About Enterprise Analytics Online

Enterprise Analytics Online will cover key strategies and share how analytics-driven professionals have overcome their data challenges. Tap into the combined expertise of several industry-leading professionals and hundreds of data peers during this day of live, webinar-style sessions. Registration is free and gives you access to all sessions presented throughout the day, the live Q&A with the speakers, plus all recorded presentations and materials after the event has ended.

The Schedule


EAO 2023 - Agenda


From Data to Decisions: The Impact of Generative AI on Analytics

Speaker: Nick White
Senior Director of Data Strategy + Innovation, Kin + Carta

Join us for a thought-provoking discussion on the profound transformation that Generative AI brings to the world of analytics. We will explore how it places an emphasis on Decision Science over other data and analytics capabilities. Through an exploration of Generative AI's unique capabilities and real-world applications, we will reveal how it is poised to democratize data access and reshape the role of analytics professionals, with a focus on harnessing data not just for insights but for informed decision-making. While addressing ethical considerations, we will envision a future where AI augments human decision-making processes, ultimately redefining the role of analytics professionals in this AI-driven era.


Why So Many Data Projects Fail (and How Humans Can Fix Them)

Speaker: Wendy D. Lynch, Ph.D
Founder, Analytic-translator.com


Storytelling with Data

Speakers: Suchitra Gopal
Data Engineering and Analytics Consultant, West Monroe

Madison Leyens
Data Engineering and Analytics Consultant, West Monroe

Humans are designed to tell stories. However, data specialists often do not leverage this most fundamental pattern of human communication to relay critical data to key decision-makers. The presentation takes a deep dive into the components that make stories effective, with respect to human behavior, and discusses the specifics of how data can be shared more impactfully in a storytelling format. Through a series of recommendations and interactive demonstrations, attendees will learn how to hone storytelling techniques for data presentation and fine-tune their visualizations to appeal to pre-attentive processing and human-centered design principles. Stakeholders who see themselves as players in stories they witness from multiple, sensory, data-driven dimensions are much more likely to participate in a call to action than passive, disengaged observers.

Taking you on a journey through our experience navigating intricate data stories, this presentation covers the essential aspects of delivering a compelling datastory:
  • Crafting a story: Personalizing your data story using frameworks
  • Visualizing your story: Incorporating data and statistics to make the story more persuasive while remaining reliable
  • Storytelling Best Practices: Understanding pre-attentive processing cues and engaging with the audience
  • Completing your story: Leaving the audience with a call to action and a memorable story they resonate with

Attend this session to revitalize your view of data communication and harness the evocative potential of datato move organizations to greater heights of innovation through storytelling.



Break 11:00AM - 11:30AM


Keynote: Data Quality: A Key Pillar in Enterprise Analytics

Speaker: Prashanth Southekal,PhD,MBA
Managing Principal, DBP Institute

Analytics is primarily using data to derive insights to measure and improve business performance. Analytics has tremendous potential to improve the company's revenue, reduce expenses, and mitigate risk. A Mckinsey survey indicate that data-driven organizations are 23 times more likely to acquire customers, 6 times as likely to retain customers and 19 times more profitable. Research by MIT found that digitally mature firms are 26% more profitable than their peers. However, data quality is a vital component of analytics success, and many enterprises are plagued with poor data quality. A HBR study found that just 3% of the data in a business enterprise meets quality standards. Research analyst firm Gartner found that 27% of data in the world’s top companies is flawed. So, what can enterprise do to improve data quality? In this keynote speech, Dr.Southekal will share 3 key strategies or solutions on how organizations can acquire quality data for analytics and derive improved business results. This talk is based on Dr.Southekal’s latest book DATA QUALITY: EMPOWERING BUSINESSES WITH ANALYTICS AND AI which is published by Wiley.


AI Ethics & Data Dilemmas

Speaker: Katrina Ingram
Founder and CEO, Ethically Aligned AI

Even before the launch of ChatGPT, Artificial Intelligence (AI) was quickly becoming part of our digital infrastructure and woven into many aspects of daily life. AI has the potential to impact society in many positive ways. However, there are numerous examples of AI systems that are operating in ways that are harmful, unjust and discriminatory. How can we build and deploy better AI that's informed by societal values? In this talk we'll cover the essentials of what you need to know about AI ethics. We'll also explore some "data dilemmas" and discuss how data management professionals can help organizations make better choices about the data used in AI/ML projects.


How Data Products, Data Fabric, and Generative AI Make Self-Service Possible

Speaker: Wayne Eckerson
President, Eckerson Group

Our industry has been on a 30-year march to self-service analytics. The road has been long and dusty with the destination nowhere in sight. Now, two new technologies, along with some hard-won knowledge about how to do data & analytics right, move the promise of self-service analytics from a distant mirage to a real possibility for most organizations. This session will explore the rise of data products, data fabric, and generative AI and how these new technologies and approaches are changing the nature of how business users consume data & analytics.

Official 2023 EAO Sponsors

Interested in becoming a sponsor? Contact Lenore Higgins by email: lenore@dataversity.net or phone: 1-973-934-0315.

Become a Sponsor


Here are a few good reasons why you should register:
  • Registration is free
  • There are six, 40-minute webinars
  • Learn from the best in the industry
  • Experience-based learning
  • Access to all recorded sessions, slides, and materials presented
  • Live Q&A following each webinar session
It's OK if you can't attend the live event. Register, and you will get access to the recordings of all the presentations and links to download the slides.
Yes, we produce several face-to-face events around the country. DATAVERSITY is home to many educational events, online training options, webinars, white papers, articles, and blogs. We're proud to offer the worldwide data community so many educational opportunities, both online and face-to-face. To learn more about what we do, visit dataversity.net.
No, you do not need to pay anything to watch the live sessions presented during this event. When you register, we also give you free access to the on-demand recordings a couple of days after the event.
You should receive your login details immediately following your registration. We also send login info the day before the live event and the morning of, in case you've misplaced it.
DATAVERSITY Education, LLC is an educational and publishing resource for business and Information Technology (IT) professionals on the uses and management of data. Our team strives to provide high-quality educational resources to our worldwide community of practitioners, experts, and developers who participate in and benefit from face-to-face hosted conferences, live webinars, white papers, online training, daily news, articles and blogs, and much more. Visit dataversity.net to learn more.

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