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Agile AnalyticsFrom Analytics to Actions - In Minutes
Company Presentation andSuggestions for Collaboration
The Company
• Young, highly dedicated company
• Founder: Adrian Flanagan, ex-NokiaAnalyst
• Key asset: Predict-It algorithm andself-service online tool
The Offering
A Predictive Analytics Tool:
• Automated
• Rapid
• Easy to use
• Web based
Adrian Flanagan PhD
• Senior Analyst in Nokia’s analytical services team.
• Senior Manager, Analytics and Consumer Insight Nokia/COIS
• Senior Researcher, Data-Mining group, Nokia Research Center
• Analytics Manager, Nokia CIO office
• >50 peer reviewed publications and patents
15+ years of business and research experience inadvanced analytics and CRM applications
OFVIGO Product: 3 Step - 10-minute, Self-Service Predictive Analytics
• Highly automated model building
• Users only need to
1. upload data
2. select target variable
3. download scores
Web-Interface
Ofvigo vs. others
“I did it myself. In 10 minutes” “Missing values, do I replace themwith the mean or the median?”
Technology
• Unique, innovative OFVIGO Predict-It™algorithm
• Java software implementation
• Cloud computing enables scalability
• SaaS model: no fixed IT costs
Use Cases
Case: Customer Loyalty• Find and treat at risk customers
Ofvigo’s Proposal:– Ofvigo’s service generates a ranked list of each
customer’s risk– “High-Risk” customers treated
Benefit:– Optimal data driven targeting for treatment
– Higher ROI on maintaining customer loyalty
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Case: Cross and Up Sell• Outbound telemarketing to cross/up sell a suite of
different services
Ofvigo’s Proposal:– Ofvigo’s service generates a ranked list of prospects
for each service category– Company only offers one “hottest service” per call
Benefit:– Significant decrease in call time/sale
– Significantly increased ROI
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Case: Enriching Customer Profiles• Direct marketing firms• Data bases with “basic info” exist: names, titles,
addresses, phone numbers
Ofvigo’s Proposal:
– Company establishes small panels to collect richprofiles of targeted segments
– Ofvigo uses panel results to generalise findings toprofile entire consumer database
Benefit:– Customers use the expanded profiles for more precise
target marketing and better ROI
Case: Call Centers• Call center use case: outbound telemarketing “cold
call”
Ofvigo’s Proposal:– Company has its own salespeople make the calls– Ofvigo’s service generates a ranked list of
prospects– Company calls the “hottest prospects”
Benefit:– Significant decrease in marketing costs (e.g. 40%)– Increase ROI
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