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.
If you are like me, you have solicited multiple bids for a home improvement project where cost has often started out as the leading driver for selecting a contractor. However, as the project progresses you quickly realize there is more to a project than simply the price. As construction delays pile up, phone calls go unreturned and your frustration grows, buyer’s remorse may set in. While cost is important, there are other required attributes such as reliability, responsiveness, quality, creative solutioning, and meeting agreed upon deadlines when selecting the right partner. The same is true in selecting a custody and fund accounting business partner.
The multi-affiliate operating model is increasingly under review as asset managers seek synergies from their infrastructure to bolster their margins. Whether firms have intentionally structured a multi-affiliate business model or possibly find themselves running multiple platforms due to acquisitions, these redundant platforms are obvious targets to drive organizational agility while improving margins. Some of the initiatives intended to rationalize the models have been announced publicly and their stories highlight the need to have a clearly defined roadmap, buy-in across the impacted entities, and measurable goals defining success.
In a recent conversation with an executive from a leading client reporting provider, the discussion turned to Olmstead's latest blog on the subject "Data Tax." The executive revealed that they frequently experience a drag of at least 25% on their projects due to data issues. The conversation highlighted an interesting tension that every investment manager must face when embarking on client communications and sales enablement projects – how do you identify and address looming data pitfalls and sinkholes without overly delaying the delivery of business benefit?
An investment manager is a complex web of data. In a data-intensive industry, few firms have mastered their reference data to create a single view of their “data truth” and even fewer firms have solved the single data platform to meet the needs of front, middle, and back office, distribution, and corporate functions. With data science being added to the mix, the data landscape has become increasingly more complex and also exciting, elevating data from operational efficiency to alpha generation. With data at the heart of all investment business functions, an under-performing data platform impacts business results.
Olmstead Associates is happy to announce the addition of Edward Bolles to our leadership team as Managing Director, Data Management & Analytics to continue to strategically build out Olmstead’s data-centric consulting capabilities. Ed brings over 25 years’ experience and perspectives accumulated at Hartford Investment Management (HIMCO), Invesco, Time Square Capital Management, Cigna Investments, SS&C, and The Hartford.