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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

Upside Articles

Research & Resources

Webinar

  • Gaining Faster Insights From Faster Data

    TDWI’s new Best Practices Report examines how organizations can improve practices, strategies, team leadership, and technology use to accelerate speed to insight. The report’s author discusses where organizations are now in reducing latency throughout their data life cycles and how they can improve. more

  • Data Management and Data Warehouse Requirements for Machine Learning and AI

    This webinar will define ML and related technologies and practices in AI and predictive analytics, discuss ML’s use cases, explain data management requirements users must address to successfully apply ML to their analytics, and explain the ML life cycle and the unique data requirements of each stage. more

  • The Why and How of Multicloud Environments

    Learn what a multicloud architecture is all about and why it is becoming popular, explore the benefits, challenges, and best practices for a multicloud environment. more

  • What’s Ahead in Data Management in 2020?

    Join a panel of experts hosted by Philip Russom, TDWI’s lead analyst for data management, as they discuss data management’s most important trends, including evolving data volumes, structures, sources, interfaces, and latencies, new data platforms, cloud data management. more

  • What’s Ahead in Analytics in 2020?

    Join a panel of experts, moderated by Fern Halper, TDWI’s lead analyst for advanced analytics, as they discuss the hottest trends in analytics, including predictive analytics/machine learning/NLP/AI, augmented intelligence, DataOps, and evolving data infrastructures to support analytics. more

  • Future Analytics: Organizational Readiness and Successful Deployment

    This roundtable will explore future analytics environments, including a discussion of high-level architectural alternatives for analytics, prioritizing analytics use cases, data resource mapping, data pipeline orchestration, and leveraging the right technology frameworks. more

Onsite Education

  • Hands-on Data Science in R (Updated)

    With the advent of big data, there is an increased focus on data mining and the value that can be derived from large data sets. Data mining is the process of selecting, exploring, and modeling large amounts of data to uncover previously unknown information for business benefit. more

  • TDWI BI and Analytics Executive Briefing

    Business intelligence and analytics are at the heart of business management today. Everyone from executives to knowledge workers depends on information to maximize business effectiveness and efficiency. more

  • TDWI Analytics Principles and Practices: Delivering Business Insight from Data

    Analytics is a hot topic, but also a complex one. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity—unstructured data, big data, social data, data streams, and more. more

Upcoming TDWI Events

Conferences, Leadership Summits, Seminars, and Bootcamps

  • Conference TDWI Las Vegas Conference TDWI Las Vegas Conference

    February 9–14, 2020
    Super Early Bird Ends December 13

    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

    February 10–11, 2020
    Super Early Bird Ends December 13

    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.