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RESEARCH & RESOURCES


Featured Webinars

  • From Migration to Modernization: Boosting Your Data Infrastructure for Success

    Join this TDWI webinar, with Fern Halper, TDWI’s VP of research; Arnab Sen, VP of data engineering at Tredence; and Sami Akbay, group product manager – data and analytics at Google, to learn how to transition from legacy systems to modern, cloud-based infrastructures, democratize data across the organization, boost operational efficiency, and enable advanced technologies for sustained growth. October 22, 2024

  • Driving Data Quality at Scale with High-Performance Observability

    In this webinar, TDWI senior research director James Kobielus will discuss the value of observability, lineage analysis, and other tools for driving data quality at scale in the cloud. October 24, 2024

  • Building Sophisticated AI Business Applications in the Cloud

    In this webinar, TDWI senior research director Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. October 29, 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

Future Architectures for Business Intelligence

The things we are building now are yesterday’s future. A revolution is coming in the information delivery market and we are poised at the beginning of that change. The overall picture is fuzzy, but we can see the general outlines of the new architecture.

Mark Madsen


Seven Steps for Implementing Data Discovery Tools

Expectations for what business intelligence needs to deliver are changing fast. At one time, BI technology demanded that users overcome steep learning curves, backlogs for applications, delays for batch queries, limited historical data, and static reports. Now users expect more. Tools and technologies are rapidly evolving to satisfy greater demands for ease of use, timely data access, and deeper analytics.

David Stodder


Real-Time and Big Data Challenge Data Management Best Practices

The incremental movement toward real-time operation is the most influential trend today in data-driven IT disciplines such as business intelligence (BI), data warehousing (DW), and data integration (DI). From a technology viewpoint, collecting, processing, and delivering data is hard enough; doing it in real time requires effort that is downright Herculean. Thanks to the big data phenomenon, the volume of data continues to swell, exacerbating the situation.

Philip Russom, Ph.D.


Big Data is Adding to Data Management Challenges

As the use of big data grows, the need for data management in the new environment will also grow. The combination of new data and new technology requires new data management capabilities and processes in order to realize the promised benefits.

Mark Madsen


Five Hot Trends Impacting Your Decision-Making Environment and What You Need to Worry About

Big data analytics, mobile devices, cloud-based solutions, social media data, and predictive analytics—these are the major trends in today’s decision-making environments. Exciting, yes, but incorporating these trends can also be quite disruptive to traditional architectures and the implementers, analysts, and decision makers themselves.

Claudia Imhoff, Ph.D.


Top Reasons Why You Should Be Considering Advanced Analytics for Your Organization

Advanced analytics is being embraced at an increasing rate by organizations that need to gain actionable insight from their vast amounts of both structured and unstructured information. Although much of the technology that comprises advanced analytics has been around for decades, over the past several years, adoption has increased for a number of reasons.

Fern Halper, Ph.D.


Five Steps for Getting Your BI Dashboard and Self-Service to the Next Level

Dashboard and self-service excellence is essential to gaining full value from investment in business intelligence tools. Dashboards can play a critical role in increasing an organization’s information awareness and improving overall transparency, strategic alignment, accountability, collaboration, and data governance. However, after initial success in deploying their first dashboards, many organizations struggle with how to get them to the next level of maturity. They also face challenges in keeping growing numbers of dashboards well-managed and in sync, especially as users employ more self-service BI tools and seek to interact with dashboards on their mobile devices.

David Stodder


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