Andrew White, distinguished Analyst and VP, has a primary research focus on the chief data officer role, data and analytics platforms, strategy and operating models, governance, and stewardship.
His current role is as Chief of Research, Data and Analytics, and is also Content Lead for Data and Analytics. He has held previous roles including Vendor Lead for Oracle Corp; Agenda Manager for Data and Analytics Programs, and Data and Analytics Leaders (Chief Data Officer).
He launched the first Master Data Management Summit in 2007, and was conference chair of that event through 2015 as it expanded focus to enterprise information and MDM.
Mr. White received the Gartner Thought Leadership Award in 2006 for his efforts in pioneering Gartner's research in enterprise information management that led to MDM.
Mr. White's previous coverage areas focused on business apps and best practices in supply chain management (SCM), enterprise resource planning (ERP) and multienterprise B2B collaboration environments.
Prior to joining Gartner, Mr. White was in the software industry for eight years, consulting on SCM/SCP and collaboration (CPFR and CTM) solutions to CPG/retail companies, mainly in the U.S. Mr. White also served on the VICS (www.vics.org) CPFR (www.cpfr.org) Advisory Committee, where he chaired the Trading Exchange Interoperability subcommittee and previously chaired the n-tier CPFR subcommittee. His last role there was heading up product strategy. Before that, he served in the CPG/retail space in the U.K., where he worked for Elizabeth Arden, a cosmetics company.
Vice President, Product Strategy
Distribution Planning Manager
Product Planning Manager and MRP II Project Leader
Data and Analytics Leaders
Data Management Solutions
Analytics, BI and Data Science Solutions
Data and Analytics Strategies
B.A., with honors, Economics
Diploma from BPICS (then the British version of APICS)
Diploma in Industrial Management, Institute of Industrial Management, U.K.
1The role, skills and scope for the chief data officer
2How to build a business-relevant data and analytics strategy and/or operating model
3How to succeed with a business-relevant data and analytics governance or MDM program
4Select technologies for data and analytics governance and stewardship
5How to sustain governance of data and analytics