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

A-Team Insight Blogs

Alveo Integrates MSCI ESG Research Content into DaaS Data Management Solution

Subscribe to our newsletter

Alveo has integrated MSCI ESG Research content into its Data-as-a-Service (DaaS) data management solution, giving clients access to both firms’ data and cloud data management capabilities, and providing solutions that integrate MSCI’s content into client workflows and help business users self-serve.

Integrated MSCI content includes MSCI ESG Ratings, ESG Controversies and ESG Sustainable Impact Metrics, as well as Climate Change Metrics, Business Involvement Screening Research (BISR) and MSCI ESG Global Norms Screening.

The MSCI content can be cross-referenced and linked with client data sets or content from third-party data sources within a client’s business processes. The collaboration also provides capabilities for fast data onboarding, complete data lineage, data governance, data cleansing, cloud sharing delivery, and last-mile integration into customer’s workflows and cloud data warehouses.

“Combining data and data management into a DaaS offering that enables clients to more easily onboard new data is a growing requirement across the industry,” says Mark Hepsworth, CEO at Alveo. “Our collaboration with MSCI on off-the-shelf, maintained integration will make data onboarding and operational integration as easy as possible.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

Data Reconciliation Hurdles Seen Holding Back Innovation

End-of-day reconciliation processes create data challenges that are constraining buy-side firms from achieving efficiencies from new technologies and AI initiatives. The challenges posed by reliance on long-established reconciliation processes come as the buy-side undergoes a transformation of its operating models to accommodate new data management, investment and settlement strategies. This challenge was highlighted in a...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...