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Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc.

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Page 1: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Casualty Actuarial SocietyRatemaking Seminar

Tampa, 2002

INT-1

Introductory Data Management 101

Al Hapke

ASPECT, Inc.

Page 2: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Your Role in Data Management

• Demanding User

• Lack of defined needs

• Lack of knowledge about information technology

• Lack of business knowledge in the IT staff

Page 3: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Therefore, you must communicate your goals effectively and clearly.

Objective of Data Management:

To store and organize data in a way that allows the analyst to answer questions about the business.

These questions should help direct and guide the management of the business.

Page 4: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Processing Systems are not adequate to satisfy the analytical needs of the company.

They’re designed to do work, not answer questions.

Page 5: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Steps That Help Communication:

• Formulate many specific questions– Brainstorm yourself– Talk to your customers/clients/boss– Read actuarial papers– Review competitive rate filings

• Write them down

• Design your spreadsheet or model to answer the question

• Determine what you need to populate the spreadsheet

Page 6: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Example of Questions:

What do we expect to pay for claims in this class vs. other classes?

1. Age/experience of driver

2. WC class code

3. Property construction

4. State/territory/location

5. Other characteristics such as credit rating,

new/renewal, etc.

Page 7: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Issues with this Question:

• Volume in each class or characteristic

• How much history?

• Can premium be appropriately matched with losses?

• Can earned exposures be captured?

• Can class definitions be multidimensional?

Page 8: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Other Questions:

• What is our exposure to maximum loss?– Answer can be found in limit/location studies

• How much development can we expect on reported losses?– Considerations:

• Report date

• Historical claim distributions

Page 9: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Other Questions (continued)

• Has our underlying book of business changed?– What types of losses are we seeing?

• This is only meaningful if we have been profiling our mix of claims so that we can see what’s different.

• e.g– Size of loss at consistent points in time

– Minor coverage detail

– Cause of loss

Page 10: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Other Questions (continued)

• Who, how much, and what is your producer selling?

What are the characteristics of the business being brought in the front door?

Or…. Leaving through the back door?

Page 11: Casualty Actuarial Society Ratemaking Seminar Tampa, 2002 INT-1 Introductory Data Management 101 Al Hapke ASPECT, Inc

Issues to Consider in Your Management Information System

• Ease of Access - level of independence

from programmers

• Flexibility - new classes, new

characteristics, new products

• Quality of data