Business Analytics and Emerging Trends - Artikel Z - Fraud analysis

8 important questions on Business Analytics and Emerging Trends - Artikel Z - Fraud analysis

What are three basic approaches for data mining for Fraud Analysis?

  • Statistic-based methods (Neural networks)
  • Distance-based methods (Clustering)
  • Logic-based methods (Decision trees)

How do you handle a fraud analysis with fake vendors?

  1. Start with simple queries and matching vendor address with employee address
  2. Check for patterns in vendor invoice numbers (sequential issues invoices are a red flag)
  3. Interval approach: incrementing the next invoice number by a set of numbers

What are the 3 values of data analytics in auditing according to Trevor Stewart?

  • Value of visualization
  • Value of clustering
  • Challenges in outlier detection
  • Higher grades + faster learning
  • Never study anything twice
  • 100% sure, 100% understanding
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What are the 4 elements of the balanced scorecared?

  • Financial (revenues)
  • Customer (customer satisfaction)
  • Internal Process (Inventory)
  • Learning (Employee training)

What are the 3 forms of managerial accounting data analytics (MADA)

  • Descriptive
  • Prescriptive
  • Predictive

What are the three critical success factors of MADA?

  • Organization (committed management)
  • Process (iterative development approacht)
  • Technology (Business-driven)

What are the (1) accounting innovations, (2) reporting mechanism, (3) reporting objective and (4) underlying technologies of Reporting 4.0?

  1. More data less aggregation
  2. App with performance
  3. User-driven reporting
  4. Mass customization

What are the challenges in integrating new auditing methods?

  • Auditor skills
  • Data challenges (quality)
  • Adaption of audit standards
  • efficiency and effectiveness

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