TDWI Seminars

Extending BI and Analytics to the Mobile Workforce


Wednesday, February 22, 2017
9:00 a.m. PT, 12:00 p.m. ET

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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

  • TDWI Analytics Fundamentals

    A full course overview of analytics, from foundational principles to how and why to implement. more

Onsite Education

  • TDWI Enabling Technologies for Agile BI

    Interest in agile BI is high, but adoption and success rates are lagging behind. The lag occurs primarily because agile methods that evolved for software development don’t necessarily fit the needs and complexities of BI projects. more

Research & Resources

  • Best Practices Report | Data Science and Big Data: Enterprise Paths to Success Data Science and Big Data BPR Dec 2016 cover

    Big data and data science can provide a significant path to value for organizations. Download this report for organizations’ experiences with and plans for big data and data science including both technology plans and organizational strategies. more

  • TDWI Checklist Report | Data Modernization for the Telecommunications Industry Data Modernization for the Telecommunications Industry

    Now is the time for the telecommunications industry to devise a strategy for modernization of the data management environment in ways that streamline the end-to-end processes for ingesting, transforming, loading, reporting, delivering, and analyzing data. This Checklist Report describes a vision for the future that includes using an architecture that leverages a hybrid environment combining traditional enterprise data warehouse (EDW) techniques with the ability to deploy augmentation tactics on big data environments, such as those built using the Hadoop ecosystem. more

  • TDWI Checklist Report | Best Practices for Data Lake Management Informatica Data Lake Management Checklist Cover

    A data lake ingests data in its raw, original state, straight from data sources, with little or no cleansing, standardization, remodeling, or transformation. These and other data management best practices can then be applied flexibly as diverse use cases demand. Most data lakes are built atop Hadoop, which enables a data lake to capture, process, and repurpose a wide range of data types and structures with linear scalability and high availability. more

  • Best Practices Report | BI, Analytics, and the Cloud: Strategies for Business Agility Q4 BPR thumb

    The cloud is becoming a mature platform for data management, integration, business intelligence (BI), and analytics. Download this report for an examination of organizations’ experiences with and plans for cloud BI and analytics, new cloud models, and what organizations should consider when moving to the cloud. more

  • TDWI Checklist Report | Governing Big Data and Hadoop Talend Governing Big Data Checklist thumb

    Big data presents significant business opportunities when leveraged properly, yet it also carries significant business and technology risks when it is poorly governed or managed. more

Upside

  • Desire for Mobile BI Continues to Increase

    Almost three-quarters of users count on mobile access to BI insights, according to a new survey. Supported by improved technology and users' desire for more data access, mobile BI is growing in a big way. more

  • TDWI 2016 Salary Survey: Gender Pay Gap Remains

    According to TDWI research, the gender gap in BI-related fields widened in 2016. There are many reasons why women are earning less than men in these jobs. more

  • AI in the Crosshairs

    At the 2017 World Economic Forum meeting, tech industry leaders openly discussed some of the ethical and societal challenges facing the current surge in big data-driven AI. more

NEW!

Upcoming TDWI Events

Conferences, Executive Summits, Seminars, and Bootcamps

  • Accelerate TDWI Boston Accelerate TDWI Accelerate Boston

    April 3-5, 2017

    ACCELERATE brings together the brightest minds in data to share their expertise and insight on the future of data science and analytics. From sessions on core data science skills, to learning how to use new big data tools such as R, Python, and Spark, to talks on the latest trends in machine learning, predictive analytics and artificial intelligence, attendees will learn from industry experts, receive valuable training, and network and share ideas with their data peers in an exciting and collaborative environment.

  • Conference TDWI Chicago Conference

    May 7-12, 2017

    TDWI Chicago addresses our greatest data challenges head-on: Data streaming, enriching your data lake with new information sources, and connecting to spectrum of IoT. You will leave TDWI Chicago’s 6-day in-depth conference with the skills and insights to design, build and analyze your organization’s data.

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