Main uses of data
F - financial control I - investment R - risk management E - experience analysis S - statutory returns P - premium rating A - accounting and administration C - determining contributions E - experience statistics
P - product costing,
I - management information
M - marketing
P - setting provisions
2 Main sources of data
- internal data
Poor data can be due to… (2)
The actuary’s data quality assertions will regularly be checked by looking at (11)
Using previous data and movement data, do RECONCILIATIONS of:
CONSISTENCY between:
OTHER
Issues causing heterogeneous data in industry-wide data collection schemes
4 Additional problems with large data collection schemes
Assertions to be examined
4 Causes for the lack of ideal data
Main aim of risk classification
-To obtain homogeneous data.
-The reduction of heterogeneity within the data for a group of risks so:
o The experience in each group more stable and
characteristic of that group
o Enables the data to be used more appropriately for
projection purposes.
All sources of data
T - Tables R - Reinsurers A - Abroad I - Industry N - National Statistics E - Experience from own contracts R - Regulatory Reports & Company Accounts S - Similar Contracts
What do we mean by “good quality data”
Checks on data:
Checks
• Detailed Audit • Reasonability Checks: ---- Averages ---- Impossible values ---- Outliers ---- Consistency over time ---- Check Asset data vs Liability data • Spot checks ---- Particularly on the "big ticket" items ---- random
Checks on data:
Valuations
Assets:
Liabilities:
Proposal and claim form requirements
A well designed proposal form will contain unambiguous questions to help ensure correct answers are collected from policyholders.
The information on both the proposal and claim forms should be easy to enter into the system.
The system must be able to link across proposal and claims records.