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Original Air Date: October 4, 2018
PRICE: Free to all attendees
About the Webinar
Join us for a data supply chain discussion as we explore this set of architectural components that move data around the enterprise from points where it is created or acquired, to points where it is used. While analytics is the culmination of the supply chain, there are many moving parts and potential pitfalls that must be managed effectively.
Kelle O’Neal and John Ladley will be joined by special guest George Yuhasz, US Director of Business Intelligence and Data Services at Keystone Foods. George will share his experience, best practices and lessons learned for implementing a comprehensive data supply chain while launching concurrent analytics and data governance initiatives.
About the Speakers
Kelle O’Neal
Founder & CEO, First San Francisco Partners
Kelle O’Neal is Founder and CEO of First San Francisco Partners, an Enterprise information Management (EIM) consulting firm. A veteran leader and accomplished advisor in the information management sector, as well as a speaker, author, and trainer, Kelle is passionate about helping organizations apply data intelligence to gain a true competitive advantage.
Kelle’s strong background in customer relationship management, enterprise software, and systems integration uniquely positions her to excel in helping organizations of all sizes and complexities successfully execute on Data Governance, Organizational Change Management, Master Data Management, Data Insights and Analytics, and other EIM initiatives.
Kelle developed her ability to work through organizational complexity, build consensus, and drive results in senior roles at companies that include US-based firms GoldenGate Software, Siebel Systems, and Oracle. She also worked at the executive level in Europe and Asia. Under her leadership of First San Francisco Partners, the firm’s client list has grown significantly over the years, as has its consulting and support teams – and FSFP will celebrate its 10th anniversary in April 2017.
Kelle’s thought leadership and training has been featured on CIO.com, Data Informed, B-Eye Network, Data Management Body of Knowledge, and DATAVERSITY. She received her MBA from the University of Chicago Booth School of Business, and she holds a BA degree from Duke University.
John Ladley
Senior Data Management Consultant
John Ladley is a business technology thought leader and recognized authority in all aspects of Enterprise Information Management (EIM) with 30 years’ experience in planning, project management, improving IT organizations and successful implementation of information systems. Prior to joining First San Francisco Partners in 2015, John was CEO and President of IMCue Solutions, a consultancy he founded in 2007. At IMCue, John led a team focused on improving a client’s business results through business intelligence, information management and data governance. John is widely published, co-authoring a well-known data warehouse methodology and a trademarked process for data strategy planning. His books, Making EIM Work for Business – A Guide to Understanding Information as an Asset and Data Governance – How to Design, Deploy and Sustain a Effective Data Governance Program, are recognized as authoritative sources in the EIM field. John frequently writes and speaks on a variety of technology and EIM topics. His information management experience is balanced between strategic technology planning, project management and practical application of technology to business problems.
George Yuhasz
US Director, Business Intelligence and Data Services, Keystone Foods
George Yuhasz has over 16 years of experience leading enterprise data initiatives in financial services, healthcare, manufacturing, government, military, and higher education. His expertise spans areas such as Business Intelligence, Data Governance, Data Architecture, and Strategy. Currently, George is overseeing the development and execution of the US Data Strategy at Keystone Foods, a provider of food solutions to the world’s finest and most recognizable brands.
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