Page 47 - CITP Review

Chapter 2

Business Intelligence, Data Management,

and Analytics

Learning objectives

 Recall the information lifecycle, from identification of system information through destruction, and
the various types of infrastructures and ERPs to support data

 Indicate how data is collected and manipulated, including consolidation, cleaning, transformation,
reduction, and processing

 Identify the governance of data including objectives, strategy, and policies

 Differentiate the various types of data analytics, the tools and procedures to perform an analysis, and
the methods of reporting and performance indicators

 Apply predictive analytics, including the 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)

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