1. Purpose Limitation
Only use or disclose personal data for the purposes defined.
Inform the individuals on the purposes for collection, use and disclosure of their personal data during collection.
Ensure that the consent has been obtained from the individuals before collecting, using or disclosure of the personal data.
4. Access and Correction
Upon request, provide the personal data of the individual and information on how the individual’s personal data has been used or disclosed in the past year. Correct an individual’s personal data upon request.
Ensure that personal data is accurate and complete during collection or when making a decision which will affect the individual.
Keep personal data in your possession secure from unauthorised access, modification, disclosure, use, copying, whether in hardcopy or electronic form.
7. Retention Limitation
Retain personal data only for business/legal purposes and securely destroy personal data when
What is ‘personal data’?
Personal data refers to data, whether true or not, about an individual who can be identified from that data; or from that data and other information to which the organisation has or is likely to have access.For more information, please visit <a href=”http://www.pdpc.gov.sg” target=”_blank”>Personal Data Protection Commission.</a>
Is there any type of data that is not covered under the PDPA?
All non-personal data (such as statistics, numbers and other information that cannot be linked back to an individual) and business contacts are not covered under PDPA.For more information, please visit <a href=”http://www.pdpc.gov.sg” target=”_blank”>Personal Data Protection Commission.</a>
Are the rights of a child covered under the PDPA?
For any child below 13 years of age, the rights to consent, access and correction can only be granted by their guardians.
Who are Singtel’s preferred partners?
They are companies which share a close business relationship with Singtel in
How to use Power Automate to extract data from Microsoft Dynamics 365 Finance and Operations via Data management package REST API
In Microsoft Dynamics 365 Finance and Operations there are two APIs strategies that support file-based integration scenarios:
- Data management framework’s package API
- Recurring integrations API
Both APIs support data import and data export scenarios, and both use batches. Batch data APIs are considered asynchronous integration patterns because when these APIs are called, data is imported or exported in batch mode. However, calls to these APIs are synchronous. For example, a call to the ExportToPackage API schedules a job to import only a specific data package. The scheduling job is quickly returned (synchronously), and the work is done later in a batch (asynchronously). Therefore, batch data APIs are categorized as asynchronous.
In this article, we will review how to leverage Power Automate and the Data Management package REST API to extract data from Dynamics 365 Finance. We will use the example of extracting “Customer groups” in Dynamics 365 Finance. However, any
The following script is from “The Data Brokers” which aired on March 9, 2014. Steve Kroft is the correspondent. Graham Messick and Maria Gavrilovic, producers.
Over the past six months or so, a huge amount of attention has been paid to government snooping, and the bulk collection and storage of vast amounts of raw data in the name of national security. What most of you don’t know, or are just beginning to realize, is that a much greater and more immediate threat to your privacy is coming from thousands of companies you’ve probably never heard of, in the name of commerce.
They’re called data brokers, and they are collecting, analyzing and packaging some of our most sensitive personal information and selling it as a commodity…to each other, to advertisers, even the government, often without our direct knowledge. Much of this is the kind of
Personal data is any information that relates to an identified or identifiable living individual. Different pieces of information, which collected together can lead to the identification of a particular person, also constitute personal data.
Personal data that has been de-identified, encrypted or pseudonymised but can be used to re-identify a person remains personal data and falls within the scope of the GDPR.
Personal data that has been rendered anonymous in such a way that the individual is not or no longer identifiable is no longer considered personal data. For data to be truly anonymised, the anonymisation must be irreversible.
The GDPR protects personal data regardless of the technology used for processing that data – it’s technology neutral and applies to both automated and manual processing, provided the data is organised in accordance with pre-defined criteria (for example alphabetical order). It also doesn’t matter how the data is stored
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An electronic copy of a Word document that you share with clients or colleagues often contains hidden data or personal information that is stored in the document itself or in the document properties or metadata.
Tip: If you’re just looking to not print comments, go to File > Print, click Print All Pages and uncheck Print Markup.
Types of hidden data and personal information
Word documents can contain the following types of hidden data and personal information:
Comments, revision marks from tracked changes, versions, and ink annotations If you’ve collaborated with other people to create your document, your document might contain items such as revision marks from tracked changes, comments, ink annotations, or versions. This information can enable other people to see the names of people who worked on your document, comments from reviewers, and changes that were made to your document, things