Data & Analytics 2021, Part 2: Evolving Trends & What’s Next

Presented by

Eric Topham | Dr. Sue Tripathi | Berit Hoffmann | Kiara Thomas

About this talk

Gartner predicts that “by 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling”. Over the course of the history-making 2020-21 period, data analytics has evolved together with AI to produce more accurate predictions and educated suggestions. Join Eric Topham alongside a panel of industry experts and thought leaders for part two of our Business Intelligence Report episode “Data Analytics 2021: Defining Trends and Trajectories,” where we will continue our exploration of the ways data and analytics are transforming human-machine relationships and what’s next on the horizon. This sequel episode, “Data & Analytics 2021, Part 2: Evolving Trends & What’s Next,” will look at evolving data and analytics trends over the course of 2021, including expectations versus realities in these unprecedented times. Topics to be covered during this session include: -How data collection and usage is continuing to pivot due to effects of the COVID-19 pandemic -Which data & analytics practices have proved most relevant in 2021—and which have been rendered obsolete -Updates on emerging data visualization techniques, building data narratives, using external data, evolving data dashboards & more -Next-gen enterprise tech and tools when it comes to leveraging data & analytics that drive success -And more Speakers: - Eric Topham, CEO & Co-Founder at The Data Analysis Bureau - Dr. Sue Tripathi, Managing Director, Data and Analytics, Global Services at NTT DATA - Berit Hoffmann, Chief Product Officer at Sisu - Kiara Thomas, Chief Executive Officer at Quality Resolution Systems

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Sisu enables organizations to operationalize all their data to empower everyone to make the best possible decisions. As the industry’s first decision intelligence engine, Sisu helps teams leverage their data to quickly understand what’s happening, why it’s happening, and how to take action. Based on years of research at Stanford University and proven at Microsoft and Facebook, the Sisu proprietary engine uses scalable machine learning to analyze cloud-scale data in real-time to surface relevant business insights in seconds. Innovative organizations worldwide — including Samsung, Wayfair, Mastercard, Gusto, and more — rely on Sisu to make the best decisions for their business. To learn more about Sisu, visit