About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Alveo Takes Next Step in Cloud Data Management with Cloud Native Version of Prime

Subscribe to our newsletter

Alveo has made its Prime data mastering and quality management solution cloud native, placing it between cloud-native data platforms and consumers, and providing functionality to make cloud data meaningful and valuable to business use cases.

“There is a lot of data in cloud marketplaces,” says Mark Hermeling, chief technology officer at Alveo. But three things are missing – quality checks; combining or linking multi-source data; and propagating the data. Prime sits between cloud-native data vendors and clients, and does all these things to make the data presentable.”

Prime is cloud vendor agnostic, can process data from many different data sources and can flex and align to new datasets. The cloud-native software can run close to cloud-native data providers to reduce cost, and includes a number of loaders and adaptors to source data from various cloud data providers. The data is then cleansed, integrated and linked with other internal or external data, and propagated to the business or reloaded to the data cloud.

For example, it becomes possible to use an Alveo Snowflake adapter to pick up data from the data cloud, cleanse and link the data to internal data as required by the Prime user, and propagate the data through adapters to the same location, or another location, in Snowflake. The user subscribes to the data, which is permissioned in the context of the client, and the context is used by Prime to get the data in shape for client workflows.

“Firms that are keen to work in the cloud look at Prime as a cloud managed services solution that takes client data from native data clouds, applies integration and other functionality in the cloud, and then returns the data,” says Hermeling.

Prime also includes data governance that can be configured to user requirements, perhaps tracking particular datasets, who cleanses and checks them, and automating any changes in the business process model to ensure all users are aware of the changes. Data lineage covers data flows in the model, identifies any hot spots, analyses problems, and again, makes automated changes in the model where necessary.

Hermeling says: “Most organisations are driving to make all data native. Data then moves from a capex to an opex cost. They are making the transition from on-premise, to a hybrid of on-premise and a link to cloud, and on to cloud-native data over time. The biggest challenge is not technology, but business processes, as people have been doing things in the same way for a long time and change is slow.”

To ease these time constraints, Prime is configurable and can be used to make business process changes in two to four weeks, rather than more conventional IT changes of six to 12 months.

Looking forward, Hermeling says all Alveo’s new software will be cloud native, and Prime capabilities will continue to be extended in line with client demand.

Subscribe to our newsletter

Related content


Upcoming Webinar: How to optimise SaaS data management solutions in the cloud

Date: 16 January 2024 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Software-as-a-Service (SaaS) data management solutions go hand-in-hand with cloud technology, delivering not only SaaS benefits of agility, a reduced on-premise footprint and access to third-party expertise, but also the fast data delivery, productivity and efficiency gains provided by the...


GoldenSource Releases Market Risk Factor Data Standard, Eases FRTB Compliance

GoldenSource, a provider of Enterprise Data Management (EDM) and Master Data Management (MDM) solutions, has created a market risk factor data standard. Called Curve Master Definitions, the standard seeks to provide investment banks with a single risk factor taxonomy for market rates required to price OTC derivatives, including the storage and aggregation of industry standard...


AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.


Regulatory Data Handbook 2022/2023 – Tenth Edition

Welcome to the tenth edition of A-Team Group’s Regulatory Data Handbook, a publication that has tracked new regulations, amendments, implementation and data management requirements as regulatory change has impacted global capital markets participants over the past 10 years. This edition of the handbook includes new regulations and highlights some of the major regulatory interventions challenging...