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

RESEARCH & RESOURCES


Featured Webinars

Upcoming Webinars

  • Expert Panel: Real-Time Analytics Use Cases and Architectures

    In this expert panel, TDWI senior research director James Kobielus will discuss the chief enterprise use cases for real-time analytics and the principal architectural considerations for data, analytics, and IT professionals seeking to optimize their infrastructures for these applications. December 9, 2024 Register

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

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.


Critical Success Factors for the Creation of Self-Service BI

Self-service BI is becoming increasingly popular as business users demand more control over their analytical assets and IT continues to be strapped by budget and resource constraints. Many information workers now expect to be able to interact with information and create their own views to address pressing business issues. At the same time, BI teams would like to offload report and analytics creation duties to users and focus on more value-added activities.

Claudia Imhoff, Ph.D.


Improving Ad Hoc Query Speed for Hadoop Data

As user organizations dive deeper into big data analytics, many are depending more heavily than ever on SQL-based, ad hoc queries as their primary method for data exploration and discovery analytics (sometimes called investigative analytics). At the same time, the same organizations are adopting or considering Hadoop as their primary storage platform for big data. SQL-based analytics and Hadoop are good choices in isolation, but bringing them together has a catch: Hadoop’s support for queries is minimal at the moment.

Philip Russom, 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