Forensic data analytics for a global not-for-profit organisation

A global not-for-profit organisation was facing serious allegations of systemic bullying and sexual harassment within its ranks. The organisation needed to address complaints of systemic bullying and sexual harassment effectively. They required a sophisticated approach to uncover the extent of the issues and identify specific areas where these problems were most prevalent.

The solution

1. Predictive modelling data analytics: The expert team at PKF deployed a predictive modelling data analytics exercise, utilising both qualitative and quantitative data. This comprehensive approach was designed to reveal critical intelligence necessary for the investigation.
2. Data integration: The model integrated various data sources, including employee surveys, incident reports, HR records, and other relevant qualitative and quantitative data, to provide a holistic view of the organisational climate.
3. Hotspot identification: Through advanced analytics, the model identified hotspots with integrity-related issues. These hotspots were areas within the organisation where bullying and harassment complaints were most frequent and severe.
4. Targeted investigations: The insights gained from the predictive model guided further targeted investigations. This allowed the organisation to focus its resources on the most problematic areas, ensuring a more efficient and effective response.

The outcome

PKF’s forensic data analytics services enabled the global not-for-profit organisation to:

• Uncover critical intelligence: The predictive model provided valuable insights into the systemic issues of bullying and harassment.
• Identify problem areas: Hotspots with integrity-related issues were clearly identified, allowing for targeted interventions.
• Guide investigations: The organisation was able to conduct more focused and effective investigations, addressing the most severe issues first.
• Implement corrective actions: Based on the findings, the organisation implemented corrective actions to improve the workplace environment and prevent future occurrences.

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