Accountability of CDDBMs in Mexico
| Pages | 132-156 |
| Author | Vivian Newman-Pont,Daniel Ospina-Celis,Juan Carlos Upegui |
132 Data Feast: Enterprises and Personal Data in Latin America
ACCOUNTABILITY OF CDDBMs IN MEXICO
Milan Trnka Osorio
In this document, we review the privacy policies of four companies with
data-driven business models (CDDBM) operating in Mexico, following
the standards set in the report Accountability of Google and Other Businesses
in Colombia: Data Protection in the Digital Age (Newman and Ángel 2019).
1. Selection of CDDBMs
From the “large Internet companies” category, which groups the ve
companies commonly referred to with the acronym GAFAM (Google,
Amazon, Facebook, Apple, and Microso), we chose Amazon due to
its presence in the Mexican market. e arrival of Amazon’s services to
Mexico was announced in July 2015 through its website (www.amazon.
com.mx). It is considered the most ambitious launch of the company in
20 years (CNN Español2015). Amazon’s largest distribution centre for
Latin America is located in Mexico (Milenio2019).
As an intermediate company, we selected Snap Inc. and its product
Snapchat. is platform oers social media services growing in popularity
in Mexico, as shown by the ranking of the applications information and
market company App Annie as per the top downloaded applications from
Mexico’s App Store and Google Play.167
In the start-up category, that is, companies dened for their early
age, scalability, and exponential growth, we chose the company Payclip
S. deR . L. deC. V. and its product Clip, which provides the user with
the tools to make payments with their credit or debit cards from their
mobile phone or tablet. At the time, the launch of this application was a
167. See https://www.appannie.com/en
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Working Paper 10
signicant breakthrough. It is considered one of the most successful start-
ups in the country because of its practicality, ease of use, and because it
sparked investors’ interest, which led to a massive inux of capital from
Silicon Valley to Mexico (Küfner2018).
Finally, as an established company, we looked for the biggest compa-
ny in the telecommunications sector. In the case of Mexico, this company
is Radio Móvil Dipsa S.A. deC.V., the owner of the leading mobile carrier
of the country and its product, Telcel.
Just like in the Report, there will be four analysis categories for each
CDDBM to determine how they operate: 1) data sources, 2) processing,
3) purpose of data processing, and 4) relationship with GAFAM. en,
we will study how appropriate the Mexican legal regime is and evaluate
the authority responsible for data protection.
2. Characterization of the CDDBMs’ Operations
Based on a review of the privacy policies oered by the four companies in-
cluded in the sample, below we analyze their operations based on the fol-
lowing four analysis categories: 1) data sources, 2) processing, 3) purpose
of data processing, and 4) relationship with GAFAM. Annex1 contains
the systematization of this analysis.
2.1. Data Source
Both Amazon and Snapchat divide their data sources into three catego-
ries: 1) data provided by the user/customer, 2) information generated
automatically as a result of the provision of the service, and collected
through web tracking and crowdsourcing techniques, and 3) information
collected from third parties. However, while Snapchat includes dierent
sections related to its privacy policy, it is more understandable and more
comfortable to read (Our Privacy Principles; Your Privacy, Explained;
Privacy by Product; How We Use Your Information; and a Transparency
Report. Furthermore, it provides a link to contact the area in charge of
privacy and a dedicated cookies policy). For its part, Amazon only pres-
ents an example per type of information it collects from each source. Spe-
cically, the ve paragraphs explaining the information it collects use the
phrase “for example” or similar ve times (a clear breach of guideline22
for privacy notices).168
168. Guideline 22: “The privacy notice shall specify the personal data that the
controller will process to achieve the purposes for which data is obtained,
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