A recent big data project has resulted in the creation of an application used to support important investment decisions. Which of the following should be of GREATEST concern to the risk practitioner?

When an application is used for critical investment decisions, the quality and accuracy of the underlying big data are paramount. Poor data quality, including inaccuracies, incompleteness, or inconsistencies, can lead to faulty analysis, incorrect models, and ultimately, disastrous investment decisions, posing the most significant financial and reputational risk to the organization.

Maintenance costs are an operational concern but do not directly impact the accuracy and reliability of the investment decisions themselves as much as data quality does.

Data redundancy, while potentially inefficient, does not inherently lead to incorrect investment decisions unless it introduces conflicting or outdated information that compromises data quality.

System integration issues can cause operational disruptions or delays, but if the integrated data is fundamentally flawed, the core decision-making ability is compromised, which is a greater concern than integration challenges alone.