Build a secure and unified data architecture that is the foundation of your client experience.
Data Architecture is the foundation to any future-ready technology roadmap. From lowering project costs and making better decisions to operational efficiency and vendor optionality; a modern data architecture will help you deliver on your advisor and client expectations. We understand your network and data needs and use that knowledge to build a fully-integrated, secure and cloud-based data architecture.
Documenting an organization’s current data ecosystems, platform and source and target systems can provide visibility into the total number of interfaces and data provisioning points and data flows to/from systems.
Identifying the correct approach to procuring external data sets from third-party sources is crucial.
One hybrid RIA recently leaned on our expertise to build a future-ready data/technology platform, reduce legacy applications footprints, simplify data exchange interfaces, reduce manual processes and leverage automation to provide customized user experiences.
Our process included a review of the hybrid RIA’s existing architecture. That allowed us to identify the pain points and overlap, evaluate the manual processes and provide an analysis of their data interfaces and selected target platform.
Instead of a cloudy picture with no way to make informed decisions, the client gained a clear understanding of the path to improvement and had a plan to move forward.
A mid-sized hybrid RIA-Broker/Dealer came to us with non-standard data that was not uniform and was procured from fragmented data sources across multiple vendors. This meant they had no consistent source data integration or single “version of the truth” or data ownership.
To remedy this situation, we defined the data architecture and delivered a plan to build a single centralized data repository to procure and store data from various sources.
This hybrid RIA-broker/dealer now has a uniform data source and single source of the truth to enable data sharing and analytics from a centralized data store.
Recently, a highly innovative RIA called on us to help them consolidate their multiple data stores into a single model and reduce their manual extraction from multiple sources to support various business processes.
By developing a consolidated superset of data from multiple custodians into an entity relationship model, we consolidated their data fields into a uniform view.
This RIA now has a singular view of customer account positions in a single data model that is easy to access and build analytics reports against.