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

A-Team Insight Blogs

SAS Integrates Technologies to Deliver Decision Manager Platform

Subscribe to our newsletter

SAS has pulled together existing and new technologies to deliver SAS Decision Manager, a platform that integrates predictive analytics, business rules and data management to support decision making. The platform is also being built into other SAS products with the first to host the technology being SAS High-Performance Risk.

The risk solution uses the platform and event processing to speed up calculations and is available immediately. SAS Decision Manager is being used by early adopters in the financial services sector and will be production ready towards the end of July.

Decision Manager is designed for all those involved in decisions, be they business analysts, modelling specialists, IT people or managers who evaluate the return on investment of decisions. According to Madhu Nair, SAS senior manager for information management, “We wanted to automate decisions, especially high-frequency operational decisions, and we wanted to address the needs of all the people taking part in making decisions.”

With this in mind, SAS has included newly developed business rules for business analysts, these can be purchased separately as SAS Business Rules Manager, in Decision Manager, as well a visual data builder to help IT staff prepare and deploy data. Drawing on its existing product set, the company has integrated the SAS Model Manager for data modelling into the platform, as well as SAS Data Management and SAS Visual Analytics, which are used here for business managers to understand decision flows.

Nair says: “Before, users would have had to buy the components separately, then integrate and maintain them. SAS Decision Manager is a single, tightly integrated platform that bridges the gaps between people involved in decision making and allows companies to make faster, more accurate decisions.”

Existing users of SAS business analytics can upgrade to SAS Decision Manager, or it can be purchased as a stand-alone solution. The platform is also being incorporated into other SAS solutions, with initial integration designed, in part, to mature the technology before it became a stand-alone product. To date, the technology forms part of SAS High-Performance Risk and SAS Real-Time Decision Manager, a customer intelligence tool dedicated to high-volume, inbound customer channels, but further integration is planned.

Subscribe to our newsletter

Related content

WEBINAR

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

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

A-Team Group Announces Capital Markets Technology APAC Awards 2026 Winners and Launches ‘State of the Market’ Report

A-Team Group today announced the highly anticipated winners of the Capital Markets Technology APAC Awards 2026. These prestigious awards celebrate the most innovative solution providers and financial institutions that are reshaping the capital markets technology landscape across the dynamic Asia Pacific region. In conjunction with the awards, A-Team Group has also launched the “State of...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

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...