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LEADING-EDGE ANALYTICS

Explore Leading-Edge Analytics Content

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Webinars

  • Modernizing Your Approach to Reporting and Analytics

    In this webinar, we recommend modernizing the organizational approach to analytics as you modernize the reporting and analytics environment. Learn why you should avoid a "lift and shift" approach and how and why to transition from data ingestion to data onboarding. March 25, 2021 view now

  • Modernizing Your Approaches to Data Architecture

    In this webinar, we discuss a variety of components that can be simplified using a modernized, platform management approach to data architecture and analytics, including a discussion of hybrid cloud environments and data platforms, data warehouses, and data lakes. March 24, 2021 view now

  • Building Modern Data Applications in the Cloud

    In this webinar we consider approaches that simplify the ways modern data applications are built in the cloud through adoption of more sophisticated "as-a-service" platform capabilities. March 18, 2021 view now

  • Cloud Data Warehousing Straight Talk

    In this webinar we will explore the different corporate personas about cloud data warehouse architectural paradigms and provide some "straight talk" about the current state of the art in data warehousing. March 11, 2021 view now

  • The Rise of Cloud Data Lakes: Power with Data in 2021

    In this webinar you'll hear how Aegon, working with Amazon Web Services and Qlik, built a cloud-led environment that has accelerated data delivery while meeting strict data privacy and security needs. March 10, 2021 view now

  • Refactoring the DBA Role for Cloud Analytics

    Join us for a webinar about the changing role of the DBA as organizations migrate their data and analytics to the cloud. We'll discuss how the role of the DBA has changed to support the new capabilities of the cloud environment and how successful companies have positioned their staff to succeed. February 24, 2021 view now

Team Training

  • 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 Developing Data Analytics Literacy Workshop

    Advances in data analytics are creating new opportunities to help organizations compete, innovate, and generate new value. However, the ability to transform these opportunities into tangible business results depends on business professionals who can understand, interpret, and apply digital content in a variety of forms. more

  • Data Understanding and Preparation for Business Analytics

    One challenge in the data science lifecycle is understanding the problem or opportunity, the next challenge is acquiring, understanding, and preparing data for the modeling phase. This step in the data science process is estimated to take up to 50% of the time allotted for a data science project. more

  • Data Warehousing in the Cloud

    Join us to discuss this new landscape, a revised approach to building it, and how to tap into its flexibilities to scale up and scale out for machine learning and data science. We will discuss this new system and the new data architecture approach and thinking that it requires. more

  • Introduction to Cloud Databases

    Cloud computing databases are extremely popular for reducing IT complexities and operational costs. They avoid the hassle of licensing, traditional procurement, maintenance and installation involving huge number of IT staff. more

  • Hands-on: Predictive Analytics with Excel—Linear Regression Made Easy

    Whether you are an Excel-based analyst looking to improve your skills or a manager interested in understanding the linear regression models produced by analytics teams, this is the class for you. more

Upcoming Event Courses

  • 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 Developing Data Analytics Literacy Workshop

    Advances in data analytics are creating new opportunities to help organizations compete, innovate, and generate new value. However, the ability to transform these opportunities into tangible business results depends on business professionals who can understand, interpret, and apply digital content in a variety of forms. more

  • Data Understanding and Preparation for Business Analytics

    One challenge in the data science lifecycle is understanding the problem or opportunity, the next challenge is acquiring, understanding, and preparing data for the modeling phase. This step in the data science process is estimated to take up to 50% of the time allotted for a data science project. more

  • Data Warehousing in the Cloud

    Join us to discuss this new landscape, a revised approach to building it, and how to tap into its flexibilities to scale up and scale out for machine learning and data science. We will discuss this new system and the new data architecture approach and thinking that it requires. more

  • Introduction to Cloud Databases

    Cloud computing databases are extremely popular for reducing IT complexities and operational costs. They avoid the hassle of licensing, traditional procurement, maintenance and installation involving huge number of IT staff. more

  • DataOps: How to Deliver Analytics Better and Faster

    DataOps brings together data managers and data consumers through agile data management processes that account for data engineering, integration, data quality, and governance on an open platform that streamlines efficient development, continuous delivery, and overall data unification. While this may sound daunting, this half-day course will help you understand the efficiencies DataOps can deliver for your organization and how to focus on the next steps of your journey. more

  • Hands-on: Predictive Analytics for Everyone with Excel—Linear Regression Made Easy

    Whether you are an Excel-based analyst looking to improve your skills or a manager interested in understanding the linear regression models produced by analytics teams, this is the class for you. Want to know the best part? No programming or difficult mathematics are required! more

  • Developing Your Cloud Data Architecture

    Day one of this seminar begins with a view of relevant business initiatives and how to translate them into analytics capabilities and priorities. This provides the drivers for an enterprise data and analytics framework that addresses an organization’s maturity and gaps. The day continues with unbiased essential technology primers on cloud environments and database technologies for analytics and a logical reference architecture that includes data lakes, data warehouses, data hubs, analytics sandboxes, and data science platforms. more

  • Building an Actionable Roadmap for the Cloud

    Devising a cloud architecture roadmap is specific to every organization and influenced by a set of guiding agile architecture principles, and when done properly the result is an actionable roadmap of minimum viable projects that is compelling for business sponsorship and support. more

  • Hands-on: Predictive Analytics with Excel—Linear Regression Made Easy

    Whether you are an Excel-based analyst looking to improve your skills or a manager interested in understanding the linear regression models produced by analytics teams, this is the class for you. more