In today’s highly competitive market, Fund Treasury departments are being asked to execute the seemingly impossible task of meaningfully bending the cost curve of their operations, while balancing ever-increasing regulatory requirements, business risks, and product complexities. To meet these challenges, Olmstead believes that fund oversight must transform from a traditional process-based operating environment to a data-centric, risk oriented control model.
When was the last time you thought about service provider oversight? If you’ve experienced a significant error event, noticed a decline in service quality, anticipated a cost-benefit that hasn’t materialized, or have existing SLAs and KPIs that could be more clearly defined, then you’re probably thinking about oversight, and you’re not alone.
Olmstead and Seismic Collaboration Poised to Consistently Accelerate Client ROI
Olmstead Associates is pleased to announce its data and consulting partnership with Seismic, the market leader for sales enablement platforms. In support of Seismic implementations and growth for asset management clients, Olmstead has developed tools and an approach that optimizes implementation, resulting in increased ROI and scalability. Refined from over 10 years of managing client communication solution evaluations and implementations, Olmstead has created best practices around implementation playbooks, distribution data models, APIs, and Data Readiness assessments.
Agility is a critical characteristic for asset management operations teams and is defined by their ability to adapt and flex their operating model to absorb change resulting from the following:
In continuation of the Digital & Data-Driven Asset Manager Insight Series and in response to inquiries from our our clients on “how do we become data-driven?” we address the critical success factors at both the executive and the execution level.
Asset managers see the potential for data science to generate alpha and increase sales but many struggle to achieve results. Investment models, alternative datasets, predictive lead generation analysis, marketing campaigns, client content, and more will continuously evolve as asset managers search for the winning or differentiated formula.
To become a data-driven asset manager, firms must attract a new data savvy workforce. Our industry has always enjoyed the success of being able to recruit top talent from colleges. Recent graduates have gained experience creating data solutions using Python, big data, statistics, and the cloud and are perfectly prepared to help us achieve our ambitious data strategies. However, there is one big problem – our data platforms are not ready.
How does the asset management industry adapt and thrive in the age of digital disruption? In an upcoming series of Olmstead Insights focusing on Digital & Data-Driven Asset Management, we will explore the critical role data plays at the heart of the digital transformation.