Instantaneous vs gradual conversion from DB to DC. By Roel Mehlkopf (Cardano, Tilburg University) Download presentation
Interactive sessions
Round I:
Why we focus on data quality: The steps and calculations of the transition process. By Lieke Werner (Achmea) Download presentation
To check or not to check: The challenges in the scoping of a data quality project. By Inge Lodder (ELAVV) Download presentation
Case: How modelling helps you to a 100% score on data quality. By Linda de Koter (Axini) Download presentation
Copilot: Data Quality engine developed by Triple A. By Daan Nijssen & Hen Veerman (Triple A) Download presentation
Round II:
Unravelling data quality demands: How to keep it simple? By Edward Roozenburg & Amba Zeggen (Probability & Partners) Download presentation
Outlier detection in pension asset data. By Iris Nonneman (DNB) Download presentation
The relationship between Data Quality and Artificial Intelligence In the light of the new pension scheme in the Netherlands. By Aron Jeurninck (AethiQs) Download presentation
Bridging the Data Quality Gap: Integrating Traditional and Modern Techniques for a Seamless Pension Transition. By Frans Kuys & Marino san Lorenzo & Bence Zaupper (Finalyse) Download presentation
Student sessions
Unpacking the WTP act and resulting opportunities for insurers. By Goran Lapchev & Sarah Fox (a.s.r.) Download presentation
Why are the data quality requirements important? By Hinke Galle-Visser & Rene van Pul (Deloitte) Download presentation
