• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Francis Analytics and Actuarial Data-Mining Services
 

Francis Analytics and Actuarial Data-Mining Services

on

  • 589 views

 

Statistics

Views

Total Views
589
Views on SlideShare
588
Embed Views
1

Actions

Likes
0
Downloads
0
Comments
0

1 Embed 1

http://www.slideshare.net 1

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Francis Analytics and Actuarial Data-Mining Services Francis Analytics and Actuarial Data-Mining Services Presentation Transcript

    • Francis Analytics Actuarial Data Mining Services Predictive Analytics Services Request for Information Presentation
    • Francis Analytics Actuarial Data Mining Services Qualifications • Fellow of the Society of Casualty Actuaries • 23 years’ actuarial experience • 3 award-winning papers • Extensive actuarial experience in multiple lines of business
    • Francis Analytics Actuarial Data Mining Services Experience • Direct modeling experience in multiple lines of business • Experience in multiple modeling methods, GLM, MARS, Neural Networks • Extensive modeling software experience
    • Francis Analytics Actuarial Data Mining Services Our Services • Modeling • Advice, guidance and training • Planning and Project Management
    • Francis Analytics Actuarial Data Mining Services Modeling • Dataset • Software • Methods • Validation
    • Francis Analytics Modeling Process Actuarial Data Mining Services Internal Data Data External Cleaning Data Deploy Other Model Preprocessing Build Model Validate Model Test Model
    • Francis Analytics Actuarial Data Mining Services Two Big Specialties in Predictive Modeling GLMS Data Mining Regression Logistic Regressions Poisson Regression Trees Neural Networks MARS Distribution for Severity/B10 Distribution for Claims/B3 1.400 Mean=100047.5 1.000 1.200 Mean=1.001 1.000 0.800 Values in 10^ -5 0.800 0.600 0.600 0.400 0.400 0.200 0.200 0.000 0.000 0 125 250 375 500 -1 0 1 2 3 4 5 6 7 Values in Thousands 5% 90% 5% 0 3 90% 5% .5944 328.9876
    • Francis Analytics Actuarial Data Mining Services Complexities Affecting Insurance Data • Nonlinear functions • Interactions • Missing Data • Correlations • Non normal data • See www.data-mines.com
    • Francis Analytics Actuarial Data Mining Services Advice and Guidance • Data Development • Software selection • Mathematical methods • Model building and validating • Integrating • Maintaining
    • Francis Analytics Actuarial Data Mining Services Training • Training Plan • Live workshops • Software use
    • Francis Analytics Actuarial Data Mining Services Planning • Project Parameters • Choices • Dependencies and constraints • Deliverables
    • Francis Analytics Actuarial Data Mining Services Project Management • Scoping • Project Plan and Schedule • Project Phases and Deliverables • Communications
    • Francis Analytics Actuarial Data Mining Services Contracting • Proposal and Agreement • Schedule • Project fees and expenses
    • Francis Analytics Actuarial Data Mining Services Thank you Please contact Francis Analytics at consulting@data-mines.com