Bringing People and Data Together for Better Data Architecture
  Harinder Singh   Harinder Singh
Global Director, Data Strategy and Architecture
AB InBev
http://www.ab-inbev.com/
 
  Kevin Schofield   Kevin Schofield
CEO
ADRM Software
www.adrm.com
 


 

Wednesday, October 10, 2018
03:45 PM - 04:45 PM

Level:  Intermediate


Large global companies need to take a holistic view of their Data Architecture if they are to truly reap the benefits of their scale and reach. AB InBev is the world's largest brewer, with customers and employees on at least six continents, and this session explores its progress so far on its global Data Architecture journey as a way to highlight the importance of bringing people and data together for better Data Architecture, touching on topics including:

  • Building a global data team
  • Engaging stakeholders across the organization
  • The importance of having a comprehensive information blueprint or roadmap to facilitate communication
  • Architectural considerations and choices
  • Tool selection
  • Evaluating progress and successes


Harinder leads global data strategy and Architecture for Ab Inbev. He is passionate about building data products to unlock the power of information within the organization. 

Over the past 20 years Kevin has led ADRM Software to its current position as the leading independent provider of comprehensive industry-specific data models. He has had the privilege to work directly with most of ADRM’s customers across a wide variety of industries in 19 countries around the world to ensure that their diverse and evolving data and analytic requirements are met now and in the future through the use of large-scale industry-specific data models to facilitate comprehensive digital transformation and data architecture and truly engaging enterprise data governance and through the deployment of large-scale DWs, Data Lakes, ODS, and virtualization layers across diverse platforms, while also reducing risk and benefiting from best practices and lessons learned at other similar large organizations.