Financial services providers across the globe face unique needs, regulations, and compliance requirements that impact their ability to efficiently manage large quantities of complex data from multiple sources. Matrix-IFS specializes in developing agile business intelligence solutions and services, customized to the unique demands of each organization, efficiently and economically.

Extract Transform Load (ETL) is a complex exercise that simply cannot be blindly copied from one implementation to the next. Having developed ETL solutions across a variety of risk and compliance scenarios, Matrix-IFS enables financial institutions to incorporate best practices, recognize exception protocols, and establish a rigorous and robust quality assurance process when setting up ETL to optimize results from any detection system being used.

Financial crime and compliance solutions are extremely sensitive to data quality issues; therefore, successfully mapping this task can remove a significant risk from the overall compliance program. We have vast experience in mapping financial data structures to the compliance technology solution and can address issues that may influence the solution’s logic or detection performance (false positives).

Due to the high degree of sensitivity to data issues, performing a successful data mapping from source to target can remove a significant risk from any financial crime and compliance program. We have vast experience in mapping financial data structures to compliance technology solutions, and can address issues that may influence the solution’s logic or detection performance (false positives).

Matrix-IFS has experience in delving into financial intuitions’ data sources and tracking down the origin and pathways of data elements pertaining to financial crime and compliance within the data warehouse. By engaging in such analysis, our customers expose underlying issues and concerns that may affect compliance operations, for example, by causing performance issues or producing erroneous results/false positives. Additionally, tracing data lineage is crucial to compliance with CCPA/GDPR regulation and IT audit requirements.

As financial intuitions seek more effective means to manage data stores related to financial crime and compliance, they can rely on Matrix-IFS’ track record to architect big data solutions in this domain. Our experts can deliver the components needed to implement the program successfully within the organization and develop custom tools, applications, and enhancements to meet the organization’s IT needs.

Financial institutions need to store a multitude of data elements for the purpose of financial crime prevention and compliance. In particular, GDPR and similar regulations pose unique challenges in securing compliance technology solutions and catering for privacy requirements. Matrix-IFS can help protect those data stores by advising, planning, and designing well-architected and secure interfaces, reviewing the institution’s security strategy for gaps, and providing cost-effective solutions where needed.

We have extensive experience in helping financial institutions operate their financial crime and compliance technology solutions on the cloud. We can leverage private cloud solutions or partner with industry cloud providers such as AWS or Google Cloud, for a public or hybrid cloud solution. We strongly believe that a robust cloud strategy, executed by a reliable and experienced partner can “future proof” the organization’s risk and reduce the cost of financial crime and compliance starting from day one.