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

Using Master Data to Supplement Your Company’s Customer Centricity Strategy

Master data management (MDM) comprises a robust set of processes, techniques, and technologies. MDM has matured to the point where organizations now recognize a need to transition away from “integration” and move toward “information use.” That implies a more informed concentration on customer data visibility to support corporate directives for improving the customer experience in ways that create and maintain corporate and customer value.

David Loshin


5 Best Practices for Data Visualization Success

Today's organizations need to display data in interesting, meaningful ways in order to empower users to take action and make good business decisions. Often, difficulties arise when choosing the correct visualization to best illustrate the important message the data provides.

Lyndsay Wise


Fostering the Business and IT Partnership for Bigger BI Impact

Business-IT partnership is one of the most critical aspects to successful business intelligence solutions, and yet many companies continue to report painful disconnects between the business and IT. The business wants fast time to value. IT seems to act only as a barrier and gatekeeper to data.

Cindi Howson


Hadoop Best Practices for Data Warehousing and Analytics

According to a 2012 TDWI survey about Hadoop, only 10 percent of respondents have the Hadoop Distributed File System (HDFS) in production today, while a whopping 63 percent expect to deploy HDFS within three years. The survey reveals that user organizations are aggressively adopting HDFS and other Hadoop technologies for data warehousing, analytics, and other purposes. Organizations in this situation are completely new to this technology, so they need to educate themselves quickly about the best practices that are now emerging for Hadoop, especially in the context of data warehousing and analytics.

Philip Russom, Ph.D.


Staying in the Game with Big Data in Consumer Industries

No individual is a “segment.” Big data and advanced analytics allow companies to treat customers as individuals and not as broad demographic slices. Smarter marketing starts conversations and delivers useful services—to one individual at a time.

Colin White


I Can’t Believe I Ate the Whole Thing! Making BI More Consumable

Self-service BI is a popular topic these days. It is beneficial to the IT staff developing the BI environment—they are freed up to do more value-added activities. It is quite useful for technologically savvy business analysts or data scientists—they can begin producing their own analytical results.

Claudia Imhoff, Ph.D.


Bridging the Business and IT Divide: Ensuring Success for Your Self-Service BI Project

You have attended the conferences, read the books and articles, gotten advice from vendors and implementation companies alike, and maybe even created your first BI prototype. You think you are ready to take on the big project. Compare your progress to the best practices checklist offered in this presentation.

Claudia Imhoff, Ph.D.


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