311 South Wacher Drive
Monetizing Big Data Panel:
An Evening with Eight of Chicago’s Data Product Management Leaders
Chicago is home to a number of prominent businesses that sell data as products such as Nielsen and IRI (retail consumer), Morningstar (financial markets), Rand McNally and Nokia Location (Geo-mapping), and Truven (healthcare). In recent years, these stalwarts of the “Big-Data” industry have been joined by a growing number of exciting data startups such as Food Genius (restaurant menus), Blue Health Intelligence (healthcare insurance claims) and CityScan (3D city models). And these days, it seems that everyone is considering how to extract revenues from collected data from existing business units or processes.
With no foreseeable end to the rapid growth of connected computing and the progression of big-data analytics, we are only at the very beginning of a long-term trend of making real money from manufacturing, aggregating and productizing data. What can we learn from the leading organizations? Can the startups “wag the dog” in this market with their ability to be responsive to market trends/customer demands? What can existing big-data organizations learn to do better to enhance the customer value proposition or to create a competitive advantage? Do companies need to be more concerned with creating platforms of products, or just one-off targeted solutions? What if we could take the experience, resources and data of the big companies and match it with the nimbleness and innovation possible in a small startup?
This event will have value for: product managers, strategists and technologists from both startups and established companies interested in developing revenue-generating data products.
Questions we’ll cover will include:
What is a big data product and how does it differ from more “traditional” digital and physical products?
How do you design and develop new data products?
How can you monetize existing data that’s a by-product of another product or service?
What’s involved in data manufacturing?
How do you assess the quality and value of a data product to support a business model?
How do you price data?
When you are in the business of monetizing data, how do you explain what you do at a cocktail party?
In this hyper-competitive business environment, who has time or money to travel to some exotic resort and attend a week-long conference? The solution — join us as eight Chicago experts representing the breadth of Chicago’s data industry cram eight “flash-presentations” into an evening, followed by an informative panel discussion, and engaging networking.
It Will Be a Fast, Fun, and Informative Ride Through the Life-cycle of Big Data Product Management
Justin Massa — Founder & CEO, Food Genius
Kamal Tahir — Senior Manager for Product Management and Marketing, Experian
Eloise Parker — Assistant Director, Public Health Research, Nat’l Opinion Research Center, Uni. of Chicago
Mark Slusar — Quantitative Research & Analytics Fellow, Allstate Insurance
Jackie Beaubaire — Ast. Director, Licensing & Governance, Truven Health Analytics (Frmly. Thomson Reuters & Solucient)
Mike Jakob — President and COO, Sportvision
Phil Davis — CEO, Rapleaf
Ken Treske — Former COO and CMO, Dotomi (sold to ValueClick in 2012)
Randy Horton — Founder, 94 Westbound Consulting (panel moderator)
Agenda (March 19, 2013):
4:30 pm Registration, Networking, Drinks and Food
5:00 Program begins
Welcome and Introductions
Flash Presentation 1
What’s a big data product and how does it differ from “traditional” digital and physical products? (Overview)
Flash Presentation 2
Designing a data product to fit a real need? (Identifying needs, segmenting, knowing customer requirements)
Flash Presentation 3
Getting your data, Part 1: How to source existing databases?
Flash Presentation 4
Getting your data, Part 2: How to manufacture new data? (Gathering, housing, analytics, structuring)
6:00 – 6:20 Break
Flash Presentation 5
Legal and ethical constraints of data products: regulatory compliance, privacy and corporate trade secrets
Flash Presentation 6
Packaging your data and pricing it
Flash Presentation 7
Successfully Marketing and Selling Your Data
Flash Presentation 8
Winning elements of a big data product team
7:00 – 7:20 Break
Moderated panel discussion with audience participation
8:30 – 9:00 Networking, Drinks and Food
Early-Bird/ Pre-Registration/ Door registration by March 10th/ 15th/ 19th
(Includes heavy appetizers, soft drinks and water, free drink ticket and cash bar)
PDMA Members – $25/ $30/ $35
Non-Members – $35/ $40/ $45
Student — 50% non-member rate only
Unemployed — 60% member or non-member rate
Faculty — $10 off member or non-member rate
Affiliate Membership organizations, use discount codes provided
Northwestern Students please use NWNstudent
Seats are limited to 120 attendees — register early- don’t miss this event!
Pazzo’s at 311
311 S. Wacker Dr. (Lower Level)
Chicago, IL ,60606
312 913 1600