Chicago Data Night: Douglas Laney (Infonomics)

Please join us for our monthly Chicago Data Night, cohosted by ChiData and DSI. Practitioners, academics, and aficionados within the Chicago area are all invited to be part of a community at the intersection of industry and academia, brought together by a mutual interest in data. Each month, guest speakers will cover a specific data-related topic.

Hors d’oeuvres and drinks will be provided. Admission is free, and we strongly encourage filling out an RSVP here.

Agenda
4:00pm:   Doors Open
5:00pm:   Welcome Remarks
5:10pm:    Guest Speaker
6:00pm:   Q&A
6:15pm:    Reception

Meeting Location
The Auditorium at 1871
Merchandise Mart, #1212
222 W Merchandise Mart Plaza
Chicago, IL 60654

Abstract: Increasingly, IT and business executives talk about information as one of their most important assets or “the new oil”. But few behave as if it is. Executives report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. And corporations typically exhibit greater discipline in managing and accounting for their office furniture than their data.

In this session, Mr. Laney will share insights from his best-selling book, Infonomics, about how organizations can actually treat data as an actual enterprise asset. He will discuss why information both is and isn’t an asset and property, and what this means to organizations themselves and the investment community. And he will cover the issues of data ownership, rights, and privileges, along with alternative data challenges and opportunities, and his set of generally accepted information principles culled from other asset management disciplines.

This session will be beneficial for those looking to help their organization move beyond the trite “data is an asset” or “data is the new oil” lip-service to begin acting that way. Participants will learn and have an opportunity to discuss:

– How to monetize data assets in a wide variety of ways, including a number of real-world examples
– How to manage data as an actual asset by applying asset management principles and practices from other asset domains
– How to measure data’s potential and realized value to help budget for and prove data management benefits
– How classic microeconomic concepts can be applied to data for improved data architecture & management, and economic benefits

Bio: Doug Laney, Innovation Fellow, Data & Analytics Strategy. Doug is a best-selling author and recognized authority on data and analytics strategy. He advises senior IT, business and data leaders on data monetization and valuation, data management and governance, external data strategies, analytics best practices, and establishing data and analytics organizations.

Doug’s book, Infonomics: How to Monetize, Manage, and Measure Information for Competitive Advantage, was selected by CIO Magazine as the “Must-Read Book of the Year,” a “Top 5 Books for Business Leaders and Tech Innovators,” and by the Wall Street Journal as one of its “5 Summer Reads for CIOs.”  His latest book, Data Juice: 101 Real-World Stories of How Organizations Are Squeezing Value From Available Data Assets has received accolades from business, data, analytics, and IT executives and practitioners around the world.

Now the Data & Analytics Strategy Innovation Fellow with the consulting firm West Monroe, previously Doug was a Distinguished Analyst with Gartner’s Chief Data Officer research and advisory team and was a three-time Gartner annual thought leadership award recipient. In addition, he launched and managed the Deloitte Analytics Institute, is a Forbes contributing writer and has been published in the Wall Street Journal and the Financial Times among other journals. Doug has guest-lectured at major business schools around the world and is a visiting professor with the University of Illinois Gies College of Business where he teaches Infonomics and Business Analytics Executive Overview courses, which also are available online via Coursera. He also co-chairs the annual MIT Chief Data Officer Symposium, is on the faculty at Carnegie Mellon University’s Heinz College, is a member of the World Economic Forum’s data exchange initiative, a member of the American Economic Association, and sits on various advisory boards.

Follow and connect with Doug via LinkedIn. #infonomics