State Street implements DST BPM platform in Australia

DST Global Solutions announced today that State Street Corporation in Australia has recently implemented the company's AWD10, a Business Process Management (BPM) platform.

  0 Be the first to comment

External

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.

AWD is currently used for the management and distribution of unit trust transactions and related documentation. It is managed by both internal operations and clients who access and interact with the solution via the internet.

The AWD solution will allow clients to be part of an enhanced communications workflow process. In the process of receiving daily unit trust transactions such as switches and redemptions, State Street provides process interaction through AWD. This allows the clients to provide requested information such as bank details or beneficiary changes, as well as responding to exception queries straight through to AWD. It also allows asset and investment managers' call centres to view the status of transactions and access the applicable documentation online.

Paul Khoury, chief operating officer for State Street in Australia commented, "We wanted a solution that could further automate our transaction management process and enhance our customer service experience. Utilizing AWD10 will allow us to deliver an advanced technology BPM web portal to our clients."

Tony Armour, BPS Managing Director for DST Global Solutions said: "We congratulate State Street on its speed to select and implement AWD10. I am delighted that one of our long term global clients recognises the multiple benefits of delivering a platform that remains focused on continuously improving business processes for their organisation and its customers at the same time."

Sponsored [On-Demand Webinar] PREDICT 2025: The Future of AI in the US

Comments: (0)

[On-Demand Webinar] PREDICT 2025: The Future of AI in the USFinextra Promoted[On-Demand Webinar] PREDICT 2025: The Future of AI in the US