Complement your accounting background with important analytical tools for decision making. Acquire essential competencies in your pathway to becoming a CITP credential.
Learning 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).
Major Topics
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
