Analyst Profile

Douglas Laney

VP Distinguished Analyst

6 years at Gartner , 30 years industry experience
Chicago, IL USA

Roles and Responsibilities

Doug Laney is a VP and Distinguished Analyst with Gartner's Chief Data Officer Research team where he covers data strategy, infonomics (the economics of information), information innovation, big data and analytics use cases, data monetization, open and syndicated data, and the roles/organizational structures for data management and analytics teams.

Areas of Coverage

Data Management & Integration
Business Intelligence

Douglas Laney's Recent Gartner Activity

Latest Research

100 Data and Analytics Predictions Through 2021
20-Jun-2017
Understand the Data Brokerage Market Before Choosing a Provider
16-Jun-2017
Chief Data Officers' Handbook
04-May-2017

On-Demand & Upcoming Webinars

Ten Ways CDOs Fail and How to Avoid the Traps
06 October 2016
The Gartner Enterprise Information Management Maturity Model
22 February 2017

Background

Previous Experience

Mr. Laney is considered a pioneer in the field of data warehousing and originated the field of infonomics (short for "information economics"). He has led analytics and information-management-related projects on five continents and in most industries. Mr. Laney is also an experienced IT industry thought leader, having launched Meta Group's Enterprise Analytics Strategies research and advisory service, established and co-led the Deloitte Analytics Institute, and guest-lectured at leading business schools on information asset management and valuation. In addition, he has led business analytics consulting and marketing practices for several software companies.

Professional Background

BMC Software/Identify Software, VP of Global Consulting and Director of Services Marketing, 4 years
Deloitte Consulting, Co-lead, Deloitte Analytics Institute, 2 years
Meta Group, VP and Research Director, Enterprise Analytics Strategies, 5 years

Industry Awards/Accolades

2012 Thought Leadership, Gartner
2014 Thought Leadership, Gartner
7 Business Analytics Gurus You Should Be Following on Twitter, Information Management Magazine
Guest lecturer on infonomics at leading business schools
Top 10 Data Science Influencers, KDnuggets
Top 20 Big Data Influencers, Onalytica
Top 5 Big Data Influencers, KDnuggets

Education

B.S., Software Engineering and Business Administration, University of Illinois, Urbana-Champaign

Languages

English

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15 June 2017
IoT Technology Disruptions: A Gartner Trend Insight Report IoT's rapidly evolving technologies have ushered in innovative disruptions at a breakneck pace. This report highlights Gartner research that covers these IoT technical disruptions in five key areas: security, artificial intelligence, data and analytics, communications, and endpoint technology.
31 May 2017
Digital Trust — Redefining Trust for the Digital Era: A Gartner Trend Insight Report Trust underpins every interaction, but traditional trust models do not scale to the scope, spontaneity and agency required in digital business. Digital trust emerges to establish and manage trust in the myriad digital interactions and relationships between businesses, individuals and things.

26 Jun 2017
Building the Business Case for Artificial Intelligence in Application Management Services EDT: 9:00 a.m. | PDT: 6:00 a.m. | GMT: 13:00 Major gains in cost-effectiveness and service quality are promised through the use of artificial intelligence, virtual agents, or deep learning technologies in contracts for application management. We review the offerings available and discuss investments needed, payback periods and benefits achievable.
27 Jun 2017
Redefining ITAM for the Digital Age EDT: 9:00 a.m. | PDT: 6:00 a.m. | GMT: 13:00 The role of IT asset management (ITAM), how it is defined and even the definition of an IT asset are changing in response to the challenges IT organizations are facing in the digital world. IT/OT integration, cloud, SaaS and IoT all challenge the traditional approach to ITAM.