| SGF |
2020 |
Pricing Life Insurance Contracts with Early Exercise Features Using Neural Networks |
Helgard Raubenheimer |
source |
9 |
| MWSUG |
2019 |
Classifying Risk in Life Insurance using Predictive Analytics |
Sai Gopi Krishna Govindarajula |
|
6 |
| SGF |
2017 |
Dataninjas: Modeling Life Insurance Risk |
David Allen,
Seung Lee |
source |
7 |
| SGF |
2017 |
Using Graph Analytics for Predictive Modeling in Life Insurance |
Robert G. Moore |
source |
6 |
| SGF |
2011 |
Quantitative requirements for non-life insurance under Solvency 2 |
Sverre Grevskott |
source |
8 |
| SEUGI |
2003 |
ICT Service Management Reporting [presentation] |
Albert Jacobs |
source |
46 |
| SEUGI |
2002 |
Financial Risk Management within the Generali Group: a structured approach [presentation] |
Paolo Pirona |
source |
28 |
| SEUGI |
2002 |
IT as a Driving Force for Business Innovation in Slovak Insurance [presentation] |
Oto Maly |
source |
49 |
| SEUGI |
2002 |
Outcome on a bank sales campaign based on scoring list [presentation] |
Gianluca Bo |
source |
20 |
| SEUGI |
2002 |
SAS Environment-Based Data Analysis [presentation] |
Marin |
source |
27 |
| SUGI |
2002 |
The Benefits of Data Warehousing for an Insurance Company |
Wolfgang Hofbauer |
source |
6 |
| SEUGI |
2001 |
Preventing surrender by holders of life insurance policies [presentation] |
Gerhard Braas |
source |
20 |
| SEUGI |
2001 |
Sales Tools in BANCAJA For A Multi-Channel And Customized Distribution of Financial Services [presentation] |
Jose M. Narciso |
source |
16 |
| SEUGI |
2001 |
Strategic Financial Management at PZU Life: Business Benefits from Data Warehouse and CFO Vision Integration [presentation] |
Marek Wilczewski |
source |
42 |
| SEUGI |
2000 |
An ordered list of customers for a new Bank: scoring with EM 3.0 [presentation] |
Flavio Bonifacio |
source |
14 |
| SEUGI |
2000 |
Benefits From Merging Datawarehouses [presentation] |
Jurgen Wielandts,
Sophie Ceyssens |
source |
18 |
| SEUGI |
2000 |
From the client datamart to the corporate data warehouse [presentation] |
Daniel Csikos |
source |
19 |
| SEUGI |
1999 |
A balanced scoredcard for an insurance company base on SAS Software [presentation] |
Ludwig Fruhauf |
source |
39 |
| SEUGI |
1999 |
Effective data warehousing - optimised MDDB in practice [presentation] |
Jacek Kaukiel |
source |
28 |
| SEUGI |
1999 |
Internet as an evolutionary tool of the information system [presentation] |
Giovanni Maio |
source |
30 |
| SEUGI |
1999 |
Reporting is a-changing [presentation] |
Markku V. Suni |
source |
19 |
| SEUGI |
1998 |
Covering technical provisions at Verlandi Group |
Ingrid Tolvas,
Jukka Korva,
Peter Volin |
source |
5 |
| SEUGI |
1998 |
Danske Data A/SAS software does not have any problems with the Year 2000: But how do we go about finding and correcting our own "sins" of not using SAS data [presentation] |
Per Odgaard |
source |
28 |
| SEUGI |
1998 |
Data mining as a tool for Customer Selection [presentation] |
André Hønsvall,
Nils F. Haarvardsson |
source |
20 |
| SEUGI |
1998 |
Database marketing applications in the Italian banking sector |
Alberto Saccardi,
Guido Cuzzocrea |
source |
8 |
| SEUGI |
1997 |
Managing an insurance portfolio for profit and growth |
Harold Clarke,
Keith Chandler |
source |
19 |
| SUGI |
1997 |
Fuzzy Logic and SAS Software - Do they work together? |
Markku V. Suni |
source |
5 |
| SEUGI |
1995 |
AMIS: Developing a Data Warehouse for Actuaries |
Jan Willem van der Grijp |
source |
10 |
| SUGI |
1993 |
Support for Sales Figures Analyses with VIPAS at Deutsche Bank Life Insurance |
Berthold Kerl,
Wolfgang Scholz |
source |
14 |
| NESUG |
1992 |
Using SAS to Generate Reports to Evaluate the Output of Virus Scans |
Debbie Hoppe |
|
7 |
| SEUGI |
1992 |
Support for Sales Figures Analysis with VIPAS at Deutsche Bank Life Insurance |
Berthold Kerl,
Wolfgang Scholz |
source |
11 |
| SUGI |
1989 |
Most Creative Use of the Software-Monochrome |
Leslie Worf |
source |
116 |
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