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

BI-SAM Releases B-One 3.3 Including the SRRI Calculation to Meet KIID Requirements

Subscribe to our newsletter

BI-SAM, a leading provider of data management, performance, attribution, risk, GIPS composites and reporting solutions for the global asset management industry, today announced the release of B-One 3.3, the latest version of its award- winning platform.

B-One 3.3 enables performance and reporting teams to further optimise their production value chains and focuses on helping asset managers meet the additional UCITS IV regulations requirements for KIID and SRRI (Synthetic Risk & Reward Indicator) calculation.

The workflow management capabilities, that provides full management of the report production process, from data collection, data checking and validation to report production and distribution, have been further extended to include:

  • Tasks can be assigned to users, with priorities and deadlines e.g. report publication due dates
  • Users can monitor and manage their own tasks to ensure that deadlines are not about to missed
  • Manager can monitor, using a customisable dashboard, the entire production value chain
  • Managers can re-assign tasks to other staff to deal in peak demand periods

Additionally B-One 3.3 includes the SRRI indicator to help its clients further leverage its performance and reporting platform to meet their UCITS IV obligations to deliver KIID reports.

“The financial market is constantly evolving and investment companies are continually required to meet new standards. BI-SAM, once again, demonstrates its ability to meet clients needs by enhancing its platform to integrate the new regulations requirements.” said Nicolas Frank, Head of Research & Development.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Uncovering Data Anomalies: 16 Data Observability Solutions for Capital Markets

Financial institutions’ operational resilience depends largely on the integrity of their data and the applications it feeds. The huge volume of data that modern organisations ingest makes this a challenge. The accuracy, completeness and timeliness of critical data can be improved if it is monitored and checked as it moves through increasingly intricate data pipelines...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...