Health meeting v2_20120529_kp
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Transcript of Health meeting v2_20120529_kp
SOA Health Meeting - June 2012
Business Case for
Business Intelligence
Kevin Pledge
416 949 8920
@kevinpledge
http://ca.linkedin.com/in/kevinpledge
Kevin Pledge
• CEO and Co-Founder of Insight Decision Solutions
• Chair of the SOA Entrepreneurial Actuaries Section
• Member of working group on Actuaries in Business Analytics
• 416 949 8920
• @kevinpledge
• http://ca.linkedin.com/in/kevinpledge
Agenda
Kevin: Examples and case studies of BI at work
Neil: Developing trends in semantics and big data
What is Business Intelligence?
1) Combination of data management and analytics
2) A database managed by IT
3) The ability for an organization to take all its capabilities and convert them into knowledge
4) An oxymoron
5) All of the above
Typical BI Architecture
Data Warehouse /
OLAP Server
Presentation
Server
Users
Metadata
Data Store
Integrated Systems
e.g. valuation system
ETL
ETL Source
systems
But others are possible….
‘single version of the truth’
Reality Check
data definitions, data cleansing, aggregations, normalizing, de-normalizing, rationalizing, extracts, transformations, translations,
data dictionaries, restructuring, conversions,
Not worth anything if don’t have a use for it
consistent cleansed data for actuarial
Before: Separate data extracts for experience studies, valuation, financial reporting schedules Separate rules applied for experience studies, valuation, financial reporting schedules • Date of termination in the future, policy status
terminated • Terminated policies with active coverages • Change of primary insured’s gender on joint life plans • Inconsistencies between age, DOB and issue date • System conversion errors $20m reserve for poor quality data
consistent cleansed data for actuarial
After: Single extract, single set of rules Reduction in head count, but increased number of actuaries No year-end panic Increased work capacity – more frequent reporting, more analysis Increased responsibilities, need to develop new skills Released $20m reserve for poor quality data And… I could never work in a traditional actuarial environment again
Improving Analytics
sales reporting
salesforce analysis
accounts
underwriting analysis
claim analysis
inforce demographics
valuation analysis valuation data extracts
experience studies
earnings-by-source
actu
aria
l in
volv
eme
nt
analysis frequency
retention analysis
customer analysis
Improving Analytics
Traditional Approach
BI Approach
Prepare Model / Calcs
Apply Data Report
Prepare Data Model / Calcs Analysis
Improving Analytics: Real Life Example
Medicare Supplement rate increases
$1bn premium income
~80% of business applied for increases
Assuming 6% increase
80% x $1bn x 0.06 x 1/12 = $4m
20% x $1bn x 0.06 = $12m
Improving Analytics
New frontiers
Hard to justify ROI Potentially highest ROI
Marketing Understanding your agents and customers…
Coverage
Agent
Policy
Claim
Group
Customer
Sales Team
Office
Coverage
Agent
Policy
Claim
Group
CustomerSales
Service
Underwriting – Predictive Modeling
Automate for faster, more consistent
decisions
• Reduce cost, NTU’s
• Process to improve
• over time
Claim Analysis
Meaningful attributes (ICD codes)
Alerts
Claim transition (LTC)
Testing new procedures such Wiley Protocol
Extend with Collaboration
Analytical Competitors
1. Senior executives strongly advocate analytics and fact-based decision making
2. Widespread use of descriptive statistics, predictive modeling, and complex optimization techniques
3. Analytics used across multiple business functions
4. Enterprise-wide approach to analytical tools, data, and process
Is there really a magic recipe?
Management Support
Widespread and in multiple business areas
But…
Does not need to be complex
Coordinated, not centralize control
Opportunities for Actuaries in Business Analytics
As part of the SOA's strategic objective to create and promote new areas of practice, this initiative will determine whether significant opportunities exist for actuaries in business analytics and, if so, identify projects the SOA should undertake to explore and develop these opportunities.
Session tomorrow Actuaries in Advanced Business Analytics
Summary
• Consistent cleansed data
• Improve analytics
– Accelerated
– More depth
– Lower cost
• Extend analytical decision making
Thank You
Kevin Pledge
416 949 8920
@kevinpledge
http://ca.linkedin.com/in/kevinpledge