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Ever wonder where your portfolio returns are truly coming from? With SAYS Platform™ by Opturo, you no longer have to guess. Our Performance Analysis / Return Generation engine empowers asset managers and data teams with full transparency into the drivers of performance—down to every last basis point. Whether you’re working across multiple sleeves, asset classes or strategies, SAYS breaks down returns with precision, consistency and scale. One of our clients—a global investment firm—used SAYS to automate multi-level return generation across hundreds of portfolios. The result? A seamless view into relative performance that once took hours… now takes minutes. Built for modern data demands, SAYS adapts flexibly to your architecture while meeting rigorous regulatory standards like GIPS® compliance. Curious how it works? We just launched our new site: https://opturo.com Explore how intelligent analytics can elevate your investment

Related news

Global ASP Asset Management Solutions Announces A Collaboration With Opturo Inc.

GLOBAL ASP ASSET MANAGEMENT SOLUTIONS (A MEMBER OF THE EBS INTERNATIONAL GROUP) ANNOUNCES A COLLABORATION WITH OPTURO INC. TO PROVIDE ADVANCED ANALYTICS AND A SUITE OF OPERATIONAL EFFICIENCY TOOLS TO ENHANCE SOUTH AFRICAN INVESTMENT FUND ADMINISTRATION CAPABILITIES.

A bi-weekly challenge from Andre Mirabelli & Opturo

If you use “Purchases in the Basis Dietz”, how do you approach the following scenario?The cash in a portfolio starts the day with a small gain and then the portfolio uses all of the starting cash and half of that small cash gain (“sells cash”) to purchase a non-cash instrument. Thus, nothing ever goes short.…

How ODIN’s Network Batch Processing boosts data analytics

Data teams know that time is their most valuable resource—especially when it comes to processing large volumes of interconnected datasets. That's why we built Network Batch Processing into ODIN. This powerful feature allows our users to efficiently process complex dependency networks across hundreds—or even thousands—of data jobs in parallel. The result? Faster insights, better scalability,…