To gain an advantage in today’s hyper-competitive world, asset managers must not only evolve their operations, but they must also discover new ways to leverage them. Managers must be operationally adept; particularly in a business that grows more costly and complex, they need an infrastructure that will equip them to better meet client needs, satisfy regulators and compete more effectively.
When reviewing middle-office outsourcing proposals, this comment is not uncommon. However, the inclination to evaluate outsourcing by extrapolating in-house operating budgets and comparing them to outsourcing proposals is an insufficient method for determining the total value of a proposed outsourcing relationship.
The first wave of middle-office outsourcing deals came on the heels of the the credit crisis in 2008. Given this timing, it should come as no surprise that the origin of these first generation deals was driven by cost savings. At the time, middle-office operations was viewed as a necessity but also a cost centre.
An asset manager’s decision to change their operating model and outsource their middle office to a service provider should not be made in haste. From building internal consensus to carefully designing an evaluation process, selecting the best fit for an outsourcing partner is a significant investment.
Digital transformation: Science, not fiction - Science fiction is a beloved and enduring genre largely because of technology’s transformative potential. The best examples leverage this to the hilt and extract as much dramatic tension as possible from the situation.
SEI Podcast Series: How are advances in data analytics enhancing both the investor and the investment experience?
The amount of data is growing exponentially. According to IDC, there were 16.3 zettabytes of information generated in 2017 alone. In simple terms, if every piece of data were a penny, it would cover the earth’s surface five times over.
As discussed in the first part of our discussion with SEI on the potential of natural language processing (NLP) – click here to read – the company is currently in the early stages of exploring how NLP might enhance the way staff and clients interact with data. The aim of this initiative is to increase the overall level of engagement and grant users the flexibility to choose their preferred method of navigating information.
Natural language processing (NLP) is changing the way humans interact with machines in ways that were unthinkable a decade ago. Thanks to huge advances in machine learning, driven and supported by ever-faster computer processing, we are increasingly using NLP tools such as Amazon Alexa, Siri, Google assistant, Cortana, Bixby, and interacting with chatbots from our service providers.
When it comes to technology adoption and innovation, compared to other industries financial services is merely scratching the surface. Dipping its toe in. Engaging in proofs of concept but rarely integrating new solutions across multiple geographies.
Technology continues to infiltrate every aspect of global business. Not a day goes by where the impact of platforms like Amazon, Facebook etc, isn’t felt by those in the asset management industry. The fact is, investor habits are rapidly changing and the way they choose to invest is beginning to mirror the way they use technology to support all other aspects of their lives, from shopping online to algorithms providing recommendations, personally curated to them, on Netflix.