2021 Data & Analytics Summit Video Resource Center

Thank you to all our attendees, sponsors, and speakers at the second annual Great Lakes Data & Analytics Summit on March 9-11, 2021. It was a successful virtual event that brought over 350 analytics professionals together for a three-day forum to exchange innovative ideas, explore new technologies and products, network, and glean some insights from real-life case studies.

Each day offered three hours of live content from practitioners and the leading experts in the field on a particular topic. A keynote speaker opened each day followed by sponsored sessions that will feature case studies using the latest technology.

Day 1: data analytics

User interfaces for better decision-making, self-service, and data storytelling. Live-streamed sessions this day will focus on analytics topics including; data discovery, data storytelling, analytics automation, and self-service tools

The Future of Data and Analytics: Game-Changers on the Horizon

Wayne Eckerson, President - Eckerson Group

Based on his 30-years of experience in data and analytics, Wayne Eckerson will examine the past, present, and future of data and analytics. He'll show how there is a growing data divide between data "laggards" and data "leaders". He'll identify the key issues that prevent organizations from delivering value with data, and discuss new game-changing techniques and technologies that promise to change the equation. He'll devote equal time to the "soft" stuff of people, process, and organization and the "hard" stuff of tools, technologies, and architecture. These new approaches promise to create an analytics culture that enables organizations to better turn data into insights and actions.

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Using Data, Analytics, and Visualization to Reopen Stores Post COVID-19 Shutdown

Gary Gruccio, Signet Jewelers

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Embedded Analytics: Expanding the Use of Your Analytics

Lindsey Turcotte, Qlik

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Drawing Meaningful Comparisons From Hospital Data Using Visualization Software

Gloria Kupferman, American Hospital Association

Execution Management Systems EMS - Unlocking Execution Capacity to Maximize Your Business Performance

Dean Sutherland, Celonis

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Day 2: data science

Predictive and automated machine learning models for advanced analysis. Live-streamed sessions this day will focus on data science topics including; building a data science team, data mining, and the latest technology supporting machine learning.

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Model Operations: Developing Machine Learning Solutions in a Transparent, Reliable and Repeatable Fashion

Yash Prasad, Associate Manager of Data Science & Eric Robinson, Manager of Analytics Engineering at AAA Life Insurance

Join Yash and Eric for a short walk through AAA Life’s Model Operations (ModelOps). ModelOps is a framework for building models that are performant, reliable, stable, and most importantly - transparent.

The Role of the Business Analyst on the Data Analytics Team

Emilie Ofiara, Stellantis & Karin Jenson, DataRobot

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Graph Analysis for COVID-19 Contact Tracing using Neo4J

David Corliss, Stellantis

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Transform Data Into Timely Insight with Preventative Maintenance

Aashish Majethia, Dataiku

Why Your Data Science Teams Need to Build Experiences - Not Models

Jorge Lozano, Steelcase

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Day 3: data engineering

Automation of data pipelines and cloud data platforms. Live-streamed sessions this day will focus on data engineering topics including; data transformation tools, self-service data catalogs, and data warehouses in the cloud.

Microsoft's Data Transformation Journey

Susan Meldahl, Director of Business Programs: Data & AI - Microsoft

Join Susan Meldahl as she dives into Microsoft's data transformation journey. Susan is a seasoned data strategy veteran and has played a lead role in developing Microsoft's own corporate Data Strategy. Her expertise has been pivotal in turning Microsoft's Data Strategy journey into a repeatable global solution. In turn, this approach has helped Microsoft's customers decrease their time to insights, free up intellectual capital, and increase their competitive advantage.