Recent Work: Dave Stodder

Dave Stoddard

David Stodder

Senior Director of TDWI Research for business intelligence

David Stodder is senior 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 and has been a thought leader in the field for over two decades. Previously, he headed up his own independent firm and served as vice president and research director with Ventana Research. He was the founding chief editor of Intelligent Enterprise where he also served as editorial director for nine years.



  • Strategies for Solving Business Problems Faster with Visualytics

    While visualization is about telling a story with data for consumption, visualytics is visually understanding your data while you work and model it. Not waiting until the output to see and understand your data can give business users and analysts a faster path to uncovering critical insights for addressing business challenges and answering questions. Technologies that enable data visualization and analytics have previously been evolving separately, but leading solutions today have merged them together to give users new and easier ways of drawing insights from data and putting them into action for smarter decisions. June 14, 2018 View Now

  • GDPR: What It Means for Analytics and Data Management

    The deadline for complying with the European Union’s General Data Protection Regulation (GDPR) is fast approaching. The EU calls it “the most important change in data privacy regulation in 20 years” – and that’s no exaggeration. Beginning May 25, 2018, organizations that are in non-compliance may face heavy fines, not to mention damage to their reputations. How does this regulation affect the way your organization uses data for analytics and business intelligence? What do you need to do from a data management perspective to ensure compliance – not just by May 25, but into the future? April 30, 2018 View Now

  • Applying the Power of AI to Data Catalogs: How artificial intelligence can make it easier for users to share knowledge and collaborate

    Data catalogs are increasingly critical as more users engage in self-service analytics and business intelligence and seek access to a wider variety of data types and sources. Many organizations fear that allowing users more self-service access and analysis will result in data chaos, especially if those sources exist outside IT-managed platforms such as an enterprise data warehouse. Data catalogs help organizations combat data chaos by enabling them to manage and govern distributed data assets more effectively. With an effective data catalog, organizations curate data so that users can trust sources and gain insights faster. March 20, 2018 View Now

  • Delivering Trusted Data for a 360-Degree View: New Strategies for Governance and Master Data Management

    Nothing can ruin analytics faster than bad data. If users lose trust in the data, they will lose confidence in analytics and be unable to put insights into action. Organizations are facing new challenges with the rising demand of self-service analytics plus users’ growing interest in big and varied data sources. It’s a competitive advantage today for organizations if they can integrate and blend data to gain 360-degree views of customers and other subjects of interest. The tough question is: With democratization, new data, governance requirements, and business pressures to realize value, how do you ensure essential trust in the data? March 7, 2018 View Now

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