SMART IT Risk Management: A Data-Driven Approach to Evaluating IT Risk

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Relying on an individual’s experience and perspective to apply a likelihood and impact score is a highly variable exercise, making the subjective nature of risk a challenge for organizations across the globe. In addition, the digital transformation has given businesses more information than they know what to do within certain circumstances. Organizations can map the interconnectedness of risk to harness real-time updates and standardize risk at scale using careful data classification methods and flexible risk formulas. In this session, we’ll discuss how organizations can take a S.M.A.R.T. goal-oriented approach to connect enterprise data and translate the information into meaningful risk insights.


  • Identify data across business applications for the latest risk data
  • Automatically categorize information to deliver meaningful insights across risk, compliance, and your executive teams
  • Leverage risk scoring that incorporates both qualitative and quantitative inputs to remove the guesswork involved in evaluating risk

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