In today’s financial services landscape, organizations are expected to process massive volumes of data with speed, accuracy, and transparency. Auditing, in particular, plays a critical role in maintaining trust, ensuring compliance, and delivering fair outcomes for customers.
This short video highlights how Verus Financial transformed its auditing capabilities by modernizing its analytics environment. By combining advanced analytics platforms with expert guidance, the organization achieved faster insights, higher accuracy, and improved operational efficiency without compromising data integrity.
The problem
Verus Financial specializes in analyzing millions of financial records to identify unclaimed assets and return them to their rightful owners. This work requires extremely high levels of accuracy, as even minor errors can impact customer trust and regulatory compliance.
As data volumes increased, Verus Financial faced a significant challenge:
How can millions of records be analyzed quickly and efficiently while maintaining consistent accuracy and audit quality?
Traditional auditing approaches struggled to keep pace with growing datasets. Analysts spent too much time validating data, running manual checks, and reworking reports. This slowed decision-making and limited the organization’s ability to scale operations effectively.
To continue serving customers better and faster, Verus Financial needed a more advanced, data-driven approach to auditing, one that could deliver reliable insights at speed.
The Solution
To address these challenges, Verus Financial implemented IBM InfoSphere and IBM SPSS software as part of a modern analytics and data quality strategy.
These platforms enabled the organization to:
- Process large and complex datasets more efficiently
- Improve data quality and consistency across audit workflows
- Apply predictive analytics to identify trends and anomalies
- Reduce manual effort through automation and advanced modelling
- Support faster, more confident audit decisions
By leveraging these tools, Verus Financial moved away from slow, manual auditing processes toward a scalable, analytics-driven model. This shift allowed teams to focus on higher-value analysis rather than repetitive data validation tasks.
The role of Prolifics
Prolifics played a key role in ensuring the success of this transformation by bringing deep experience in predictive analytics, data quality, and enterprise data platforms.
Rather than focusing solely on technology implementation, Prolifics adopted a strategic, long-term approach that aligned analytics capabilities with business goals.
Key contributions included:
- Architecting predictive analytics models to improve audit accuracy and consistency
- Strengthening data quality frameworks to ensure reliable and trustworthy outputs
- Acting as a strategic advisor across current initiatives and future analytics roadmaps
- Providing coaching, mentoring, and in-depth technical training to internal teams
This hands-on support helped Verus Financial build internal expertise while ensuring the analytics environment could evolve with changing business and regulatory needs.
The Results
The impact of the solution was immediate, measurable, and sustainable. By modernizing its auditing capabilities, Verus Financial achieved significant improvements across accuracy, speed, and efficiency.
Key outcomes included:
- 99% audit report accuracy, strengthening trust and compliance
- Audit iterations increased from 3 to 30 per week, enabling faster insights and decision-making
- Analyst training time reduced by 14 months, accelerating productivity and lowering operational costs
These results demonstrate the value of combining advanced analytics technology with expert guidance and strong data governance practices.
Why It Matters for Financial Services
For financial services organizations, rapid and accurate auditing is no longer optional. Customers, regulators, and stakeholders expect transparency, accountability, and timely outcomes.
This case highlights how predictive analytics and data quality solutions can:
- Improve audit reliability at scale
- Reduce operational bottlenecks
- Enable teams to work smarter, not harder
- Deliver better customer outcomes faster
It also reinforces the importance of partnering with experienced advisors who understand both the technical and business aspects of enterprise analytics.
Watch the Video
See how Verus Financial achieved rapid auditing capabilities in action.
