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2A. Audit Analytics: Analyzing large data to find actionable insights, trends, conclusions, and facilitating
                   informed decisions.
                   2B. Efficiency in Audit: - Enhances the review process through more accuracy and efficiency.
                   2C. Improvement in Quality: - Enhances audit quality by allowing effective auditing of large IT data sets.
                   3. Methods:
                   -  Computer  Assisted  Auditing  Techniques  (CAATs):  Data  analytics  tools  and  visualization  methods  that
                   increase audit quality.
                   - Auditors utilize various applications and tools for analyzing large data sets to improve audit quality.

                   4. Example: ACL
                   ACL - Audit Command Language (ACL) Analytics is a data extraction and analysis software used for fraud
                   detection and prevention, and risk management. It samples large data sets to find irregularities or patterns
                   in transactions that could indicate control weaknesses or fraud. ACL (Audit Command Language) is used to
                   analyse and check complete data sets to perform Trial Balance reconciliations during the Audits. In such case
                   scenarios,  the  entity  provided  the  General  Ledger  dump  and  system  Trial  Balance.  Using  ACL,  the
                   completeness of the data can be ensured as the data set exceeded beyond the capacity of the excel and basic
                   functions like record count, sum,  pivoting can be performed within ACL where excel could not perform such
                   actions.

          QNO      Examples of automated tools                                            New Course – (SM23)
          DAA.900 TITANIUM CNO -- DAA.260
                   Enterprises are adopting emerging technologies at a rapid pace to create synergies and harness the latest
                   technologies. Give 3 examples of automated tools used as a part of emerging technologies along with the
                   risk and audit considerations associated with these tools.
          Answer  Automated Tools In Audit
                   (Shortcut: BRAIN)
                   Blockchain
                   Robotic Process Automation
                   AI (Artificial intelligence)
                   Internet of Things
                   NFT (Non-Fungible Token)

                   Blockchain
                   - Decentralized and encrypted ledger.
                   - Transactions are validated and then replicated to participants.
                   - Sequential blocks prevent unauthorized modifications.
                   - Wide-ranging industrial benefits recognized.

                   Robotic Process Automation
                   RPA  is  a  software  technology  that  mimics  human  actions  in  interacting  with  digital  systems,  enhancing
                   process  efficiency,  customer  experience,  and  control  effectiveness.  Unlike  humans,  RPA  bots  can  work
                   continuously with increased speed, reliability, and accuracy.

                   AI (Artificial Intelligence)
                   AI allows machines or systems to think and learn using data-driven algorithms.Decisions arise from complex
                   algorithms based on patterns or behaviours acquired over time.

                   Internet of Things
                   IoT involves connecting devices, such as cell phones, appliances, and machines, to the internet.

                   NFT (Non-Fungible Token)
                   NFTs are unique digital tokens that cannot be exchanged on a one-for-one basis like cryptocurrencies. They
                   represent ownership of unique items, from photos and videos to artwork and collectibles. These digital assets
                   are secured by blockchain, ensuring their uniqueness and authenticity.


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