RESEARCH & RESOURCES


Upcoming Webinars

TDWI On-Demand Webinars on Data Management, Analytics, & AI

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

Making Data Work for You: Data Warehousing in the Cloud

Whether driven by cost, the need to deliver new capabilities, or a deluge of new and varied data of value to the business, organizations are re-thinking the data warehouse. As boundaries become more fluid to support emerging mobile, social, and cloud-based services, key challenges emerge: how to be flexible and agile in taking appropriate advantage of cloud-based solutions without compromising on security or service quality.

Colin White


Embedded Analytics: From Dashboards to Wearables and Beyond

Analytics is undergoing a renaissance. Its value is understood. It is becoming easier to use, even by the non-statistician. Organizations are gathering ever increasing volumes of disparate data to use for analytics. Forward-looking organizations are even using real-time data and beginning to embed analytics against this data.

Fern Halper, Ph.D.


Moving Forward with Analytics: Introducing TDWI’s New Maturity Model Assessment Tool

Analytics is hot and getting hotter. As its value becomes better understood, many organizations are looking to expand their analytics efforts. To discover new opportunities, serve customers more effectively, reduce fraud, and improve operations, firms want to get to the next level with predictive and other forms of advanced analytics. They want to build a broader analytics culture that includes more types of users.

Fern Halper, Ph.D., David Stodder


Modernizing the Operational Data Store with Hadoop

Operational data stores (ODSs) are currently experiencing a dramatic evolution, as are many data platforms and practices within data warehousing and enterprise data management. The evolution of the ODS is driven mostly by users’ increased usage of big data and advanced analytics, but also by changing practices in data archiving, data staging, and data integration. The result is that ODSs today manage greater data volumes, handle more diverse data, and serve more practical uses than ever before

Philip Russom, Ph.D.


Beautiful Data Means Productive Users: Five Steps to Better Data Visualization

Visual representation can be astonishingly beautiful. But for users, the real beauty comes when good data visualization shortens their time to insight and helps them become more productive. Executives, managers, and frontline users can be held back if they are limited to primitive spreadsheet views or simple tabular reports—or if accessing and integrating data is too complicated. Data visualization can help users discover insights, see trends and patterns in the data, and share what they find with others quickly and easily.

David Stodder


Next-Generation Analytics and Platforms for Business Success

More and more, companies are looking to advanced analytics to compete effectively. These analytics include predictive analytics, text analytics, geospatial analytics, big data analytics, and more. As part of this analytics ecosystem, organizations also have to contend with the infrastructure to support the analytics. Appliances, analytics platforms, and unified information architectures have become an important component of this equation. This developing analytics ecosystem can be quite complex.

Fern Halper, Ph.D.


From Data Discovery to Adaptive Decision Making

Modern businesses must be faster, more flexible, and more responsive than ever before. Traditional BI, focused on predefined reports and rear-view queries, will no longer suffice.

Barry Devlin


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