ANALYTICS, DATA SCIENCE & BUSINESS INTELLIGENCE

The technologies, techniques, and algorithms for analyzing all kinds of data to derive insights and take action for better decision making and enterprise success.

Explore Analytics, Data Science & Business Intelligence Content

Onsite Education

Online Learning

  • TDWI Data Science Bootcamp

    Get in-demand skills for the hottest job in analytics: Data Scientist. A 4-module intensive course covers everything from sourcing and prepping data to communicating business insights. more

Research & Resources

Webinar

  • Six Steps for Generating Business Value from Operational IoT Data

    Learn how to accelerate your organization’s ability to realize business value from operational IoT data, plus best practices for reducing data prep, eliminating data latency, and making operational IoT data actionable. We’ll offer tips for balancing data governance, security, and accessibility. more

  • Cloud Data Lakes: Enabling New Business Analytics at High Scale and Low Cost

    This webinar will discuss the business benefits of data lakes, the benefits of deploying a data lake in the cloud (and how use cases and technology requirements affect your platform choice), and why substantial data integration is necessary. more

  • Six Best Practices to Ignite the Customer Experience with IoT

    Learn how to deliver targeted, effective customer experiences and become more customer-centric by processing data from IoT devices and applications. We'll explore using advanced analytics and AI to derive predictive and prescriptive insights that differentiate your customer experience. more

  • The Many Faces of Metadata Management: From Data Catalogs to Data Governance to BI Operations

    Deepen your understanding of metadata management, where it's headed, and how it can address data management and integration challenges in BI reporting, analytics, data migration, and regulatory adherence. Learn how metadata management, data catalogs, and business glossaries differ. more

  • Expanding Analytical Horizons in the Cloud

    Learn how you can leverage cloud computing to complement your traditional data warehouse with data discovery and uncover new use cases for your data. We’ll examine the economic, performance, and competitive business benefits of cloud platforms for integrated advanced analytics. more

  • Augmenting BI and Analytics in the Age of AI and Big Data

    Learn about key trends in BI and analytics based on research findings in a just-published TDWI Best Practices Report: "BI and Analytics in the Age of AI and Big Data." We'll cover priorities for augmenting BI, analytics, and data preparation with new AI capabilities, in particular to capture value from big data and cloud data systems. more

  • What’s Ahead in Data Management in 2019?

    Data is evolving into larger volumes from new sources in a wide array of structures, containers, and interfaces. An expert panel discusses data management trends, including new data platforms (Hadoop, cloud computing, and columnar databases), cloud data management, advancements in data catalogs and metadata, and data governance and stewardship. more

  • Facilitating Analytics in the Cloud

    Explore two different aspects of analytics in the cloud: cloud migration challenges and best practices and how Tableau’s visual analytics platform can be integrated with cloud services to provide self-service access to a broad range of reporting and analytics functions. more

  • What’s Ahead in Analytics in 2019?

    Experts discuss the hottest trends in analytics, including: predictive analytics/machine learning/AI, self-service analytics, robotic process automation, and intelligent and automated analytics. more

  • Best Practices for Real-Time Analytics for High Data Volumes

    Learn about hybrid transactional/analytical processing, an alternative architecture that can simultaneously balance transactional and analytical processing. We’ll explain how you can reduce traditional (ETL), manage data storage according to usage, and perform in-memory data management. more

  • Best Practices for Managing and Monitoring Open Source Predictive Models

    Building a predictive analytics/machine-learning model is far earlier than deploying one, which can take six months or more. Learn how to overcome deployment challenges and monitor models in production, the role open source plays, and what technologies can help support deployment of these models. more

Upside

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    Upcoming TDWI Events

    Conferences, Leadership Summits, Seminars, and Bootcamps

    • Conference TDWI Las Vegas Conference TDWI Las Vegas Conference

      February 10-15, 2019
      Early Bird Ends January 18

      No matter your challenge, TDWI Las Vegas delivers the most applicable training on your top data and analytics challenges from the industry’s most respected thought leaders and practitioners. Walk away with the skills and best practices you need to advance your data and analytics initiatives now.

    • Strategy Summit TDWI Las Vegas Strategy Summit for Analytics TDWI Strategy Summit for Analytics

      February 11-12, 2019
      Early Bird Ends January 18

      The TDWI Las Vegas Strategy Summit for Analytics offers leaders the chance to discover new capabilities for analytics and learn how to implement advanced analytics like machine learning, AI, and data science initiatives. Attend a workshop, view case studies, and learn about new technologies from industry thought leaders at this two-day event.