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

A-Team Insight Briefs

Arcesium and Confluence Partner to Provide Efficiencies for the Buy-Side

Subscribe to our newsletter

Arcesium, a provider of enterprise data management solutions, and Confluence, a solutions provider for the investment management industry, have partnered to deliver an integrated data management and analytics solution for middle/back-office operations of asset managers.

The partnership is intended to deliver workflow efficiency across performance, risk and regulatory reporting, and will integrate Confluence’s StatPro Analytics solution, comprising performance, attribution, risk, GIPS, and other investment analytics, with Arcesium’s Financial Data Stack modules and cloud-native data management platform, Aquata.

The offering is available as a technology solution or a fully managed service, allowing asset managers to consolidate vendors and lower total cost of ownership.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

When Silence is the Best Measure of Success: ROI of Data Trust Webinar Review

When data observability and remediation tools work, the only measure of success is silence – nothing happens, no data breaks, no anomalies, no dramas. It might seem hard to demonstrate the success of something when there is nothing to show, especially when the business is required to prove the value of the process to secure...

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...