TDWI Upside - Where Data Means Business

Contributer: Dave Stodder


David Stodder is director of TDWI Research for business intelligence. He focuses on providing research-based insights and best practices for organizations implementing BI, analytics, data discovery, data visualization, performance management, and related technologies and methods. Stodder has provided thought leadership about BI, analytics, information management, and IT management for over two decades. Previously, he headed his own independent firm and served as vice president and research director with Ventana Research. He was chief founding editor of Intelligent Enterprise and served as editorial director for nine years.

  


All articles by Dave Stodder


Data Preparation: Advanced Analytics to the Rescue

Demand is growing for faster, more dependable data preparation. According to a recent survey by TDWI, professionals believe there is plenty of room for improvement.

The Hadoop Ecosystem: Celebrating 10 Years, Tackling New Challenges

Even after 10 years, Hadoop technologies are still expanding, and I believe that we will soon see progress in two key areas that will improve stability and flexibility.

Using Methods to Avoid Madness: How Agile Aids Self-Service BI and Analytics

Three recommendations based on TDWI research for applying agile methods.

IoT: Game Changer for Data Science

Growth in IoT will put pressure on organizations to step up their data science so they can develop and deploy analytics that tap the new data streams.

3 Tech Trends to Watch in 2016

In 2016, these trends are all about taking visual BI and analytics to the next level.

Governance: Survey Reveals Best Practices Lagging in Most Enterprises

Results from TDWI’s latest Best Practices Report show governance practices still fall short of best practices.

Visual Analytics: BI is Dead, Long Live BI

Visual analytics technologies may help organizations move closer to achieving BI goals and objectives, but visual analytics tools must be carefully managed.

Preparing Data for the Self-Service Analytics Experience

Self-service tools should help IT offload some responsibilities to users, thereby reducing the backlog and giving users the flexibility they seek.

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