Human Factors in Data (Panel)

Most companies recognize the importance of data, analytics, and governance. Yet, many companies are failing in their efforts to become data-driven, or data-centric. Increasing investment in technology does not solve the problem. Rather, in order to succeed, organizations must address the most difficult issue that is holding them back: cultural change and the human side of being data-driven. A massive change in processes, roles, vision, and various other business fields is required, and nobody in the organization will be untouched by what we are doing, so we should have them in our focus and help them through the change. Our panel will discuss these human factors, and how to address them.

Speakers:

Sarah Hampton, NASA

Sarah Hampton works in the People Analytics Team with Human Capital Data to grow and expand the value of trusted analytics and insights. Sarah is experienced in Corporate Learning, Information and Data Governance, Library Science, Knowledge, and Program Management, and has strongly advocated for Data Enablement with people-centric collaboration. Data Enablement allows us to stretch beyond the minimum viable, compliance-driven product to truly evolve in a sustainable manner with adoption and engagement.

Kateryna Zabolotna, E.ON Digital Technology GmbH

Kateryna, a 33-year-old Ukrainian, earned her Master's Degree in Applied Mathematics and moved to Germany in 2010. She has a strong background in analytics, especially web analytics, online marketing and digitization, and sales and services, coordinating transformational journeys of organizations in data-driven environments. Kateryna's experience working for large telecommunication and energy companies just confirmed that all big Data-Driven Business Transformations are impossible without implementing proper Data Management and Governance, with Change and Resistance Management playing the most crucial role.

Michael McMorrow, MMM Data Perspectives Ltd

Michael is the Principal of MMM Data Perspectives, providing consultancy to public and private sector organizations and lecturing to business colleges on common-sense approaches to organizing, understanding, and optimizing the business value from data. Prior to this, Michael was the Head of Information Solution Design at AIB Group and the leading architect for the design, build, and business use of the Enterprise Data Warehouse. Michael is past-Chairperson of the U.K. and Ireland Teradata User Group and has presented, lectured, and published widely on data-centric topics, including governance, quality, modeling, protection, and analytics.

Michael has a B.A. in the History of Art, Philosophy, and Film Studies, and an M.Sc. Management in Organizational Behavior.

Ron Huizenga, Microsoft

Ron Huizenga is a Principal Program Manager, Industry Data Models at Microsoft. Ron has over 35 years of business and IT experience as an executive and consultant, spanning a diverse range of industries. His manufacturing background instilled a commitment to continuous improvement and quality, resulting in Six Sigma Lean and Black Belt certifications. His hands-on experience in large-scale enterprise initiatives includes data strategy, data architecture, information modeling, data governance, enterprise architecture, business transformation, and software development. His background provides practical, real-world insights into enterprise data strategy, data architecture, business architecture, and governance initiatives.