Data Management & Analytics Solutions | Fintech Sector

Data management processes typically involve data sourcing, cross-referencing, blending and correcting any discrepancies via reconciliations and data cleansing. Data analytics processes generally are carried out subsequently in various desk-level tools and libraries, close to the business users and typically operating on separately stored data subsets. Many business users complain about the level of additional data management they have to carry out before the data is ready for them to work with.

63%

Of Data Scientists in financial services firms are not currently able to combine data and analytics in a single environment.

77%

Of Data Scientists say their organisation requests the same data multiple times from a single data vendor, leading to unnecessary costs.

82%

Of respondents highlight inconsistent market data usage in front, middle and back office as leading to expensive inconsistencies

Integrated data management and analytics to optimally service business processes and end users

Data quality management to prepare data for use in valuation and risk models and machine learning

Complete data lineage to trace data back to its original sources, show data derivations and explain model results

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.

Full Transparency

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.

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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.

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Our unique structured approach to securing high-quality market data and validated price information has proven to be highly effective for many of the world’s most notable financial services firms.