The way investment firms value and manage their data is rapidly changing. It is now possible to quickly gather and analyze data to provide key metrics, identify trends, and ultimately drive customer satisfaction. Continue reading
By Jen Molgano
We have a full agenda for our institutional and investment manager clients at SS&C Deliver 2017 this year! Taking place September 12-14 at the Hyatt Regency in Chicago, our sessions and a speaker line-up include interactive demonstrations of our new solutions, discussions around outsourcing trends, and industry best practices. Here is just a sampling of sessions.
By: Van Nguyen
Today’s savvy investors are interested in complex investment strategies that involve emerging asset classes and portfolios with a global exposure. This adds pressure to data management systems as investment managers seek to make the best decisions, provide timely reporting, and meet regulatory requirements.
By: Ian Searle
Data management has always been a key focus area for asset and wealth managers. Now that more detailed and granular analysis is required, it’s critical managers have the proper tools to manage the vast amounts of information needed to run their operations smoothly and efficiently. Continue reading
Data management has always been a key focus area for asset and wealth managers. Now that more detailed and granular analysis is required, it’s critical managers have the proper tools to manage the vast amounts of information needed to run their operations smoothly and efficiently.
Data includes not only transactions and positions, but also accounting data, market data, and increasingly detailed performance and risk analytics. Asset and wealth managers (particularly the latter, who often have tens of thousands or more client accounts), need efficient tools to manage this vast amount of data and provide more analytical output, preferably without a significant increase in costs.
The governance framework in Anova from SS&C solves this problem. It enables clients to manage significant volumes of data using a rules-based “exception management” process with associated workflows, automated notifications, and the ability to assign and track issues through to resolution.
Clients can use the out-of-the-box rules built within Anova (e.g. there are more than 20 built-in rules in the performance and attribution process alone) and/or configure customized rules to process the majority of clean data. They can then focus on the exceptions raised as data “fails” one of the built-in tests. Each exception raises a workflow that can be manually or automatically assigned to a user or group of users, who are alerted via email. The workflow then moves through various stages of analysis, fix, and reprocessing with a full audit trail of events and any notes added by users during these stages. Dedicated dashboards in the Anova web UI allow users to track the progress of tasks and workflows. They also offer higher-level summary views so managers can quickly ascertain the overall status of their teams’ operational processes.
Phase one of the data governance framework, “building the rules”, was released in Anova v5.1 in Q4 2015. Anova v6.0 (coming in Q2 2016) includes the new workflow and associated task management and alerts functionality and new dashboards for managing the overall processes.
Learn more about data governance and management by joining us for our webinar – “Data Governance for Performance Measurement” – on June 22, 2016. Click here to register.