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Line 2: − 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.+ − 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.+ + + + + + + + + + + +
Professional Practices and Data Analysis Division (view source)
Revision as of 13:59, 27 August 2021
, 13:59, 27 August 2021→Data Analysis
== Data Analysis ==
== 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 ===
=== Data Watcher ===
