Annex A – End Users and Uses
Annex A describes and assesses the end users within the CBSA who will use the data in the EDW to perform data analytics (using analytic software) to support operational uses / administrative purposes..
The initial version of the PIA includes an Annex on the National Targeting Centre (NTC).
Data scientists working in the NTC’s Targeting Data Analyti.
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Annex B – Acquired Systems
Annex B describes the systems whose data has been ingested into the EDW.
Currently these include CBSA databases, and the intent is to acquire datasets from other government department and third-party databases – all of which are used to support the CBSA’s operations and enforce border-related legislation.
Following are summaries of the systems and .
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Pia Main Body
The Main Body of the PIA is designed to explain the Enterprise Data Warehouse (EDW), its existing data sets, and the data analytics vision of the CBSA; that it plans on using analytics to support operational outcomes, as well as internal reporting.
The Main Body is intended to be static; describing the types of information that are not expected to .
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What does CBSA do?
:
- Replies from external parties to questionnaires and requests for information
- reports and analyses by Canada Border Services Agency (CBSA) officers
- D-Memorandums
- documentation from Canadian and foreign businesses
- compliance reviews and investigations and Memoranda of Understanding
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What is a CBSA record?
May include:
- records related to the establishment or use of electronic systems used to administer or manage the program including :
- Canada Border Services Agency's (CBSA) Customs Commercial System ( )
- Customs Self-Assessment () and the Administration Monetary Penalty System (
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What is the Canada Border Services Agency's data analytics strategy?
In order to take advantage of the information under its stewardship, the Canada Border Services Agency (CBSA) has developed a strategy for data analytics, including:
- establishing a centralized governance structure
- to drive investments in three key areas:
- data governance; business intelligence; and advanced analytics