User Acceptance Testing (UAT) can throw projects into a frustrating and mind-numbing stall, which is catastrophic to any transformation. The terror of botching a go-live event with insufficient data commonly leads users into a frenzy of checking, double-checking, approving, re-checking, and reapproving. As the process repeats across test cases, progress toward user confidence seems negligible.Read Full Article
Are you looking to stand up or revise a data catalog? Is understanding your data one of your company’s goals or principles? Understanding the full scope of your data involves a top-down understanding and a bottom-up inventory. This provides valuable insights into your current state to enable multiple efforts to be launched at your firm, but who has the time? The new methodology developed using AI technology and industry expertise reduced the time and client resources required to inventory data and stand up a catalog to a fraction of the normal amount. In this paper, we share the methodology and tools to help you achieve your firm’s goals both effectively and efficiently.
by Andrew Jacob, CFA, Senior Consultant
Kevin Coffin, CIPM, Zengines, Head of Customer Success
Consider the irony… Performance departments exert their time and energy to calculate performance results that inform consumers of the impacts of their decisions on investments. Though Performance executes complex calculations and solves firm-wide data challenges for consumers’ benefit, oftentimes they forget to measure the most important performance of all… their own. This fourth installment of the Performance is Data Series explores exactly how Investment Performance teams can embark on a key performance indicator (KPI) centered approach to measure more than just the performance of others and introspectively assess operations.
by Clay CorcimigliaRead Full Article
Firms are constantly in flux. Day-to-day challenges and the pressure to meet existing SLAs often take center stage in business operations. Expansion of business models, increased service alternatives, and new technology solutions are pushing firms to transform their existing paradigm. The concept of an optimal model seems to allure many. Pure ‘strategy-led’ transformations typically run into years and most benefits manifest at the long end of the spectrum. A data-driven approach mitigates many risks that extend or abandon transformations.
by Jose Michaelraj, CIPM, CAIARead Full Article
In the fast-paced world of investment asset management, accurate and timely data is crucial for informed decision-making. Data pipelines serve as metaphorical vehicles that facilitate the movement of data from its source to delivery points. Traditionally, investment asset management firms have relied on multiple pipelines for different data sources, resulting in complex and cumbersome processes. This paper explores the concept of modern data pipelines in investment asset management, their advantages over traditional pipelines, and best practices for their implementation.
by Andrew Jacob, CFARead Full Article
Reduce Risk and Enable Scalability in Derivatives Processing by Modernizing Processes and Technology
The accumulation of temporary workarounds in back and middle office operations can pose significant risks to firms. As new opportunities arise, scalability is often hindered. Fortunately, new vendor capabilities have made it easier to modernize these operations by integrating applications into IBOR or conducting a complete re-platforming exercise. Read this article to learn how to best utilize derivatives for modernizing operations.
by Jake Daly-Leonard, ConsultantRead Full Article
Have you selected a new investment operations system to replace your legacy technology and manual workarounds? Or have you decided to outsource investment operations to a service provider?
Both efforts are significant and likely the largest efforts your part of the organization has ever seen. Are you making the right decisions? Or do you need a golden opportunity to advance your business and improve the way you work? Here are three red flags you’re overlooking business transformation opportunities.
by Brian Lollar, Managing DirectorRead Full Article
Building and implementing a data glossary are two common goals for many investment firms in their annual strategy setting. But what happens when you rush into it without proper planning? Four common mistakes can occur which can hamper your development or make the final product irrelevant. This paper will discuss these missteps and offer prevention strategies.
by Andrew R. Jacob, CFA, Senior ConsultantRead Full Article
Market data is like a river that flows through an investment firm’s landscape, supplying the essential data to function and operate competitively. Exchanges and vendors that own and provide this data often charge a premium due to its exclusive nature. The way investment firms acquire this data is via market data contracts, which may carry restrictions that seem onerous. In this paper, we will discuss the nature of these restrictions and four approaches to handling them.
by Andrew R Jacob, CFA, Senior Consultant
Jose Michaelraj, CIPM, CAIA, Manager
Now more than ever, investment managers are outsourcing the responsibility of improving operational efficiency. Service providers taking on this task have enhanced their offerings over the last several years to accommodate the ever-changing complexity of the financial services industry. As such, your firm will need a focused due diligence effort to assess the available options in the marketplace. This includes evaluating the capabilities of different market solutions, the ability to configure versus customize, the overall operational model and, most important, assessing your readiness for the transformation itself. Meradia’s consultants leverage their decades of outsourcing experience to provide a framework for your firm’s next outsourcing project.
by Tom McCorkell, Senior Manager
Jeremy Welch, Manager