ge case competition_final
TRANSCRIPT
Cheng Chien Wen (Nancy)Technology Strategy Expert
Hyejin Kim (Kristine)Global Marketing Expert
Your Outpacer Consulting Team
Alex WilliamsProduct Innovation Expert
Attribute Analysis
Intelligent City Street Lights“Getting from point A to B faster”
GE Intelligent Nighthawk“Getting from point A to B safer”
“A model that accomplishes optimized data and operational management.”
GE Intelligent Nighthawk
Market Analysis
Fleet Truck Market (in thousands of units) Why Connected
Positioning Insurance & Settlement Expense
Safety: For every 100 million miles driven on U.S. roads, there are 2.3 deaths and 60.5 injuries caused by big rigs.
Optimization: Monitor and improve customer service related metrics such as on-time delivery and satisfaction levels for strategic business intelligence and management tool.
Efficiency: Gathering and analyzing data on a real-time basis.
Global Fleet Management System revenues are expected to grow from $9.08 Billion in 2013 to $27.61 Billion in 2018.
6.5 million fleettrucks in U.S.
Source:Automotive Fleet Fact Book, ABI Research, NHTSA
So
ft
wa
re
H a r d w a r e
Traditional headlight makers
Softwarecompanies
ODMs
Integration Fatal tractor trailer accidents cost Americans more than $20 billion
each year, $13.1 billion of which is the cost associated with loss of quality of life.
About 98% of all semi accidents result in at least one fatality. Average death settlement for a trucking company: $178 million.
GE Intelligent Nighthawk
Implementation
Short-Term (2y.) Medium-Term (3-4y.) Long-Term (5-6y.)
Enter Fleet Truck Market
Develop product
Expand Market/Begin Integration to Consumer Vehicles
Expand Market to Insurance Companies
Develop Product for Consumer Market
Negotiate with School Districts
Propose Business Model to Insurance Companies
Business Proposition to Ü ber
Expected to generate $11.4 million in revenue in
first year
Under conservative market share projections,
revenue will increase to $283 million
Investment will payoff in under two years
GE Intelligent Nighthawk
Risks and Mitigation Measures GE Intelligent Nighthawk
Risks & Assumptions Mitigation Measures
No additional installation required besides
headlights
The bulb can be installed in all existing vehicles
(given the proper fit)
Drivers must have smartphones
Drivers must be proactive in using smartphone
to receive data and send it back to
server/manager
New vehicles may contain similar technology
Business owners provide company phones for
their drivers
Conduct advertisement and marketing
campaign
Extend Intelligent Nighthawk into new car
market
Product Innovation
2015 Health Care Outlook
1. Mobile Health (mHealth)
2. Telemedicine
3. Additive Manufacturing
4. Artificial Intelligence
5. Diagnostic Devices
6. Wearable Technology
7. Big Data and analytics
Preventative Early Detection Unit
Market Analysis
Wearable Device Market (in million units) Needs For Telemedicine
Optimization in Medical Service Share of Population Age 65 And Over
Source:IDC, Merrit Hawkings, U.S Census Bureau
123 million units in 2019
In 6 years, market will increase by 554%
Average wait time for an appointment: 18.5 days
Average time spent in ER: 2 hours 39 minutes
Average time spent at office for check-up: 38 minutes
Reduce time physicians and nurses spend with patients
Reduce hospital wage expense
24/7 monitoring for patients
Patient behavior data analysis
Preventative Early Detection Unit
Implementation Preventative Early Detection Unit
Short-Term (2y.) Long-Term (5-6y.)
Enter Nursing Homes
Develop 1st Generation product
Expand to Hospitals
Develop Add-On Technology
Trial in Hospitals
Expect to generate $7.1 million in revenue at 1st
year
Under conservative market share anticipation,
revenue will increase to $54.5 million
Investment will payoff in under two years
Launch New Product
Trial in Nursing Homes
Research New Diagnostic Methods
Enter New Markets
Risks and Mitigation Measures
Risks & Assumptions Mitigation Measures
Learning curve for physicians and nurses
Approval from Government Agencies
Insurance Coverage
Integrating new software with existing patient
records
Can fluctuations be detected non-invasively to
detect early signs of risk?
Using GE brand to build on high quality reputation
in healthcare
Emphasizing data analysis from professionals
instead of self-monitoring
Develop Add-On function to expand diagnostic
capabilities
Preventative Early Detection Unit