Data Integration, Visualization, and Analytical Control Risk

This chapter connects data preparation to analytics and decision support. The important ISC skill is to evaluate whether analytical outputs are complete, reliable, and appropriately controlled before they are used for assurance or management purposes.

In This Chapter

• Combining Data from Disparate Sources for Analysis explains how integrated analysis can create both insight and risk.
• Visualization Tools and Reporting Dashboards covers how results are summarized and communicated through analytics tools.
• Predictive Analytics, Machine Learning, and AI Fundamentals introduces the core concepts behind more advanced analytical models.
• Identifying Control Risks in Data Analytics and Continuous Monitoring focuses on the risks created when analytics become part of control processes.

How to Use This Chapter

• Read this chapter when dashboards and analytics seem useful but hard to evaluate.
• Focus on data quality, model logic, and governance over analytical output.
• Return here whenever an ISC question asks whether an analytics process is reliable enough to support a conclusion.

In this section

• Combining Disparate Data Sources for Reliable Analysis
  Combining disparate data sources for reliable analysis.
• Visualization Tools, Reporting Dashboards, and Insight Communication
  Visualization tools, dashboards, and insight communication.
• Predictive Analytics, Machine Learning, and AI Fundamentals for CPAs
  Predictive analytics, machine learning, and AI fundamentals for CPAs.
• Control Risks in Data Analytics and Continuous Monitoring
  Control risks in data analytics and continuous monitoring.