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

Data Governance – A Critical Component of Business Success

Certainly, every business leader wants to have trusted, secure, consistent, and usable information, but data volumes and systems complexity have been increasing for years. Plus, most organizations rarely prioritize data governance, so why care now?

Claudia Imhoff, Ph.D.


The New Architecture for a Modern BI Environment: Answering the Challenge of Growing Sources of BI Data

Data, data everywhere … Today’s BI implementation experts are faced with increasing volumes and sources of data (on premises and off), new and innovative technologies, more complex data integration and quality issues, and difficulties maintaining and enhancing these diverse BI architectures.

Claudia Imhoff, Ph.D.


Realizing the Potential of In-Memory Computing for BI and Analytics

For business intelligence and analytics, in-memory computing is a groundbreaking development. In-memory computing can free users from many of the performance constraints on data access and analysis caused by having to go to disk. Using expanded main memory opens up a much larger territory for running analytic functions against data locally, and for reports and analytic models that demand real-time data.

David Stodder


Boost Your Data Warehouse and Analytics Environments with “Fresh” Data

To help business users make better and faster decisions, your business intelligence (BI), data warehousing (DW), and analytics environments should provide access to the most current information residing in your operational systems.

Philip Russom, Ph.D.


The Doctor Is In: The Role of the Data Scientist for Analyzing Big Data

No profession is getting more attention these days than that of the “data scientist.” Data scientists have made the covers of business magazines and are practically rock stars at online companies such as Google, Facebook, and LinkedIn.

David Stodder


Big Data and Your Data Warehouse

Just a few years ago, big data was a problem in terms of scaling up IT systems and discovering the business value. Thanks to advances in vendor platforms and user practices, most enterprises today consider big data an opportunity—not a problem—because they can mine and analyze it for valuable business insight.

Philip Russom, Ph.D.


Data Exploration and Discovery: A New Approach to Business Analytics

Big data and advanced analytics extend the traditional BI environment with new analytic solutions that enhance business decision making and operational efficiency. Examples of solutions include support for new analytics-driven operational applications, analytics accelerators, data transformation hubs, and investigative computing platforms.

Colin White


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