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Understanding and Auditing Big Data

Format: On-demand

Big data describes the infrastructure used to manage the rapid growth and availability of data created by people, applications, and smart machines, which contains large, complex data sets that are beyond the capabilities of traditional data processing applications. Big data has become a critical driver of business success. Analyzing data to create business value is not a new concept; however, it is becoming increasingly important to consolidate, normalize, and interpret both structured and unstructured data from multiple inputs, and base business decisions on the resulting insights. Organizational success is more dependent upon accurate, complete, and timely data. This fact emphasizes the importance of internal audit’s role in providing assurance over the organizational use of big data.

Due to increased demand, immature frameworks, and emerging risks and opportunities that are not widely understood or systematically managed by organizations, internal auditors must develop new skills, and obtain knowledge in big data principles to effectively provide assurance that big data risks are addressed, and benefits are fully realized.

This course will provide internal auditors with an understanding of big data and the requisite knowledge of advisory and assurance engagements related to big data. The course provides an overview of big data concepts and elements contained in big data programs, and helps internal auditors understand their role in support of the big data initiatives and the tools and technologies needed to support the program. Finally, the course elaborates on planning and performing an audit engagement by addressing key risks that should be considered when planning an audit of big data.

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