THE GOVERNANCE AND ANALYSIS OF THE DATA AVAILABLE TO ORGANIZATIONS AND THE 3 LINES OF DEFENSE

Data analytics offers enormous opportunities to transform traditional Audit, Risk and Compliance processes, but even more broadly to improve organizations' performance and operational processes.

Data analytics increases revenues by enabling management to make faster and better-informed decisions. With enough data to analyze, companies can predict customer behavior, understand their needs and respond in real time, changing or adding products to meet identified demand.

This approach can translate into a competitive advantage, a better customer experience, and increased customer acquisition and retention rates.

Data, when integrated and properly analyzed, can provide unique insights into the risks and effectiveness of controls. They can greatly improve the effectiveness and efficiency of compliance and assurance activities.

They can also be leveraged to enable organizations to continuously and real-time monitoring (i.e., continuous monitoring) of business and financial processes and transactions, with the benefit of highlighting any problems or anomalies in advance, before they turn into true critical issues.

The benefit of managing, analyzing and leveraging data is obvious, however, for many organizations, regardless of size or industry, this "data approach" has proven to be very challenging, especially in terms of ensuring data completeness and integrity over time and analyzing it efficiently and effectively.

RSM's Data Governance & Analytics services are therefore born with the goal of supporting our clients from the strategic design of data governance to the implementation of automated processes and continuous monitoring to benefit business effectiveness and efficiency.

Working closely with RSM's data analytics specialists, allows us to define a controlled, effective and sustainable process to achieve valuable results quickly through advanced and innovative technologies.

At RSM, we provide highly specialized support through professionals working in the following areas:

  • Design, audit and evaluation of the adequacy and effectiveness of the enterprise data management process (data governance)
  • Support during data migration activities and post-migration audits, including data quality activities
  • Complex data analysis activities and identification and construction of performance and risk indicators (KPIs/KRIs)
  • Design and implementation of processes and tools to enable continuous auditing/monitoring  

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