project:cumulizer

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project:cumulizer [2013/08/15 22:58] lolegproject:cumulizer [2018/11/24 11:44] – [Links] alicesmith
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 This is a Make OpenData.ch [[event:2013-03|2013 finance hackdays]] project with a focus on analyzing personal consumer data. We have started by aggregating shopping receipts available from the [[http://www.migros.ch/cumulus/de/|Cumulus]] incentive points program run by Migros, one of the largest supermarkets chains in the country and would be interested in expanding the concept to others. This is a Make OpenData.ch [[event:2013-03|2013 finance hackdays]] project with a focus on analyzing personal consumer data. We have started by aggregating shopping receipts available from the [[http://www.migros.ch/cumulus/de/|Cumulus]] incentive points program run by Migros, one of the largest supermarkets chains in the country and would be interested in expanding the concept to others.
  
-{{:project:finance:cumulus-sketch-1.jpg?200|}} {{:project:cumulizer_heatmap.jpg?275|Cumulizer Heatmap}}+{{:project:cumulizer.png?400|}} 
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 +This project is currently no longer live. We are looking for support to bring this to the general public.
  
 We believe that the data we help to collect while making purchases can be relevant and useful to us individual shoppers, and we want to try starting popular action to aggregate this (anonymously) with others in our community. Although it is unlikely that we will get broad access to this highly valuable data, we want to at least learn some of the same things that shops are already learning about us: what, when and where we make our purchases, what are the patterns, how do we compare. To get around commercial closed data policy, we can liberate, i.e. open our personal data by uploading it to a shared repository. We believe that the data we help to collect while making purchases can be relevant and useful to us individual shoppers, and we want to try starting popular action to aggregate this (anonymously) with others in our community. Although it is unlikely that we will get broad access to this highly valuable data, we want to at least learn some of the same things that shops are already learning about us: what, when and where we make our purchases, what are the patterns, how do we compare. To get around commercial closed data policy, we can liberate, i.e. open our personal data by uploading it to a shared repository.
  
-The project is live at **[[http://www.cumulizer.eu|cumulizer.eu]]**+{{:project:finance:cumulus-sketch-1.jpg?200|}} {{:project:cumulizer_heatmap.jpg?275|Cumulizer Heatmap}}
  
 ===== Data ===== ===== Data =====
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 (rough translation: they link to the government standard form which you can fill out to request an export of all your personal data) (rough translation: they link to the government standard form which you can fill out to request an export of all your personal data)
  
-In the [[http://www.migros.ch/cumulus/de/ueber-cumulus/geschaeftsbedingungen.html|Terms and Conditions]] and [[http://www.migros.ch/de/rechtliches-impressum/rechtliches-impressum.html|Impressum]] there is no mention of restrictions on the use of the personal Cumulus data. At the moment we assume, and will contact their management to check, that they will not restrict us from using the receipt data from our personal accounts any way we can, including sharing it publicly.+In the [[http://www.migros.ch/cumulus/de/ueber-cumulus/geschaeftsbedingungen.html|Terms and Conditions]] and [[http://www.migros.ch/de/rechtliches-impressum/rechtliches-impressum.html|Impressum]] there is no mention of restrictions on the use of the personal Cumulus data. At the moment we assume, and will [[http://www.fixithere.net/sky-customer-service/|contact]] their management to check, that they will not restrict us from using the receipt data from our personal accounts any way we can, including sharing it publicly.
  
 We will obviously not try to collect any other person's data without their full cooperation, attempt to circumvent any of their security, or put any automated scraping/spidering in place. This requires clear statements and terms of use on the site. We are hoping to find a way to cooperate with the Cumulus program, and ensure that we do not abuse the allowances they have made that make this project possible. We will obviously not try to collect any other person's data without their full cooperation, attempt to circumvent any of their security, or put any automated scraping/spidering in place. This requires clear statements and terms of use on the site. We are hoping to find a way to cooperate with the Cumulus program, and ensure that we do not abuse the allowances they have made that make this project possible.
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   * [[https://www.eff.org/deeplinks/2012/09/deep-dive-facebook-and-datalogix-whats-actually-getting-shared-and-how-you-can-opt|A Deep Dive into Facebook and Datalogix]] (Electronic Frontier Foundation) explores the marketing bonanza that is consumer data collection, and warns of the privacy risks   * [[https://www.eff.org/deeplinks/2012/09/deep-dive-facebook-and-datalogix-whats-actually-getting-shared-and-how-you-can-opt|A Deep Dive into Facebook and Datalogix]] (Electronic Frontier Foundation) explores the marketing bonanza that is consumer data collection, and warns of the privacy risks
   * [[http://www.theatlantic.com/technology/archive/2013/03/what-does-the-consumer-data-industry-know-about-you/273829/|What does the consumer data industry know about you]] (The Atlantic) explores a few more perspectives on the subject   * [[http://www.theatlantic.com/technology/archive/2013/03/what-does-the-consumer-data-industry-know-about-you/273829/|What does the consumer data industry know about you]] (The Atlantic) explores a few more perspectives on the subject
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 {{tag>status:demo needs:expert finance}} {{tag>status:demo needs:expert finance}}
  • project/cumulizer.txt
  • Last modified: 2019/02/03 21:16
  • by loleg