The data layer provides a single, integrated data repository for multiple use-cases across finance, risk and regulatory compliance as well as other functions. This approach aids in establishing a standardized approach to regulatory and client reporting across different countries and regimes that firms are active in.
At the heart is a robust data model that integrates data for consumption at both the group level and the operational level. Our solution suite allows senior management and compliance officers to drill down into top-line figures in order to understand where a given number was originated, whether from a risk calculation engine, or transactional or other system.
Our platform takes a standardized approach to identifying and meeting regulatory requirements. It identifies which and how regulations apply to the firm’s business within the regimes in which it operates. It handles security and permissioning, ensuring only those staff entitled get access to data, an important consideration particularly when operating across multiple countries and/or subsidiaries.
At a high level, it offers complete data transparency for risk management, finance and regulatory reporting, taking multiple, disparate data sources into integrated, centralized data architecture. Creating data consistency across the operations allows firms to yield efficiency benefits from the data itself.
The data architecture applies a set of complex business rules that transform the existing information from internal systems, which collectively is unstructured, into new information of business value.
• The data transformation process is closely monitored by tracking tools, continuously measuring and recording information about each data event.
• Data is further validated and reconciled through user defined rules, improving the quality necessary to confidently reach business decisions.
• An end-to-end auditing capability from event to disclosure offers full insight into the data flow, the manipulation and transformation of data as well as the event origin and data target.
By standardizing data sets and setting harmonized common vocabularies across different business processes, firms can begin to break down the silos, whether geographical, functional or defined by asset class.