Data Management & Analytics
An integrated approach
Data management processes typically involve data sourcing, cross-referencing, and ironing out any discrepancies via reconciliations and data cleansing. Data analytics processes generally are carried out afterward in various desk-level tools and libraries, close to the business users and typically operating on separately stored data subsets.
Improve business user productivity
Alveo provides both an easy to use environment for business users to access validated data and create analytics, as well as a range analytics created within Alveo. Our cloud-native, bitemporal data warehouse combines full transparency on sourcing, data preparation, data lineage and quality metrics with external libraries and native R and Python integration. Data can be accessed via our user interface and REST API as well.
Take Data into your own hands
A self-service model
Alveo empowers business users to define custom rules for derivation and validation and onboard new data without the need for IT. Alveo manages price consolidation and construction of derived data such as curves and allows business users to access market data directly using open-source technology using Apache Spark and notebooks.