Estimate Technology Spending for Asset Managers, 2005-2016

1/24/2019, 1:30 PM (Source: GlobeNewswire)

Dublin, Jan. 24, 2019 (GLOBE NEWSWIRE) -- The "The Context Machine: Estimating Asset Manager Technology Spending" report has been added to ResearchAndMarkets.com's offering.

Technology strategy and business strategy are becoming one and the same. Any lingering gaps between them are closing-front to back, top to bottom, and across the entire business segment spectrum. Many firms born in the analog era - with long legacies of high-touch offerings - are rebranding themselves as technology companies.

And yet, for all the promise of the revolutions in artificial intelligence, cloud, and big data, attempts to forge a greater understanding of the interplay between technology and business strategy meet with unique challenges. Most players in this ecosystem are still using dull intelligence tools to navigate this rapidly changing and increasingly techno-centric landscape.

The report set out to influence this dynamic in a new direction, starting with one simple, yet increasingly germane, question: What do banks spend on technology? After all, understanding technology consumption patterns offers unique insights into shifts in both business strategy and operational efficiencies.

The report starts there because banks provide more access to financial and operational data than does any other player in the financial services ecosystem, thanks to regulatory filings and other periodic reporting. They also happen to be the largest absolute consumers of technology in the ecosystem, so they made sense as a starting point. In the end, the attempt to answer this question generated numerous insights and valuable comparative intelligence about business strategy implementations in the global banking sector.

As such, the initial work has already paid dividends in the global banking arena, highlighted by the early development of T-Greeks operational benchmarking framework-particularly in the discovery of T-Spread productivity analytic - and the introduction of the concept of return on technology. It was known from day one that the main challenge in answering this question for the asset management universe was always going to be that these firms are mostly private, if not highly secretive; therefore, accessing the right data was going to present some challenges. How would we answer the question of what asset managers spend on technology?

Synopsis

  • Technology strategy is becoming business strategy.
  • Measuring technology spending amplifies critical navigational intelligence; a term used to specifically emphasize impact for organizational transformation.
  • For the asset management universe, current tools to measure technology spending are ineffectual.
  • This publisher has developed a method to estimate technology spending for asset managers in cases when there is unobservable data and to enhance contextual understanding of observable data.
  • This methodology's success hinges on this question: How do managers scale?
  • Manager scaling is quantified by the ratio of assets under management (AUM) per employee (e)-known herein as human capital leverage (AUM/e).
  • This report offers this hypothesis: There is a persistent relationship between AUM, technology spending, and headcount (e) whereby human capital leverage and technical leverage (TCO/e) move inversely as AUM changes. (In the context of this report, total cost of ownership (TCO) and total technology spending are used synonymously.)
  • Factor relationships are persistent because there are only two engines of productivity (IT and human capital), meaning technology spending can be deduced from human capital leverage.
  • As AUM changes, new strategy choices may need to be made, and these choices represent the greatest governing impact on the shift in human capital allocations, thereby enhancing the persistent nature of the factor relationships.
  • In this study, data from 158 companies over the period of 2005 to 2016 is used to validate the hypothesis and construct a benchmarking framework.
  • Study findings offer numerous practical applications to both technology buyers and solution providers as well as a roadmap for the framework's future development.

Key Topics Covered:

1. Synopsis

2. Introduction

  • Hypothesis
  • Methodology

3. Table of Contents

4. Table of Exhibits

5. Setup

  • Benchmarks
  • Data Set
  • Overview

6. Technical Leverage Benchmark

  • Proxy Categories For Technology Spending
  • Market-Makers, Broker-Dealers, and Other Specialists
  • Asset Managers and Technology Spending
  • Assembling Technology Spending Segments

7. Human Capital Leverage Benchmark

  • Scaling the Business
  • Segmentation Analysis
  • Assembling Asset Manager Segments

8. Context Machine

  • Assembled Framework
  • The Map

9. Practical Applications

  • Case Study on Estimation: The Quant Gods
  • Case Study on Explanation: There's Something About Och-Ziff
  • Case Study on Recommendation: Exposing Franklin Templeton's Challenge
  • Case Study on Location: Discovering Intelligence About Manager X

10. Conclusion

  • Next Steps
  • Closing Thoughts

11. Appendix

Companies Mentioned

  • Aberdeen Asset Management
  • Adams Street Partners
  • Advent International
  • Aegon Asset management
  • Affiliated Managers Group
  • Alliance Bernstein
  • American Securities
  • Ameriprise Financial
  • Amundi Asset management
  • Anchorage Capital Group
  • Apollo Capital Management
  • Angelo, Gordon and Co.
  • Ares Management
  • Aurora
  • Aviva
  • Balyasny Asset Management
  • Bayview Asset Management
  • Berkshire Partners
  • Bank of New York Mellon
  • BGC
  • BlackRock
  • Blackstone Group
  • Bluecrest Capital management
  • BNP Paribas Asset Management
  • Bracebridge Capital
  • Brookfield Asset Management
  • Calamos Asset Management
  • Carlyle Group
  • Caxton Associates
  • Canyon Capital
  • Capstone Investment Advisors
  • Carlson Capital
  • CarVal Investors
  • Cheyne Capital management
  • Citadel Advisors
  • Clayton, Dubilier and Rice
  • Coatue Management
  • Colony Northstar
  • Crescent Capital Group
  • D. E. Shaw
  • Davdison Kempner Capital Management
  • Charles Schwab
  • Deutsche Bank
  • Ellington Management Corp.
  • Eton Park Capital Management
  • Farallon Capital Management
  • First Reserve
  • First State Investments
  • GC Advisors
  • GCM Grosvenor
  • E*Trade Financial
  • Eaton Vance
  • Federated Investors
  • Flow Traders
  • Fortress Investment Group
  • Franklin Templeton
  • GAM
  • GAMCO
  • Goldman Sachs
  • ICAP
  • IGM
  • Interactive Brokers Group
  • Invesco
  • Investment Technology Group
  • JP Morgan
  • Janus
  • Jefferies Group
  • Jones Financial
  • KCG
  • KKR
  • Lazard Asset
  • Legal & General Group
  • Legg Mason
  • Man Group
  • Morgan Stanley
  • Nataxis (Global Asset Management)
  • Northern Trust
  • Oaktree Capital Group
  • Och-Ziff Capital Management Group
  • Old Mutual
  • Oppenheimer Holdings
  • Platinum Asset Management
  • Prudential Financial
  • Raymond James Financial
  • Schroders
  • SEI Investments Company
  • State Street Corp.
  • T Rowe Price Group
  • Tetragon Financial Group
  • UBS
  • Virtu Financial
  • Waddell & Reed Financial

For more information about this report visit https://www.researchandmarkets.com/research/qblvlm/estimate?w=12

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