FIMA Europe 2016

02 - 03 November, 2016

QEII Conference Centre, London

Contact Us: +44 (0) 207 036 1366

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  • iMeta Technologies - Onboarding and Client Lifecycle Management iMeta Technologies - Onboarding and Client Lifecycle Management
    This document outlines how to tackle compliance risks during the client onboarding process; to improve automation, integration, operational control and customer service.
  • EY - The science of winning in financial servicesEY - The science of winning in financial services
    This report shows the results of confidential survey data across banking, capital markets, insurance and wealth and asset management. These results have been supplemented by interviews with senior individuals across the Americas and Europe who give their insights on the role that data and analytics are now playing in their businesses.
  • Why Data Privacy Is The Ticking Time Bomb Why Data Privacy Is The Ticking Time Bomb
    Financial institutions, consumer and business customers share growing demands on the handling of their data. Indeed, having control over the use and storage of data has evolved from a hope to an expectation.

    The consequences of a data breach are no longer reputational alone and firms can equate actual business impact to poor data security or handling processes.

    This article was first published by Financial IT, you can access the full magazine here

  • Big Data & The Buy-SideBig Data & The Buy-Side
    It is a growing challenge to gather data from disparate sources and produce the required reporting quickly and accurately. Big data technology can be a great help in aggregating data from multiple systems – trading systems, accounting systems, data providers and so on. It can also be a great help in ensuring that all the data ends up in  useable format for reporting purposes or for dashboard visualizations.

    This article was first published by Financial IT, 
    you can access the full magazine here
  • Sapiens - Decision Modeling Sapiens - Decision Modeling
    Decision modeling is a core aspect of the Decision Management market. The two main standards in the field, Decision Model and Notation (DMN) and The Decision Model (TDM), are related, yet they are sometimes seen as competing. In reality, they are complementary approaches to a similar challenge; both TDM and DMN evolved from a desire to visually represent the relationship of Decision Logic elements for a variety of purposes. This paper will explain where DMN and TDM are the same and where they differ and will also introduce the Business Decision Maturity Model.
  • Risks and Challenges of Leading Reference Data Professionals – Industry Report 2014Risks and Challenges of Leading Reference Data Professionals – Industry Report 2014

    This benchmarking industry report (conducting with over 50 leading reference data professionals)  clearly demonstrates the rising importance being placed on data quality, which is not surprising given that improved data quality increases operational efficiency as data managers have to spend less time fixing the data. Quality and efficiency both assist with regulation, which increased in importance among respondents from 2013 to this year – not surprising given all the compulsory, and often, time consuming, work around MiFID and EMIR.

  • Clean Databases | Reality Or Fantasy?Clean Databases | Reality Or Fantasy?
    In September 2014, WBR Digital in conjunction with Hatstand; Specialists in Financial Technology surveyed Data Managers from the top 100 Financial Institutions across Europe, with the aim to examine where data managers are in terms of regulatory compliance & database management.