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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

How the Right BI Can Fundamentally Change Your Organization

Self-service Business intelligence software is bringing analysts and business users together and driving the fundamental cultural shift making organizations truly data-driven. Broader access to reliable and curated data can improve business performance with top- and bottom-line impact. And more businesses are seeing this benefit as interest in self-serve BI tools grows, according to TDWI research.

Fern Halper, Ph.D.


Unifying the Traditional Enterprise Data Warehouse with Hadoop

The three-decade-old enterprise data warehouse is evolving into an enhanced data warehouse architecture where Hadoop acts as a supporting platform for traditional data warehouse activities. The challenge with this enhanced data warehouse approach is how to store and access data transparently regardless of its location and how it is managed. This presentation explores why organizations are adding Hadoop to the traditional data warehouse, presents use cases for such an environment, and takes a detailed look at why organizations need a common and transparent interface to both traditional relational and Hadoop data management systems.

Colin White


Your First Hire in Predictive Analytics (Hint: It’s Not a Data Scientist)

Many organizations are launching their first predictive analytics project and are not sure how or where to begin. With a great deal of hype around big data and data science, most companies understandably seek a data scientist with an extensive resume as their initial step.

Keith McCormick


An Analytics Road Map for Modernizing the Data Warehouse

The field of business analytics is undergoing massive change as vendors introduce disruptive technologies such as analytic appliances, non-relational systems, cloud computing, and big data analytics. What vendors often forget in the rush to market these new technologies is that many organizations are struggling with performance demands, governance issues, and satisfying user requirements using their existing data warehouse and analytics environment, and may not have the resources to take advantage of new industry developments.

Colin White


10 Considerations for Analytics in the Cloud

TDWI Research indicates that more companies are considering moving to public or hybrid cloud offerings for some or all of their analytics. Whether for customer, supply chain, or financial metrics, such organizations often collect large amounts of data—especially public cloud-generated data—and are interested in analyzing that information in the cloud.

Fern Halper, Ph.D.


Tips for Modernizing a Data Warehouse

No matter the vintage or sophistication of an organization’s data warehouse (DW) and the environment around it, the DW probably needs one or more upgrades and enhancements to address new requirements for advanced analytics, real time, streaming data, machine data, big data, and unstructured data. These and related issues are addressed in a new Checklist Report by TDWI’s Philip Russom called Tips for Modernizing a Data Warehouse. That report was sponsored by vendor firms Cloudera, Impetus, MapR Technologies, and Teradata Corporation.

Philip Russom, Ph.D.


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

Why predictive analytics now? Many companies use BI to better understand 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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