By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

RESEARCH & RESOURCES


Featured Webinars

  • How Generative AI and Large Action Models Will Transform the Way We Work

    In this webinar, TDWI senior research director James Kobielus will discuss the business process automation market, how AI is being adopted in this arena, and how generative approaches such as LAMs offer a fresh new paradigm for automating complex processes faster, cheaper, and more scalably than has been possible with traditional approaches. October 9, 2024

  • The State of Data Governance

    In this webinar, TDWI senior research director James Kobielus will discuss key findings from the recently examined data on coherent strategies for data governance. October 14, 2024

  • Unlocking the Power of Generative AI: 5 Essential Steps to Make It Enterprise-Ready

    Join Fern Halper, Ph.D., TDWI VP of research, and Informatica’s GVP of ecosystems and technology, Rik Tamm-Daniels, as they discuss key requirements for transforming generative AI applications into enterprise-grade solutions. October 17, 2024

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

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.


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.


TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.

LINKS

Contact Us Marketing Opportunities Become an Instructor or Contributor Media Downloads Author Submissions Reprints & Permissions Vendor News Newsletters Press Releases Sitemap TDWI Europe Become a Member