An integrated approach
By streamlining data sourcing, cross-referencing, and resolving discrepancies through automated reconciliation and advanced data cleansing, we enable efficient and accurate data processing. Integrated data analytics, powered by robust libraries and tools, deliver comprehensive insights across complete datasets, eliminating the need for fragmented desk-level operations.
Where transparency reigns
Our bitemporal data warehouse offers full visibility and transparency into data preparation, data lineage, and data quality. With seamless integration of R, Python, and external libraries, data is easily accessible through a user interface or REST API.
A self-service model
Gresham enables financial organisations to define custom rules, onboard new data independently, and manage price consolidation. We also provide direct access to market data using Apache Spark and notebooks.
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