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Data Management
At FINARCH, we understand having accurate, timely and reliable data is what powers financial decision making. Our Data Strategy Service enables our clients to realize a return on the power of their data. We work with our clients to develop a long term plan that defines the people, processes and technology required to achieve your desired analytical and reporting needs.
Why is Data Management Important?
With artificial intelligence, XaaS data and service providers, and the ever-growing need to use data for alpha generation, asset managers face significant challenges in data management. These challenges include, including fragmented data silos, inconsistent data quality, moving to a self-service model, costs, lack of technical expertise, and – mostly important – lack of data quality and cleaning tools.
These issues hinder operational efficiency, impede accurate reporting, reduce front office ability to generate alpha and expose firms to compliance risks as regulatory demands evolve. Additionally, the rapid growth of data volumes and the need for real-time insights strain legacy infrastructures, making scalability and agility critical concerns.
FINARCH addresses these challenges by delivering tailored data management solutions that unify systems, automate workflows, and ensure data integrity. Our expertise in system implementation and integration enables asset managers to consolidate data sources, eliminate silos, and help to establish a single source of truth.
Our Approach
Data Strategy
Data Strategy is your organizations vision for data – or in other words a data blueprint. The data strategy defines your transformation goals, which could be a new data lake or enterprise data warehouse. Our view is that data management should be business-driven and not technology-driven. It must align with the overall business strategy, and create value for the business.
Data Management
Data Management is the data governance layer of how data is managed within your organization. It defines data policies and standards, architecture, master data/gold copy, metadata and other frameworks. Our view is that data management should be defined by the needs of the business and users and the data governance should be aligned to those needs.
Data Analytics/Reporting
Data Analytics/Reporting is how your organization users your data. Typically it is the Reporting layer which could include Business Intelligence (BI) or other tools. Our view is this layer should be as self-serve as possible. For some organizations, this is typically challenging as they move from a batch-report mindset. The goal is to empower all users within the organization to leverage and harness the power of data without having to request IT/technical help
Our comprehensive approach includes designing scalable, cloud-based architectures that adapt to evolving data needs, enabling real-time analytics and decision-ready dashboards. FINARCH integrates our technical know-how, combined with our domain and functional expertise to harmonize legacy systems with modern platforms, minimizing disruption and maximizing ROI of your data assets.
< SimCorp One
Reporting & Integration Technologies >
Advisors
Paul Benton, CFA
Partner
Edward Wong, CFA
Partner
