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Wednesday
, August 24
3M Auditorium
9:30am •
Analytics C-Panel
11:15am •
Using Publicly Available Hazard Data for Exposure Quantification to Hurricane and Wildfire Perils
1:00pm •
Drugs, Dents and Deeds: A Deeper Dive into Insurance Data and Analytics
2:00pm •
Connections, Connections, Connections
3:00pm •
Lessons From the Social Sciences: The Importance of Interactions
3:45pm •
Descartes on Analytics
Honeywell Auditorium (lower level)
9:30am •
The Sharing Economy: Data-Driven Governance in a Crowd-Based World
10:15am •
Information Governance in a Big Data World
11:15am •
Moving from Order Taker to Trusted Partner
1:00pm •
Achieving Accuracy and Actionabilty in Digital Marketing Measurement
2:00pm •
Becoming a Data-Driven, Insight-Powered Enterprise
3:00pm •
Leading in the Digital Revolution
3:45pm •
Continuous Analytics: The Time is Now
Room 1-123
9:30am •
Delivering Personalized Experiences using the Power of Data
10:15am •
Analytics on Ourselves: Leading BI and Analytics Teams More Effectively Using Strategies from eCommerce
11:15am •
Transforming BI: Guides, Lessons, Methods and Innovation
1:00pm •
Part II: One Year Later, Optimizing your Marketing Spend via Digital Attribution
2:00pm •
Implementing Fractional Attribution and How it Changes the Way You Market to Your Customers
3:00pm •
The Soft Side of Data Science: Organizational and Cultural Factors in the Adoption of Big Data Tech
3:45pm •
Novel Data & Unsupervised Learning: Taking the First Steps with a New Source of Customer Insight
Room 1-132
9:30am •
The Analytics of Certainty Versus the Analytics of Risk: A New Dimension In Analytics
10:15am •
Pricing and Monetizing the Third Wave of the Digital Transformation
11:15am •
Tighten Up Your Back End: Productivity Evolution in Retail and Harnessing Every Dollar
1:00pm •
Stop Obsessing About Model Error Rates
2:00pm •
Getting Back to My 'R'oots: Doing Data Science In R
3:00pm •
Neural Networks for Retail Customer Personalization
3:45pm •
Making It Rain: Commercializing Analytics
Room 1-135
9:30am •
Intro to Machine Learning Classification with Python
10:15am •
Using Big HR Data to Analyze the Secret Sauce of a Major Retailer's High-performing Stores
11:15am •
Cognitive Computing and the Emerging Automation of Marketing
1:00pm •
Big Data Analytics for Risk Selection and Profitability
2:00pm •
Information Overload: Sifting Through It All, and Appealing to a Data Driven Generation
3:00pm •
DIY Analytics Talent: Build Your Own Supply to Meet the Demand
3:45pm •
Leveraging Altruistic Giving in Crowdfunding: Evidence from A Natural Experiment
Room 1-142
9:30am •
Safety in Numbers: How IoT and Analytics Are Improving Quality and Efficiency in the Food Supply Chain
10:15am •
Optimized Staffing: On Demand
11:15am •
Bitcoin Demystified
1:00pm •
An Introduction to Data Analysis using R
2:00pm •
Amazon Isn’t Beating Other Retailers, They are Beating Themselves
3:00pm •
Leveraging Predictive Analytics to Increase Fast-food Sales
3:45pm •
Discovering Consumer Needs from Unstructured Data
Room 1-147
9:30am •
Startup Showcase
11:15am •
How to Put Your Commerce Data to Work
1:00pm •
Borrowing from Science and Software to Build the Modern Analytics Workflow
2:00pm •
Impact of Social Influence on Gaming, Ecommerce and Retail: The Ninja Metrics Experience
3:00pm •
Into the Unknown: Deriving Insights from Anonymous Data
3:45pm •
How to Make Customer Centric and Data-driven Choices to Improve Sales
Room 2-213
9:30am •
A Brief Introduction to Python Programming
10:15am •
Fast Retail Analytics with the SMACK Stack
11:15am •
High-Priority Business Objectives in Financial Services and Customer-Facing Solutions to Deliver Them
1:00pm •
Analyze This! Science Musuem of Minnesota Data Challenge Finals
3:00pm •
Toy Stress Testing with Python: Fun with Modeling Risk
3:45pm •
Optimizing Your Onsite Visitor Behavior to Drive In-store Traffic
Room 2-215
9:30am •
DataStax Enterprise: The Database for Cloud Applications
10:15am •
Collaborative Analytics: How to Partner with a Research University to Succeed in Analytics
11:15am •
Financial Impacts to Resourcing Analytics and Compliance
1:00pm •
The Digital Bank: Garnering Critical Business Insight with Advanced Analytics
2:00pm •
Correlation: A Biography of Dangerous Ideas, Implications for Big-Data practitioners
3:00pm •
How to Make Analytics Drive Real Operational and Financial Value
3:45pm •
How Machine Intelligence Can Scale Advanced Analytics and Optimize Operations
Room 2-224
9:30am •
Data and Analytics on Demand to Answer Tough Questions Quickly in Credit Lending Environment
10:15am •
Spatial Analytics in Retail and Financial Services
11:15am •
Using Behavioral Analytics to Optimize Customer Engagement and Long-term Value
1:00pm •
By the Letter: Effective Communication Strategies for Analytics Professionals
2:00pm •
Building Data Compliance
3:00pm •
Stimulating User Content Generation via Performance Feedback: A Randomized Mobile Field Experiment
The Atrium
9:10am •
Opening Remarks (Atrium)
12:00pm •
LUNCH
4:15pm •
Happy Hour and Networking
Timezone
FARCON 2016
America/Chicago
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Carlson School of Management, 321 19th Ave S, Minneapolis, MN 55455
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3M Auditorium
Honeywell Auditorium (lower level)
Room 1-123
Room 1-132
Room 1-135
Room 1-142
Room 1-147
Room 2-213
Room 2-215
Room 2-224
The Atrium
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Dates
Wednesday
, August 24
Venue
3M Auditorium
Honeywell Auditorium (lower level)
Room 1-123
Room 1-132
Room 1-135
Room 1-142
Room 1-147
Room 2-213
Room 2-215
Room 2-224
The Atrium
Session Type
Business
All
Panel
Sponsor
Business & Technical
All
Showcase
Sponsor
Technical
All
Beginner Level
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