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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

Enabling Statistics for Everyone: Building an Easy and Sustainable Analytics Infrastructure

The real value of a decision-making environment is not in the creation of reports or simple multi-dimensional analytics. It is in the creation and use of the more sophisticated analytics like statistics and data mining. And the way to support these critical capabilities is by extending the traditional data warehouse environment to include data sets in more fluid, less controlled components in addition to the enterprise data warehouse.

Claudia Imhoff, Ph.D.


Telling a Story with Data: Skills for Both Business and Technical Analysts

Data and analytics are becoming more important than ever to businesses. However, the popularity of analytics is a double-edged sword when it comes to communicating results. Analytics professionals often fail to present results in a strong context and in a memorable, repeatable form. Some analysts have already turned to storytelling. Although results are often good, it also becomes clear that storytelling with data is both an art and a science. Its mastery improves with guidance.

Fern Halper, Ph.D.


Data Exploration and Discovery: A New Approach to Business Analytics

Big data and advanced analytics extend the traditional BI environment with new analytics solutions that enhance business decision making and operational efficiency. Examples of solutions include support for new analytics-driven operational applications, analytics accelerators, data transformation hubs, and investigative computing platforms.

Colin White


The Data-Driven CFO: Increasing Finance’s Contribution to the Bottom Line

Today’s CFOs and their IT counterparts are increasingly expected to “do more with less,” providing value-added analytics while maintaining or reducing Finance and IT spend. Analytic improvement is often complicated by the complexity of fragmented financial systems. In response, leading finance departments are increasingly taking a data-driven approach using a common data warehouse and data governance processes to radically simplify their finance architectures.

Fern Halper, Ph.D.


Gathering BI Requirements

Traditional systems development projects are process driven, and the requirements-gathering activities proceed accordingly. Business intelligence initiatives are data driven, and this requires a different approach to understanding the needs. This Webinar examines three major differences and techniques for getting requirements.

Jonathan Geiger


Predictive Analytics in the Cloud: Is It Right for You?

Adoption of predictive analytics has been increasing thanks to a better understanding of the value of the technology, vendors making the technology easier to use, and the availability of computing power. The uses for predictive analytics are extensive and growing. Companies want to understand customer behavior, they want to better predict failures in their equipment, and they want to deploy analytics in order to take action.

Fern Halper, Ph.D.


5 Ways SMBs Are Putting Information to Work

In many ways small and midsize businesses (SMBs) have greater opportunity when using BI. Yes, budgets and resources may be limited, but most SMBs are not as constricted by robust IT infrastructures that control BI access and use like their enterprise counterparts. Consequently, many SMBs are empowered through their BI applications to take advantage of interactive technologies without the limitations of large-scale enterprisewide IT infrastructures.

Lyndsay Wise


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