Cloud data platforms, like the one offered by Snowflake, are the latest paradigm in data storage philosophy and promise a number of benefits to aid analytics, processing and reporting. However, when it comes to structured financial data types, there are a number of limitations that impede the potential.
A challenge when taking data into a cloud data platform is that the source data schemas or formats either need to be replicated within the platform or mapped to a schema within the platform. Deciding which approach is most appropriate and putting it into practice is challenging for many IT and data teams. GoldenSource solves for this with our financial services cloud data model and cloud data services to create your data fabric, weave cloud technology and data together, and tailor it to your needs.
GoldenSource is synonymous with the industry standard financial data model to mobilize data from all data vendors, data marketplaces and internal sources. So, don’t start from scratch to create a new business information model or data schemas when you license a cloud data warehouse. Let us take care of feeds, formats, symbologies, methodologies and governance, while you get the most from your data (including the full range of ESG data types). Our serviced data pipelines enable rapid ingestion at scale for:
Our cloud data services deliver your capability to get data ‘easy in’ and ‘easy out’ in a consistent way. We provide instant access and analytics, plus on-the-fly calculations for all data used across your business, delivered by our business-as-usual (BAU) services for operational efficiency, resilience and governance.
Let us take care of getting the data in and making it available for all your business needs. That’s our expertise.
We provide an open framework that serves all data warehouses and lakes, regardless of cloud provider. Our services ensure you can bring in vendor data, shared data from a cloud marketplace or the data cloud of an investment platform, and your own data. We also provide all the tools to plug in more functionality and data feeds, while we run the service in the background, ensuring the right data is always accessible to the right teams and systems.
For example, we ensure that you can effortlessly utilize data in four different states of refinement: