Become a data-driven organization.
As digital ecosystems rapidly change, data becomes more complex and increasingly hard to identify and use in meaningful ways. We’ll help you mitigate your business risk and maximize opportunities with quality assured data models free of errors and redundancies.
Future-proof your data.
Today’s markets move fast and evolve quickly. If your data model rolled out today, how long would it work for? Would it still be relevant? Would it still be secure? Our data modeling optimization puts your models under the microscope to validate fit for purpose, build and process.
Increase model stability and future-proof against drift.
Increase data performance and gain more benefit from your models.
Improve evaluation of model options and suitability for purpose.
Eliminate sub-optimum model components with continuous optimization.
Self-healing and self-monitoring.
Standard prediction models must be updated frequently to keep up with fast paced changes. Though basic stability of these models can be boosted, it’s still likely to fall out of date with new data over time. Qualitest’s suite of AI-powered data modeling tools solves this with self-monitoring and self-healing to keep your models fully optimized.
Longevity – Future-Proof Data
Quality – Improve Data Processes
Speed – Become Agile
Cost – Save Data Analyst Resource
Realize your data’s full potential.
Accurate and robust prediction for big data is here. Our AI-powered Qualisense tool was developed by the experts in our AI division to identify and re-model flaws in data-management systems to help you avoid common pitfalls.
Advanced AI-Powered Tool
Configurable System and Pipeline Integration
A success story
Major Global Insurer Improves Fraud Detection Models and Gains Predictive Customer Behavior Model
When this multi-line global insurer found its fraud-detection models were not as performant as they needed to be, Qualisense was deployed to benchmark and upgrade the in-use models, resulting in a marked increase in accuracy and precision. This major global insurer identified issues with their insurance fraud detection models.
Qualitest undertook a root and branch review of the Client’s data processes to resolve the vulnerabilities in its fraud-detection processes and implemented new, superior models using our platform.
A 10% cost reduction was achieved plus additional value was gained from big data insights in the form of predictive modeling for customer lifecycle management.
The Qualitest team was very prompt in responding to our needs, in the most professional way, and helped us hit the required deadlines on time, and in quality.
Data scientists are ready to help you.
All you have to do is ask.