Featured articles

Data governance: ensuring a responsible industry and accountable enterprises

Data is the lifeblood – the key assets – of investment management companies. Hence, the overall data management objective is to control, protect and maximise the value of your data assets to achieve and sustain competitive advantage.

by Klaus Holse, SimCorp

Meeting the data management challenge: 10 less than easy steps to control data assets

Data has always been a vital ingredient for investment management. In a changing financial landscape, however, the need for data quality is assuming increasingly critical proportions and hence a higher profile.

by Howie San, SimCorp

Enterprise data management: ensuring trust in data and maximising its value

The practice of enterprise data management (EDM) has attained a certain degree of maturity among many investment management companies.

by Michael Atkin, EDM Council

Best practices: learning from the pioneers in financial data

Strikingly, all the data management recommendations investment management firms are striving to follow are actions already perfected by market data companies over the years, i.e. vendor management, multiple sourcing, cleansing, security and more.

by Michael Metcalfe, Journal of Applied IT & Investment Management

Corporate best practice: integrating data management in the operational platform

Why is data management so important in the day-to-day operations of an investment management firm and how does it best go about getting the most from its data management resources?

by Jacob Elsborg, ATP Investment Area
and Jesper Lorenzen, ATP Investment Area

The investment book of record: one version of truth from front to back office

Portfolio managers and traders rely on high quality and up-to-date position data to make the right investment and trading decisions. An IBOR could be the answer.

by Marc Schröter, SimCorp

The silo effect: losing the game with a decoupled IT strategy

The phrase ‘silo effect’ refers to a lack of communication and common goals between business units, which prevents companies from efficiently responding to changing demands and opportunities.

by Stephen Murer, Credit Suisse

New challenges for operational risk after the financial crisis

Managing operational risks efficiently has become crucial, especially in times of crisis and financial turmoil.

by Professor Caspar Rose, Copenhagen Business School

Challenges in the front office: new regulations force derivatives market overhaul

Evident during the recent financial crisis, and in the context of current regulatory reform, is the high level of systemic...

by Brent Rossum, SimCorp

Data governance: key contributor to successful data management strategy

While Investit research shows that 60% of firms are worried about their ability to support data management growth, data responsibility often has a low organisational profile and data tends to be maintained rather than managed.

by John Robertshaw, Investit’s Operations Practice