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RESEARCH & RESOURCES


Featured Webinars

International Broadcasts

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

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

Operationalizing Big Data Analytics: Turn Isolated Analytic Insights into Repeatable BI Solutions That Benefit the Whole Enterprise

In one of the strongest trends today, many user organizations are moving deeper into advanced analytics with big data. That’s because conventional wisdom now tells us that there are leverage-able business insights to be discovered in big data. Many businesses are deploying teams and tools for big data analytics in silos that are disconnected partially or wholly from the rest of their enterprise. Organizations in this situation are not getting full business value from the new insights being discovered because they are rarely shared throughout the company.

Philip Russom, Ph.D.


Real-Time Business Insight from Big Data

For those of us in IT and especially BI, there’s nothing more exciting than seeing practices and technologies come together in a new combination, to support enterprise business in a new way. At the moment, we are seeing such a confluence of practices and technologies for real time, analytics, big data, and in-memory processing. The combination enables more organizations to credibly address time-sensitive business processes that involve big data and benefit from analytics.

Philip Russom, Ph.D.


Achieving Greater Agility with Business Intelligence and Analytics

Delivering value sooner and being adaptable to business change are two of the most important objectives today in developing and deploying business intelligence (BI) and analytics. Organizations are under pressure to adjust strategies and tactics to fast-changing markets and economic situations, and they are depending on BI and analytics to help them make good decisions. In addition, as more users are exposed to BI and analytics tools, the more they want in terms of functionality, data access, and other capabilities. IT organizations, used to long “waterfall” development cycles, are struggling to keep up, and are hearing loud and clear from users that they want an end to the frustration.

David Stodder


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