Smith Live Case BMGT495 | Presentation on 12/7
Group 4
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Our Team
Kyle Covello
Junior | Finance & Info Systems
Julia Sepe
Junior | Finance & Info Systems
Caroline Fleetwood
Junior | Marketing & Supply Chain Management
Camille Peck
Junior | Marketing & Management
Kate Maescher
Junior | Marketing & Supply Chain Management
Mohamed Moneib
Junior | Finance & Info Systems
Amanda Schramm
Junior | Finance & Info Systems
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Agenda
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1. Our Purpose
3. Key Findings
4. Evaluation
2. Our Solutions
5. Next Steps
6. Conclusion
Our problem statement that we’re solving.
Our recommendations to address the problem.
Our methodology and findings that led us to our solutions.
Our pros and cons of each solution.
Our implementation plan of our final recommendation.
Overall review our problem and final solution.
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Our Purpose
Our Purpose
Our Solutions
Key Findings
Evaluation
Next Steps
Conclusion
Problem Statement
In today’s digital age, insurance customers want simplicity:
How can GEICO use technology or product innovation to gain a competitive advantage in the insurance industry. What are viable options for increased efficiency, or long-term sustainability?
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Our Purpose
Our Solutions
Our Solutions
Key Findings
Evaluation
Next Steps
Conclusion
Viable Solutions
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1. Enhance Social
Media
Use AI technology to change Geico’s approaches to its social media platforms.
3. Increase Fraud
Prevention
2. Improve Claims
Management
Utilize AI to dramatically improve and enhance the process around Claims Management.
Implement AI technology to help further prevent insurance fraud.
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Key Findings
Our Purpose
Our Solutions
Key Findings
Evaluation
Next Steps
Conclusion
Prevalence of Insurance Fraud
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Prevalence of Insurance Fraud
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Current Fraud Detection
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Current Fraud Detection
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Utilizing AI Technology to Prevent Insurance Fraud
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According to Verisk analytics, when incorporating AI technologies into claims fraud analytics, it’s important to understand the four critical components of operationalizing them: variety, value, volume, and velocity
Value:
Nearly 60% of organizations suffer from inaccurate business intelligence because of slow or poor access to the right data
Variety:
System can automatically recognize suspicious patterns and characteristics indicative of fraud
AI Fraud Components
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Volume:
Analyzing the depth of information offers a more complete picture of a claim
Velocity:
Need the proper technology to enable the modeling and analyzing processes
Cloud Computing
The Use of AI Fraud Prevention in Competitors & How it Works
Insurance Competitor CNA Financial
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Shift Technology
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Shift Technology
The Utilization of Shift Technology
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Our Purpose
Evaluation
Our Solutions
Key Findings
Evaluation
Next Steps
Conclusion
Pros Vs Cons
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Cons:
Pros:
Final Recommendation
We recommend Geico to implement Shift’s FORCE technology
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Final Recommendation
The FORCE technology will:
How it will contribute to a competitive edge for Geico:
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Next Steps
Our Purpose
Our Solutions
Our Process
Evaluation
Next Steps
Conclusion
Implementation of FORCE
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2. Cost Benefit Analysis
3. Financing Our Solution
1. Onboarding
Onboarding & Integration
Simple Integration
FORCE is a Web-Based, Cloud SaaS solution. This minimizes IT involvement and costs for GEICO at both the initial implementation and for maintenance.
Efficient User-Interface
Helps GEICO’s SIU handlers by automatically identifying possible fraud cases, explaining why the claim was flagged, and recommending “next steps” for investigating the claim.
Quick Onboarding
GEICO simply needs to provide its historical policy and claims data in any format and FORCE ingests, cleans, and maps the data in as few as four months.
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Cost Benefit Analysis
FORCE’s solution is Financial Model Based - GEICO would pay on a per claims basis, and have the ability to end the service any time without penalties
COSTS
BENEFITS
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QUICK RETURN ON INVESTMENT:
PREVENT REVENUE LEAKAGES:
Financing Our Solution
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Observations:
Result:
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Conclusion
Our Purpose
Our Solutions
Key Findings
Evaluation
Next Steps
Conclusion
Final Overview
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PROBLEM STATEMENT
How can GEICO use technology or product innovation to gain a competitive advantage in the insurance industry. What are viable options for increased efficiency, or long-term sustainability?
FINAL SOLUTION:
Invest in Shift’s FORCE solution
Why?
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Any Questions?
Thank you!
Citations
Digital disruption in insurance: Cutting through the noise. (n.d.). Retrieved October 18, 2020, from https://www.mckinsey.com/~/media/mckinsey/industries/financial%20services/our%20insights/time%20for%20insurance%20companies%20to%20face%20digital%20reality/digital-disruption-in-insurance.ashx
GEICO At A Glance. (n.d.). Retrieved October 19, 2020, from https://www.geico.com/about/corporate/at-a-glance/
INNOVATION IN INSURANCE: HOW TECHNOLOGY IS CHANGING THE INDUSTRY. (n.d.). Retrieved October 18, 2020, from https://www.iif.com/portals/0/Files/private/32370132_insurance_innovation_report_2016.pdf
The Insurance Savings You Expect. (n.d.). Retrieved October 19, 2020, from https://www.geico.com/
Property, Casualty, and Direct Insurance in the US. (n.d.). Retrieved October 19, 2020, from https://my-ibisworld-com.proxy-um.researchport.umd.edu/us/en/industry/52412/about
Tzanetos, G. (2020, August 28). Geico's Marketing Strategy Through Advertisements. Retrieved October 19, 2020, from https://www.investopedia.com/articles/insurance/020117/look-geicos-marketing-strategy.asp
Walgrove, A. (2020, August 13). Importance of Brand Awareness: Advantages and Perks: Taboola. Retrieved October 20, 2020, from https://blog.taboola.com/importance-of-brand-awareness/
https://www.spglobal.com/marketintelligence/en/news-insights/latest-news-headlines/ad-spending-at-state-farm-progressive-tops-1b-in-2019-geico-nearly-hits-2b-57549297
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References
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Appendices
Appendix 1:
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Appendix 2:
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Appendix 3:
“On a test set of more than 1M documents, the AI module had a prediction rate of 81% with an accuracy of 97%, even higher than human claim handlers. For a volume of 1M claims per year, this saves a workload worth of $50M and enables to reduce leakage by more than $20M per year.” - Digital Insurance Agenda
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AI in Social Media
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Marketing Solution
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Claims Management Solution: H20
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AI in Claims Management
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Fraud
Utilizing AI Technology to Prevent Insurance Fraud
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When incorporating AI technologies into claims fraud analytics, it’s important to understand the four critical components of operationalizing them: variety, value, volume, and velocity
Variety:
Value:
Volume:
Velocity: