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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

Practical Predictive Analytics for the Line-of-Business Analyst

Can business analysts effectively use predictive analytics? Adoption of predictive analytics and other advanced analytics has increased for a number of reasons, including a better understanding of the value of the technology and the availability of computing power. Economic factors are also a driving force in utilizing predictive analytics for business as companies strive to remain competitive. Companies want to better understand customer behavior. They want to better predict failures in their infrastructure. The uses for predictive analytics are extensive and growing.

Fern Halper, Ph.D.


Delivering on the Promise of Real-Time Business Analytics

Most business intelligence (BI) implementations query data that is historical, representing business processes that have already completed. Even so called real-time BI reports are generated using historical data. While this view of data has some value, it does not represent the complete picture. Fully informed business decisions require real-time insight into high-volume streaming data sources, current events, and ongoing business processes.

Philip Russom, Ph.D.


Faster, Must Go Faster: BI is Not Just for Tactical or Strategic Decisions – It’s Mandatory in Operations!

Business intelligence (BI) applications are playing an ever-increasing and important role in driving and optimizing daily business operations. This trend is leading to major changes in both the functionality and usability of BI-related technologies and products. Developing an operational BI strategy in this dynamic and constantly changing environment is not a simple task.

Claudia Imhoff, Ph.D.


Harnessing the Power of Big Data for Healthcare Organizations

Big data has arrived in healthcare, whether organizations are ready for it or not. Increasingly, healthcare provider and payer organizations have access to growing volumes of both structured and unstructured data. New sources, such as electronic health and medical records, doctors’ notations, claims data, clinical data, and external Internet/social media data, are mushrooming in size and importance for access and analysis. Big data holds the potential to give users a more complete and timely view. At all levels, users in healthcare organizations must leverage this data to discover insights for improving patient care, cost management, and operational process improvement.

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.


Using Customer Analytics to Make Better Business Decisions

To compete effectively and keep the best customers loyal, organizations need to capture a variety of data about customers and analyze it effectively. This includes tapping new and promising big data sources such as social media data. However, if organizations cannot analyze data in time and deliver insights to business decision makers quickly, all the data in the world won’t make a difference.

David Stodder


Predictive Analytics: A Critical Part of an Evolved Decision Support Platform

Why predictive analytics now? Many companies use BI to get a better understanding of what has already happened in their business—a backward-looking view. Although this can be somewhat useful, organizations can gain real value by harnessing their valuable corporate data to understand why something is happening now, and more important, what's likely to happen next.

Claudia Imhoff, Ph.D.


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