ENTERPRISE DECISIoN SYSTEMS
The Work
Financial data can be extremely noisy, unqualified, and sometimes by definition, stochastic. This creates a myriad of issues in enterprise decision systems. Internal risk mitigation technology can increase the reliability and resiliency of financial services decision systems.
Case Study
FINANCIAL SERVICES • CYBERSECURITY
The Challenge
In many circumstances, financial teams have to use data that they don’t collect, and they may be removed substantially from the data acquisition system. Any of these steps include data propagation that can introduce data quality and internal cyber risks to these decision systems.
The Solution
Using our data validation, we pinpoint data and risk within the decision system.