Modernizing the Organization to Support Data and Analytics (APAC)

Presented by

Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics

About this talk

As organizations strive to compete in a dynamic environment, they are looking to modernize their data and analytics environment to help. This modernization includes implementing new technologies such as scalable cloud platforms and unified approaches. It includes utilizing more advanced analytics such as geospatial analytics and machine learning. It includes new paradigms such as the data fabric and the data mesh. Moreover, as part of this, modernization may include new organizational constructs such as the data office and new teams such as DataOps, MLOps, and data literacy enablement teams. Join TDWI’s VP of Research, Fern Halper, Ph.D., as she discusses the results of her latest TDWI Best Practices Report on how successful companies are organizing to execute a winning strategy with analytics. This research focuses on topics including leadership structures, organizational structures, new roles and new paradigms. It also examines new technologies and the impact of these technologies on organizations. Topics include: New leaders, new offices, and new roles for modern analytics Organizing to execute against modern analytics Enabling technologies Building the culture and skills Success factors for obtaining value with modern analytics
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (394)
Subscribers (34133)
For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.