About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Asset Managers Adopt Alternative Data and Advanced Analytics to Generate Alpha

Subscribe to our newsletter

Asset managers are adopting advanced analytics and alternative data to generate alpha and support client acquisition and retention, and business operations. The technology favoured for advanced analytics is machine learning, although natural language processing is also in the picture and smart robotic process automation is in trials.

Element22, a boutique data advisory firm, details adoption of alternative data and advanced analytics in a report sponsored by UBS Asset Management. The report, 2018 Analytics Power, discusses the results of a survey of 20 asset management firms in North America and Europe with combined assets under management (AuM) of $14.8 trillion, almost 20% of global AuM.

It notes that the survey participants are at varying stages of a four-year journey to develop robust alternative data and advanced analytics capabilities, and that some firms have reached an inflection point in generating alpha, improving business operations and increasing client acquisition and retention with alternative data and advanced analytics.

Predrag Dizdarevic, founding partner of Element22, says: “The benchmark study reveals broad-based experimentation with advanced analytics and alternative data across all types of asset managers. The leaders are realising substantial value from their programmes, especially in alpha generation, and we expect this to grow in the coming years. Newcomers should be as aggressive as possible in ramping up their programmes, otherwise they risk falling insurmountably behind the leaders which could be a key differentiator in the industry.”

Ulrich Koerner, president, UBS Asset Management, concurs, saying: “Amid an environment of downward pressure on fees, and an increasing shift from active to passive investment strategies, asset managers must find ways to differentiate themselves and remain competitive in the coming years. With more alternative data available than ever before the most successful firms will likely be those that leverage advanced data analytics solutions across their business to generate value for themselves and their clients.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Financial Institutions ‘Layering’ New Risks as Report Highlights Greenwashing Exposure

The number of financial institutions flagged for greenwashing climbed substantially in the past year, highlighting both the vulnerability of individual firms and the need to integrate greenwashing risk management into decision-making processes.. The sector remained the worst offender for overstating their progress or making vague or misleading claims, the report by sustainability risk data company...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Preparing For Primetime – How to Benefit from the Global LEI

They say time flies when you’re enjoying yourself, and so it seems the industry have been having a blast with its preparations for the introduction of the global legal entity identifier (LEI) next month. But now it’s time to get serious. To date, much of the industry debate has centred on the identifier itself: its...