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RESEARCH & RESOURCES


Featured Webinars

Upcoming 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

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.


Text, Text Everywhere: Considerations for Gaining Insight From Text

Text analytics is rapidly gaining market momentum among organizations that want to gain insight into their unstructured text and use it for competitive advantage. Factors fueling market growth include a better understanding of the technology’s value, maturing of the technology, and the computing power to help analyze large amounts of data. Organizations are using the technology to address a variety of business problems.

Fern Halper, Ph.D.


Big Data Analytics: Getting Business Value from Big Data via Advanced Analytics

The term “big data” has arisen in recent years to describe multi-terabyte data sets. Big data certainly has its challenges relative to scalability and data management. But it’s also useful for business intelligence purposes. In particular, the massive data sets of big data provide substantial data samples for various forms of analytics, especially advanced forms that are discovery oriented.

Philip Russom, Ph.D.


DIY BI and Analytics: Reaping Rewards and Avoiding Chaos with Self-Service BI

As the velocity of business increases, business users are less willing to wait for the IT department to create custom reports and analytics. Many users now expect to be able to interact with information and create their own views of data to address pressing business issues. At the same time, BI teams would like to off-load report and analytics creation duties to users and focus on more value-added activities.

Claudia Imhoff, Ph.D.


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