Difference between revisions of "Professional Practices and Data Analysis Division"

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== Data Analysis ==
 
== Data Analysis ==
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The Data Analysis (DA) section assists in the identification, acquisition, preparation, and analysis of data from CRA's data stores. The DA section generates data analytics reports and assists in identifying new data requirements in support of internal audits, program evaluations, and risk assessments.
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Greetings!
  
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The data analytics produced by the DA section helps to study key risk and fraud indicators, to identify errors or misuse, to improve business efficiencies, to verify process effectiveness, and to influence business decisions. Data analytics is typically used as evidence in support of findings and conclusions during the execution of engagements and other value-added consulting and continuous auditing activities.
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We are a small team of data analysts in the Audit, Evaluation, and Risk Branch at the Canada Revenue Agency. We produce data analytics and business intelligence for enterprise risk management and the assurance and advisory domains of internal audit and program evaluation.
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Our hope is that this GCwiki platform will enable us to share our data analysis practices with you, and to connect with the artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) community of professionals to learn and discover new things.
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If our articles and podcasts inspire you, please reach out to us to let us know, and let's start a discussion! We are eager to learn new things.  
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Data Analysis Section
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Professional Practices and Data Analysis Division
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Internal Audit and Evaluation Directorate
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Audit, Evaluation, and Risk Branch
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Canada Revenue Agency
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Email: aerbdatag@cra-arc.gc.ca
  
 
=== Data Watcher ===
 
=== Data Watcher ===

Revision as of 13:59, 27 August 2021

Return to [Audit, Evaluation, and Risk Branch] homepage

Data Analysis

Greetings!

We are a small team of data analysts in the Audit, Evaluation, and Risk Branch at the Canada Revenue Agency. We produce data analytics and business intelligence for enterprise risk management and the assurance and advisory domains of internal audit and program evaluation.

Our hope is that this GCwiki platform will enable us to share our data analysis practices with you, and to connect with the artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) community of professionals to learn and discover new things.

If our articles and podcasts inspire you, please reach out to us to let us know, and let's start a discussion! We are eager to learn new things.  

Data Analysis Section Professional Practices and Data Analysis Division Internal Audit and Evaluation Directorate Audit, Evaluation, and Risk Branch Canada Revenue Agency Email: aerbdatag@cra-arc.gc.ca

Data Watcher

  • Article 1
  • Article 2
  • Article 3
  • Podcast 1
  • Podcast 2
  • Podcast 3

Professional Practices

The Professional Practices Section actively supports audit/evaluation/advisory practitioners with methodology, tools and guidance to perform their work to the high standards of competence and value-added espoused by the Branch.

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