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

A-Team Insight Blogs

Groupe Reunica’s Muret Elaborates on its Implementation of SAS to Tackle Op Risk and Increase Efficiency

Subscribe to our newsletter

French pension fund group Groupe Reunica has been using SAS’s data warehousing solution for around 10 years, but two years ago decided to expand its implementation to cover reporting and has since rolled out SAS Strategy Management (STM). Arnaud Muret, performance director at the group, explains the progress that has been made, what is still to be done and how it has benefited Groupe Reunica thus far in terms of tracking productivity and operational risk.

“The decision to implement SAS STM was taken by our CEO, with a view to using a mixed balance scorecard approach to tracking overall productivity across the group,” explains Muret. This top down approach allowed for decisions to be made quickly and the implementation to proceed without the need for business buy in at every stage. The overall aim of the project has been to get a better handle on the fund’s progress towards achieving its strategic goals in terms of financial, customer focused, growth and sustainable development metrics.

“The desired end result is for each employee to be able to explain how he or she has contributed to the fund achieving each of these goals set by the board,” he elaborates. To this end, the implementation has currently reached manager level and the plan is to extend this down to each employee by the end of the project.

Key performance indicators (KPIs) have been set for the individual teams at the moment and the management team is therefore able to interrogate why individual goals have not been reached. Muret notes that this has involved the definition of around 450 KPIs across the fund for all of its activities and links have been established between these individual KPIs. “There are around 10 or 20 KPIs for each manager at the moment and every manager is therefore able to mark his or her performance against these,” he adds.

In this manner, the group has been able to get a better handle on its operational risk and its productivity. Muret also notes that it is the only group in France (that he knows of at least) to tackle this challenge in this manner.

The reason the fund group opted for SAS in the first place was its traction in the domestic French market and the familiarity of its staff with the vendor’s solutions. “The attraction of the data warehouse solution 10 years ago was the statistical analysis capabilities of SAS and the phased approach it offered,” Muret says.

Muret reckons the implementation will help prepare the fund group to meet the challenges of Solvency II, given that it has facilitated greater efficiency and cost reduction across the group. He notes that perhaps other firms of a similar type may decide to go down this route due to the increasing pressure across the market to get a better handle of operational data and risk.

Certainly, SAS will not be the only firm to make a bid for the attention of the insurers, fund managers and pension funds affected by Solvency II, which is due to be introduced in January next year. SunGard, Standard & Poor’s, Netik, Cadis and a hole host of other vendors have been refining their related messages over the last year or so.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

Northern Trust Highlights Asset Owners’ Data Challenge in Private Markets

Much is spoken of the data challenges that institutional asset managers are facing as they redraw their business models to meet the demands of a new economic environment, but less is said of asset owners, who are undergoing their own operational transformations. For them, the data journey is just as challenging; as their operational models...

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...