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Functional Data Management: What makes data projects very costly and never-ending?

Missing the functional piece in a data project puzzle – The financial industry is going through a disruptive phase, in which buzzwords such as blockchain, big data and deep learning are enticing financial institutions to ride the technological wave. Solid data management is the foundation of these developments. Financial institutions not only have an internal drive to create this foundation, as this improves analysis and decision-making, but also face challenging regulations imposed by national and international supervisors.

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Between hype and swamp

The FinTech buzz is doing the rounds at Zanders too! But… what exactly does the hype mean for us treasurers and risk managers in the real world today? If your viewpoint is, like ours, that financial risks will continue to remain concentrated, very little changes really – apart from the dynamics of risk carriers’ balance sheets, of course, and the amount of related data at our disposal.

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European banking supervisors issued publications on fintech and Big Data

Recently, several European banking supervisors issued publications on financial technology (fintech) companies and big data.

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Machine Learning in Risk Management

Machine Learning for Financial Institutions Terms like big data, machine learning and data science are used in many fields of business. In recent years, also financial institutions have shown increasing interest in these subjects. The expectations are that the machine learning can assist with things such as compliance, credit underwriting, client communication and risk analysis. […]

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How Open Banking will Change the Banking Landscape

Technology has changed the way we interact with companies. Over the past decade, many industries have been disrupted by the likes of Uber, Facebook and Airbnb.1 The business model of banks, however, seems to have remained unaltered. The question is: will it stay that way?

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