Aponia Data Case Studies
Aponia Information Management, Big Data, Predictive Analytics & Risk Management case studies show how our clients are achieving significant outcomes with big data, analytics and risk management.
|Investment Services: Global Credit Rating Business||Predictive Risk Management: Enterprise GRC & Vendor Risk Management||Improve GRC maturity ratings through GRC and Audit Plan programs integration
Simplify regulatory compliance process controls activities requirements. Increased project success by over 40% by applying predictive analytics.
|Health Care Services: Health and Wellness Advisory Business||Healthcare Predictive Analytics||Use of Watson analytics to offer health care providers a complete view of patient data to help predict critical points in preventative care|
Food and Beverage business
|Sales & Marketing Predictive Analytics||Create personalized marketing campaigns using real-time actionable insights into customer buying behavior.
Use Watson to Improve cross-selling and increase sales by analyzing patterns to better understand customers’ purchases.
Global bank and investment services business
|Predictive Risk Management: Enterprise GRC & Vendor Risk Management||Consolidate SOC Audit analytics in single risk discovery database. Track all documents to evaluate compliance standards and SOC 2 principles testing. Extend analysis to cover vendor documents, including templates, business continuity plans, and exit plans. Using Watson predictive risk management engine to identify vendors that have a greater risk of not performing.|
|Professional Services: Tax, Audit & Advisory Firm||Information Management Process Improvements||Watson Center of Excellence development. Centralize data analysis and reporting. Increase report generation speed by 70 percent.|
Property & Casualty Insurance, Specialty Coverage Grp
|Predictive Risk Management: Enterprise GRC & Vendor Risk Management||Improve operational efficiency by reducing the time, resources, and effort, required for risk management control activities by 20%. Consolidate vendor loss adjustment information governance and risk response data management|