By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

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

  • Designing and Deploying Effective Architectures for End-User Analytics

    This webinar will canvas the trends driving up the complexity of data architecture and offer guidelines for designing and deploying architectures that satisfy the business and technical requirements typical of today’s data. We’ll also explore the role of the cloud in new data architectures. more

  • Storytelling: A Critical Part of Analytical Comprehension and Usage

    Every picture, every analytical result tells a story. Learn how to construct the story behind the analytical story, the skills needed to create the story, and what technologies can assist the storyteller. more

  • Preparing for the Cloud Data Platform

    Learn how to successfully use cloud data platforms. We’ll define the options and explore the relationships among cloud providers, multicloud, cloud data platforms, cloud data warehouses, and cloud data lakes and the real-world use cases and infrastructure roles for cloud data platforms. more

  • Data Management for Advanced Analytics

    Learn about the business and technology trends and business use cases driving the need for data management for advanced analytics. We’ll examine benefits and barriers, plus how these affect user planning and tool choice as well as tool and platform requirements for common use cases. more

  • Six Critical Capabilities of a Logical Data Fabric

    This webinar discusses important capabilities of the logical data fabric to deal with modern data management and analytics efforts, including data analyst enablement across the hybrid and multicloud data landscape and techniques for seamless real-time data integration there. more

  • Micro-segmentation: What It Is and Why It Is Important in a Post-COVID-19 World

    Join TDWI and representatives from Talend and Wavicle Data Solutions to learn more what micro-segmentation is, how it works, and why it’s important. Learn about the data, analytics, and architectural requirements to support it and the advanced analytics trends supporting customer behavior analysis. more

Onsite Education

  • Hands-on Machine Learning with TensorFlow

    Machine and deep learning capabilities are in demand, and Python is the fastest-growing tool in machine and deep learning. TensorFlow is a Python library for fast numerical computing created and released by Google that is used in deep learning and primarily focuses on neural networks. more

  • TDWI Predictive Analytics Principles and Practices

    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

  • TDWI Business Intelligence and Analytics Foundations: Charting the Course to Data-Driven Success

    Business intelligence has evolved dramatically since its introduction over a quarter of a century ago. It is now integrated into many business planning, decision-making, and operational practices and has expanded to provide new capabilities for insight, forecasting, planning, agility, and strategy execution to meet dynamic business needs. more

Upcoming TDWI Conferences

  • Conference TDWI Orlando Conference Renaissance Orlando at Seaworld

    November 8–13, 2020
    Super Early Bird Ends Sept 11

    Plan for the future of data and analytics and head to Orlando for a week of sunshine in November. This conference features forward-thinking trends in the industry with hands-on training in data lakes, multi-platform data architecture, self-service analytics, and data virtualization.