Description
Complement your accounting background with important analytical tools for decision making. Acquire essential competencies in your pathway to becoming a CITP credential.
Designed For
- CITP credential candidates (professionals and students)
- Existing CITP credential holders
- Accounting professionals
- Finance professionals
- Auditors
Objectives
- Analyze the life cycle of data and its implications for data-driven decision making.
- Indicate how data is collected and manipulated, including consolidation, cleaning, transformation, reduction, and processing.
- Differentiate the various types of data analytics, the tools and procedures used to perform an analysis, the methods of reporting, and performance indicators.
- Apply predictive analytics, including various models, techniques, applications, and deployment.
- Apply the integration of analytics in the audit process, including risks and assertions, and continuous assurance.
- Differentiate the various forms of technology disruptors, including cloud tech, IoT, and AI.
- Identify how to use data integration (ETL, EAI and EDR) as well as data warehousing (Active, OLAP, ROLAP, MOLAP, HOLAP, and DOLAP).
Highlights
- Information life cycle management
- Business impacts and disruptions
- Data analysis and reporting
- Audit data analytics
- Predictive analytics
- Digital transformation and technology disruptors
- Data integration
- Data warehousing