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Privacy Notice
Protecting the security and privacy of your personal data is important to Siemens Pte Ltd 60 MacPherson
RoadSingapore (“
Siemens
”). Therefore, Siemens operates Siemens SWYFT (“
App
”) in compliance with applicable
laws on data protection and data security.
Categories of personal data processed, purpose of the processing and legal basis
When visiting and using the App, Siemens processes the following personal data about you:
Contact Information
:
Name
, including first or last name,
Email Address
, including but not limited to a hashed email address,
Phone Number
, including but not limited to a hashed phone number,
Physical Address
such as a home address, physical address, or mailing address
Other User Contact Information
that can be used to contact the user outside the app.
Location Data:
Coarse Location
, meaning information which describes the location of a user or device with the lower
resolution than a latitude and longitude with three or more decimal places, such as approximate
location services.
Contacts
such as a list of contacts in the user’s phone, address book, or social graph.
User Content
:
Emails or Text Messages
, including subject line, sender, recipients, and contents of the email or
message
Photos or Videos
of the user,
Audio Data
such as the user’s voice or sound recordings,
Costumer Support Data
, meaning data generated by the user during a customer support request,
Other user-generated content such as
service ratings done by the user.
Browsing History
, meaning information about the content the user has viewed that is not part of the app
such as websites.
Identifiers
:
o
User ID
such as screen name, handle, account ID, assigned user ID, customer number,
probabilistic identifier, or other user- or account-level ID that can be used to identify a particular
user or account
o
Device ID
such as the device’s advertising identifier, or other device-level ID.
Diagnostics
:
Crash Data
such as crash logs,
Performance Data
such as launch time, hang rate, or energy use,
We process your personal data for the following purposes:
Analytics
, meaning using data to evaluate user behavior, including to understand the effectiveness of
existing product features, plan new features, or measure audience size or characteristics,
App Functionality
Operation of the App
, such as to authenticate the user, enable features,
Maintenance and Support
, such as ensure server up-time, minimize app crashes, improve scalability
and performance, or perform customer support,
Security
, such as prevent fraud, implement security measures,