Posts by: Jeremy Skaling

Jeremy Skaling is responsible for overseeing the Product Management team at Eagle. In this capacity, Mr. Skaling directs a team of product managers who are charged with developing and delivering strategic product plans to support Eagle's solutions for data management, accounting and performance measurement. Mr. Skaling joined Eagle in 2000 and has more than 13 years experience in the financial services industry.Since joining Eagle, Mr. Skaling has worked in product development, sales, and product management groups.In his prior role as manager of sales engineering, Mr. Skaling supported Eagle's global sales strategy. Mr. Skaling earned his Bachelor of Science in Finance and his MBA from Bentley University.

Decaying Platforms: Addressing the Growing Risks Posed by Outdated Portfolio Management and Accounting Systems

 

A confident businessman with briefcase walking ahead on a tightrope in empty grey urban space conceptAt recent Eagle Investment Systems client events in Chicago and Toronto, Citisoft COO Tom Secaur and Accenture Principal Michael Kerrigan offered their take on why so many asset managers have put off replacing their legacy systems, even as the enterprise risks grow with every passing year.

 

Jeremy Skaling, Managing Director, Global Head of Marketing


The challenge for many asset managers is that it can be difficult to actually define what a legacy system is. Unlike an automobile, there is no odometer from which to measure the lifespan. The most widely accepted definition is that a legacy system describes a platform or a vendor that can no longer keep pace with the growth of the business or evolution of the markets. It might be an internally built system that is no longer fit for purpose; it could be a platform running obsolete technology; or, in this era of consolidation, it could be a vendor that is effectively sunsetting a platform through inattention and waning R&D. The result? Years of customizations and patchwork modifications become twisted and dangerously intertwined. Sooner or later, the negative impact—be it poor data quality, operational inefficiencies or the inability to accommodate new products—can be felt throughout the investment management organization.

“You’ll see an accounting system sitting in the middle of an organization with point-to-point interfaces going everywhere…It’s a warehouse, a client-reporting system, an internal reporting system, it generates analytics, keeps pricing history, you name it,” Citisoft COO Tom Secaur described at the recent Eagle client event in Chicago. While Rube Goldberg would be proud, the prevalence of legacy systems actually represents one of the biggest threats facing many asset managers today.

At one point in time, these systems were likely fit for purpose and may have even been considered cutting edge at the time of their implementation. Fast forward 10, 15 or in some cases 30 years, however, and many of these systems today have not received the requisite investments to remain relevant. This is becoming even more apparent and the impact more pronounced as the engineers that developed the original technology and code hit retirement age, which leaves precious few professionals available who understand how to patch these systems as needed in order to keep them alive and functioning.

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TSAM Recap: Managed Services Becoming Key Piece in Data Quality Puzzle

Jeremy Skaling, ‎Managing Director, Head of Product Management


meetingData quality was in focus at TSAM New York in June. In a panel on the topic—as part of a discussion that ranged from data lineage to data domains—I had the chance to highlight the continued focus within investment managers to employ data management best practices. These best practices include a comprehensive data governance program that aligns business owners with technology solutions and service providers.  By deploying best practices, firms find that data management can be as much about ensuring data quality as it is about finding new efficiencies. As a result, we are increasingly seeing that investment firms are considering new ways to integrate managed services into a more comprehensive data governance strategy.

As I underscored at TSAM, much of this has to do with the need for flexibility and agility, which are critical in today’s complex data environment, particularly in an industry as dynamic as financial services. Investment firms must have the right processes and disciplines in place to truly manage and govern their data.

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Engage 2015 Coverage: Investing for Growth

Stephen Johns, Manager of EMEA Services Delivery EIS


It’s an age-old question: what comes first, growth or the capital investments that drive growth? At a panel Tuesday morning, “Growing Assets Efficiently,” four executives discussed their approach to this strategy question and highlighted that while it can be difficult to make the leap and overcome certain challenges that come with doing so, their investments to gain control of their data have indeed paid dividends across their businesses.

A survey cited during the panel seems to imply that most organizations in banking and finance still view IT and technology as merely a cost of doing business. Indeed, 67% indicated they are increasing their “lights on” IT spend, while only 20% view this as an investment geared for growth. It’s no wonder that nearly one in three do not believe their IT budget meets an expected ROI, and, among those polled, the average spend on technology came in below 7% of revenue.

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User Adoption = Business Value

Jeremy Skaling, Managing Director, Head of Product Management

As a software provider, Eagle understands the correlation between business value and user adoption. The software procurement process can go smoothly, but if the users don’t adopt it, the business cannot realize the full value from its investment. The good news is that user adoption is not a random variable in the equation, but an outcome designed, in large part, by User Experience (UX) best practices that are backed by cognitive science. Read More…

Avoid Common Pitfalls in Data Quality Programs

Jeremy Skaling, Head of Product Management


Recently I participated on a panel at an industry event where the group was asked to comment on common pitfalls with data management projects. I identified three key challenges that firms face:

  • • Not having proper data governance plans and organizational support
  • • Implementing data checks at the wrong location and/or having the wrong people reviewing them
  • • Not tailoring data quality checks to a company’s business or the needs of the consumers

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Going Mobile: Mobile Investment Data at Your Fingertips

Jeremy Skaling, Head of Product Management


If you find yourself glued to a smart phone or tablet, you are not alone. Last year, mobile data spending outpaced voice expenditures for the first time. If the general population is consuming most data via mobile devices, it’s naturally where individuals will gravitate to monitor investment data. In anticipation of this shift, we have made strides in bringing investment management software to your fingertips. Last year, we started working with MicroStrategy® Incorporated to integrate the MicroStrategy Business Intelligence Platform™ with Eagle’s portfolio management solution. With this collaboration, Eagle clients will be able to access highly visual dashboards and portfolio data on the web, on mobile devices, or via Microsoft Office applications to perform portfolio analytics and in-depth risk and performance analyses.

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