Opens in a new tab

How SAYS automates benchmarking for data clarity

Unlock clarity in your data benchmarking with SAYS. One of the most common challenges in analytics? Comparing performance across portfolios or strategies that don’t follow a standard benchmark. Traditional methods fall short—often forcing teams to choose between oversimplified models or complex manual workarounds. Enter Blended Benchmark Generation from Opturo’s SAYS platform. This feature empowers users to automatically create customized, multi-asset benchmarks aligned with actual portfolio allocations. No guesswork, no static indices—just accurate, adaptive comparisons that reflect how your investments really behave over time. The result: faster insights, smarter decisions, and stronger transparency—all without compromising precision or scalability. Curious how it works in action? Our new site walks you through what’s possible with the latest updates to SAYS: opturo.com Let us know how you’re approaching benchmark challenges—and if automation is part of your solution.

Read more

How SAYS automates benchmarking for data clarity

Related news

Opturo Launches New Consumer Facing Website

Opturo Inc. today announced the launch of its redesigned website, featuring a unified design language that brings together the company's ODIN and SAYS platforms under one cohesive visual identity. This strategic design approach showcases Opturo's unique market position as the only provider offering comprehensive bolt-on analytics solutions that seamlessly scale from enterprise-level implementations to flexible,…
Read more

How SAYS Platform automates multi-source reporting for asset managers

One of the biggest hurdles in data analytics? Reconciling multiple data streams into a single, reliable report—without sacrificing transparency or control. That's where Composite Reporting from SAYS Platform™ by Opturo steps in. Instead of manually stitching together outputs from disparate systems or relying on rigid workflows, users can now build dynamic, rules-based composite reports that…
Read more

A bi-weekly challenge from Andre Mirabelli & Opturo

How should a performance modeler address the following?For an illiquid, how do you assign/interpolate returns for each day in a year in a manner that does not misrepresent its daily volatility, when one only knows the returns for each of the four quarters in the year?