RESEARCH & RESOURCES

Upcoming Webinars

International Broadcasts

TDWI On-Demand Webinars on Data Management, Analytics, & AI

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.


On Demand

Expert Panel: Establishing a Unified Data Architecture

Join this TDWI Expert Panel to learn more about unification approaches and what might work best for your organization.

Fern Halper, Ph.D.


Empowering GTM Growth Through Data-as-a-Service on Modern Platforms

Join experts from Databricks and ZoomInfo on this TDWI webinar to learn more about data-as-a-service, data marketplaces, data sharing, and how cloud data lakehouses can support this paradigm.

Fern Halper, Ph.D.


Harnessing the Power of Trusted Data for Modern Analytics

Join this webinar to take a deep dive into how to ensure that your organization’s data and analytics can be trusted.

Fern Halper, Ph.D.


Maximizing Customer-360 Insights for Competitive Advantage

Join this TDWI Webinar to learn how you can leverage modern best practices to overcome these customer 360 challenges. Experts will discuss how to use customer data to fuel your AI initiatives and unleash powerful insights for customer-facing operations.

David Stodder


Enabling Scalable OLAP Directly on a Data Lakehouse Architecture

Join this TDWI webinar to learn how the latest tools, data platforms, and practices enable you to unleash OLAP and get beyond legacy constraints.

David Stodder


Expert Panel: Changing Practice of MDM in a Multicloud World

In this panel, TDWI senior research director James Kobielus will engage data industry experts in an in-depth discussion on the evolution of master data management across multicloud infrastructures.

James Kobielus


Streamlining Planning and Data Collection for Self-Service Business Intelligence

Join this TDWI Webinar to learn how you can streamline self-service users’ data collection and enrichment to improve collaborative analytics, especially for master data management, business planning, forecasting, and strategy.

David Stodder


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