Welcome!

News Feed Item

Investment management industry hindered by 'inflexible' portfolio management systems finds new white paper from Eagle Investment Systems and Waters Technology

-- One-in-four data managers dissatisfied with current portfolio management solution

BOSTON, Jan. 31, 2014 /PRNewswire/ -- Inflexible portfolio management infrastructures are hindering investment management companies' ability to adapt to organizational and market changes, according to a new white paper sponsored by Eagle Investment Systems LLC (Eagle), a leading provider of financial services technology and a subsidiary of BNY Mellon.

The white paper, A Data-Centric Approach to Portfolio Management, was released by Waters Technology and based on survey responses from senior executives at investment management companies and asset managers who assessed current practices around Investment Book of Record (IBOR) and portfolio management. The white paper can be downloaded at http://www.eagleinvsys.com/learning-center/collateral.cfm.

The paper reveals that nearly half of the survey respondents believe it is presently quite difficult to adapt their organization's portfolio management infrastructure in the face of changing internal or external environments such as the integration of new systems, expansion into new product areas or asset classes, and changing rules and regulations or market trends.

The survey exposes that a quarter of data managers are not satisfied with their current portfolio management solution when it comes to sourcing, organizing and managing data.

The paper also discloses that more than half of organizations still use several different systems to compile an IBOR, potentially leading to inaccurate data and increased operational complexity. These companies are using anywhere between two and eight systems to complete the process of generating an IBOR.

"Our research reveals the difficulties many investment firms face and the importance of data management when it comes to efficiently and accurately managing portfolios," said Mal Cullen, Eagle managing director and head of the Americas and Eagle ACCESS(SM). "Many use numerous systems that they've either inherited through acquisitions or bolted-on as they've added new products or entered new geographies. This inevitably affects the speed and accuracy of reporting and decision-making."

"Firms should consider adopting a data-centric approach to their portfolio management and IBOR, where the investment data for all assets is available through a single, centralized database," Cullen added.

In recent years, IBOR has emerged as a valuable tool for investment managers, both in handling the abundance of information and meeting new financial regulations.  An IBOR uses information gathered from across the business to provide a consistent and accurate overview of a company's assets for enterprise-wide consumption. 

However, where underlying information is siloed, by asset class or geography for example, and multiple systems are used, producing an accurate IBOR can become hugely time-consuming and fraught with difficulty.  This has led to nearly one-in-three data managers concluding that effective management of the data required to produce an IBOR for their organization remains out of reach.

Waters Technology will host a breakfast meeting in New York on February 4, 2014 focused on defining, advocating for, and implementing an effective IBOR. Eagle's Mal Cullen will participate on a panel focused on best practices and guidelines for developing an IBOR capability. For more information, please visit: http://events.waterstechnology.com/bbibornewyork/static/agenda-2013

Eagle is committed to helping financial institutions worldwide grow assets efficiently with its innovative portfolio management suite of data management, investment accounting and performance measurement solutions that are delivered over its secure private cloud, Eagle ACCESSSM. Since 1989, Eagle has deployed trusted solutions and services that create operational efficiencies and help reduce complexity and risk. Eagle Investment Systems LLC is a subsidiary of BNY Mellon. Additional information is available at www.eagleinvsys.com.

BNY Mellon's Asset Servicing business supports institutional investors in today's fast-evolving markets, safeguarding assets and enhancing the management and administration of client investments through services that process, monitor and measure data from around the world. We leverage our global footprint and local expertise to deliver insight and solutions across every stage of the investment lifecycle.

BNY Mellon is a global investments company dedicated to helping its clients manage and service their financial assets throughout the investment lifecycle. Whether providing financial services for institutions, corporations or individual investors, BNY Mellon delivers informed investment management and investment services in 35 countries and more than 100 markets. As of December 31, 2013, BNY Mellon had $27.6 trillion in assets under custody and/or administration and $1.6 trillion in assets under management. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments. BNY Mellon is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BK). Additional information is available on www.bnymellon.com or follow us on Twitter @BNYMellon.

SOURCE Eagle Investment Systems LLC

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
"We do one of the best file systems in the world. We learned how to deal with Big Data many years ago and we implemented this knowledge into our software," explained Jakub Ratajczak, Business Development Manager at MooseFS, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Today, we have more data to manage than ever. We also have better algorithms that help us access our data faster. Cloud is the driving force behind many of the data warehouse advancements we have enjoyed in recent years. But what are the best practices for storing data in the cloud for machine learning and data science applications?
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
All zSystem customers have a significant new business opportunity to extend their reach to new customers and markets with new applications and services, and to improve the experience of existing customers. This can be achieved by exposing existing z assets (which have been developed over time) as APIs for accessing Systems of Record, while leveraging mobile and cloud capabilities with new Systems of Engagement applications. In this session, we will explore business drivers with new Node.js apps ...
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addres...
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage...
For years the world's most security-focused and distributed organizations - banks, military/defense agencies, global enterprises - have sought to adopt cloud technologies that can reduce costs, future-proof against data growth, and improve user productivity. The challenges of cloud transformation for these kinds of secure organizations have centered around data security, migration from legacy systems, and performance. In our presentation, we will discuss the notion that cloud computing, properl...
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
By 2021, 500 million sensors are set to be deployed worldwide, nearly 40x as many as exist today. In order to scale fast and keep pace with industry growth, the team at Unacast turned to the public cloud to build the world's largest location data platform with optimal scalability, minimal DevOps, and maximum flexibility. Drawing from his experience with the Google Cloud Platform, VP of Engineering Andreas Heim will speak to the architecture of Unacast's platform and developer-focused processes.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
The vast majority of businesses now use cloud services, yet many still struggle with realizing the full potential of their IT investments. In particular, small and medium-sized businesses (SMBs) lack the internal IT staff and expertise to fully move to and manage workloads in public cloud environments. Speaker Todd Schwartz will help session attendees better navigate the complex cloud market and maximize their technical investments. The SkyKick co-founder and co-CEO will share the biggest challe...
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the ste...
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the p...