquisitions. The colors represent a sliding scale of the companies’ ability to make “sizable” acquisitions based on their cash available and stock trading multiples, though there are some exceptions. The scale ranges from green (more capable) to red (less capable), with yellow companies falling somewhere in between. Mr. Kawaja said that just those companies within the circles are sitting on $449 billion in cash or “near-cash,” meaning securities. Th

Google and Personal Data Protection Bart Van der Sloot   University of Amsterdam - Institute for Information Law (IViR) Frederik J. Zuiderveen Borgesius   Institute for Information Law IViR (University of Amsterdam) September 14, 2012  Source/ download http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2146968 Google and the Law, Empirical Approaches to Legal Aspects of Knowledge-Economy Business Models - Series: Information Technology and Law Series, Vol. 22, A. Lopez-Tarruella, ed., T.M.C. Asser Press/Springer, 2012   Abstract:          This chapter discusses the interplay between the European personal data protection regime and two specific Google services, Interest Based Advertising and Google Street View. The chapter assesses first the applicability of the Data Protection Directive, then jurisdictional issues, the principles relating to data quality, whether there is a legitimate purpose for data processing, and lastly the transparency principle in connection with

Source of thought : http://allthingsd.com/20120907/more-data-beats-better-algorithms-or-does-it/?utm_medium=referral&utm_source=pulsenews# Image + more detail : http://www.michaelnielsen.org/ddi/how-to-answer-a-question-a-simple-system/ Premise : inferior algorithms with more data beat better, sophisticated algorithms with less data. Concern : knowing everything (all data) means you miss the connection, big picture, sentiment, understanding, wisdom Normal people : find a balance between collecting, storing, and then filling the gaps but provide insight from what we have

Source : ClickFox Consumer Data Audit survey on consumer’s preferences around data management, and which organizations are handling this new market opportunity with the best of care. The survey suggests that consumers are willing to give up personal information to trusted brands if it will help them improve their shopping experience or get a better deal. The majority of customers (over 80 percent) expect their companies to know their previous retail experience, service and purchase history. Those who are in financial services, followed by healthcare and government, earned the most trust in dealing with consumer’s personal data. The retail industry receives poor marks for consumer trust due to wary data use among retailers. And it turns out Google, Amazon, and Apple were revealed as the most trustworthy organizations overall.  Hum.... is there a correlation between levels of regulation and trust? The data indicates that consumers’ acceptance on location-based marketing and

I am on the hunt and hoping someone can help me. I continually read that consumers think that they own their own data.   I have no issue with the concept of rights of access, controls and rights of use, but ownership is a totally different matter. I was reading this from CTRL-SHIFT about midata that got me going. Yes you can own your photos and documents you created but that is not the same as owning your bank records or your telephone log.  It is a different issue about what can be collected, what that data can be used for and how long it is held for, but where did this idea that consumers can own their own data come from, who started it and why? 

I am on the hunt and hoping someone can help me. I continually read that consumers think that they own their own data.   I have no issue with the concept of rights of access, controls and rights of use, but ownership is a totally different matter. I was reading this from CTRL-SHIFT about midata that got me going. Yes you can own your photos and documents you created but that is not the same as owning your bank records or your telephone log.  It is a different issue about what can be collected, what that data can be used for and how long it is held for, but where did this idea that consumers can own their own data come from, who started it and why? 

I am on the hunt and hoping someone can help me. I continually read that consumers think that they own their own data.   I have no issue with the concept of rights of access, controls and rights of use, but ownership is a totally different matter. I was reading this from CTRL-SHIFT about midata that got me going. Yes you can own your photos and documents you created but that is not the same as owning your bank records or your telephone log.  It is a different issue about what can be collected, what that data can be used for and how long it is held for, but where did this idea that consumers can own their own data come from, who started it and why? 

I am on the hunt and hoping someone can help me. I continually read that consumers think that they own their own data.   I have no issue with the concept of rights of access, controls and rights of use, but ownership is a totally different matter. I was reading this from CTRL-SHIFT about midata that got me going. Yes you can own your photos and documents you created but that is not the same as owning your bank records or your telephone log.  It is a different issue about what can be collected, what that data can be used for and how long it is held for, but where did this idea that consumers can own their own data come from, who started it and why? 

Source:  www.baynote.com This Infographic by Baynote, explains why your web browsing and online interactions have become much more personalized based on their paper “The Human Need for Personalization: Psychology, Technology and Science” which defines the psychology, technology and science that underlie a shopper’s desire for a personalized ecommerce experience. How do you feel having a highly customized experience, knowing it’s your data that’s making the difference?

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.”

McAfee, the Intel-owned security firm, wants to try. McAfee released a new app that lets users add an extra layer of protection to their Facebook photos. The app asks users to explicitly list who should be able to see their photos. To everyone else, the photos will appear fuzzy regardless of who likes, shares, comments or is tagged in them. And nobody — not even those who have access to the photos — can grab, download or print them. Any attempt to capture an image of a user’s screen will result in blank space. And because the app sends the photos to McAfee’s servers, not Facebook’s, it is able to turn off the save and downloading features.

showcasing the really cool insights you can find with easy-to-get data.  Alas I am now firmly in the Drugs and Alcohol range !!!! Source: http://nicolasrapp.com/?p=1171

I have read a load of articles on collecting Data from Cars and here is my summary. 

I have read a load of articles on collecting Data from Cars and here is my summary. 

I have read a load of articles on collecting Data from Cars and here is my summary.