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Enterprise Data Strategy Board Meeting

September 11-12, 2024ㅤ•ㅤChicago, IL

Board Meeting Agenda

To see what types of sessions you can expect at this meeting, download last year’s agenda here.

Wednesday, September 11

11:30 AM

Registration opens

12:00 PM

Lunch Discussion

Get here on time and grab a seat at the table. This sit-down lunch is your first opportunity to meet all of the great data and analytics leaders you’ll get to know at the Board Meeting.

12:40 PM

Break

12:50 PM

Welcome & Introduction

1:00 PM

Show & Tell: AI and data mesh: Revolutionizing Workday’s data strategy with reliable data products


Joe DosSantos, Workday

AI is advancing rapidly and will soon accelerate or even replace the work of many data science efforts. But all of this is reliant on trustworthy data products made available in a carefully managed data mesh. Joe DosSantos, Vice President of Enterprise Data and Analytics, will take us behind the scenes into Workday’s data strategy, their vision, and their path to develop a robust operating model that focuses on the business outcomes that leaders care about.

1:30 PM

Break

1:45 PM

Show & Tell: Not another dashboard: Best Buy’s journey to a visualization COE


Jeff Nieman, Best Buy

Jeff Nieman, Senior Director of Data Strategy and Visualization at Best Buy, will share how they created a visualization COE — taking ~1,000 reports and dashboards and transforming them into quality visualizations. The session will cover the principles in creating great visualization, standards, style guides, and a quest toward genuine data storytelling.

2:15 PM

Break

2:30 PM

Show & Tell: Empowering data stewardship leveraging a data catalog


David Nyquist, McKesson

Join David Nyquist, Director of Data Governance at McKesson, as he demonstrates the power of using data catalog capabilities to activate adoption, accountability, and trusted data usage across business data owners and stewards. He will share how utilizing a persona-based approach enables everyone to recognize and fulfill their critical roles in delivering trusted insights and driving innovative business outcomes.

3:00 PM

Snack Break

3:30 PM

Show & Tell: Unlocking the power of data: Inside American Express’ analytical data hub


Sahil Sabharwal, American Express

In today’s data-driven world, gaining a competitive edge hinges on effective data utilization. Join Vice President of Enterprise Data Platforms Sahil Sabharwal as he unveils how American Express has developed a central platform transforming data into actionable insights. Discover how employees across the organization are enabled to drive informed decisions that fuel business growth and success.

4:00 PM

Break

4:15 PM

Show & Tell: AI governance: McDonald’s path to responsible AI


Matt Sandler, McDonald’s

Matt Sandler, Senior Director of Data and Analytics, will reveal the inner workings of McDonald’s AI governance strategy. Discover how they navigate legal compliance, security measures, and risk management, as well as their processes for internal coordination, approval, and alignment. In this confidential discussion, you’ll learn firsthand how McDonald’s engineering approach covers risk zones and provides proactive notifications, while setting a standard in responsible AI practices.

4:45 PM

Adjourn

5:00 PM

Private Dinner

Following our afternoon of conversations and Show & Tell Talks, we’ll all go out for a fantastic dinner together. It’s a perfect opportunity to connect with your fellow members before a big day of brainstorming, discussion, and collaboration.

Thursday, September 12

8:00 AM

Breakfast Discussions

The conversations over coffee and eggs at this event are often more lively than any other conference’s happy hour. You’ll want to be here bright and early (and on time).

8:50 AM

Break

9:00 AM

Welcome Back

9:05 AM

Member-Led Discussion: Teaming up for data: Engaging stakeholders for data success


Heidi Perry, Prime Therapeutics

Data professionals naturally see the value in data management, but for many others in an organization, it’s not so clear. Why do “non-data” partners struggle to grasp its importance? Join Prime Therapeutics’ IT Manager of Data Governance, Heidi Perry, as we explore the challenges, lessons learned, and strategies for turning data management into a collaborative team effort. Discover how to bridge the gap and make data a team sport.

9:35 AM

Break

9:45 AM

Member-Led Discussion: Data monetization: Strategies to unlock the value of data


Jen Fronzaglia, Walmart

How can organizations identify and prioritize valuable data assets, explore direct monetization strategies, and leverage data marketplaces effectively? Join Walmart Group Director of Enterprise Data Strategy Jen Fronzaglia as we delve into these topics, discussing essential technologies and tools, addressing data quality and management, measuring ROI, and anticipating emerging trends in data monetization. Discover how to turn data into a strategic asset for your organization.

10:15 AM

Snack Break

10:35 AM

Member-Led Discussion: Cracking the code: Overcoming barriers to effective data governance


Tijuana Willis, Zurich North America

Implementing effective data governance practices presents a myriad of challenges. Join Zurich North America Vice President, CDO Governance Tijuana Willis as we explore strategies to tackle some of these hurdles, including defining data governance roles and responsibilities, overcoming resistance from external teams, and implementing effective training programs. Gain insights into building a resilient data governance framework that elevates data quality across your organization.

11:05 AM

Break

11:20 AM

Member-Led Discussion: Generative AI: Charting a path from strategy to success


Sanjay Sidhwank, Valley Bank

How do you develop a comprehensive strategy and roadmap for Generative AI within your data organization? What are the best practices for securing the right level of sponsorship, and how can you effectively demonstrate the value of investments in Generative AI? Join CDAO Sanjay Sidhwani from Valley Bank as we delve into these crucial topics, discussing the available AI tools and success metrics that ensure a return on investment, and discover how to navigate the complexities of Generative AI.

11:50 PM

Lunch Discussions

12:50 PM

Break

1:00 PM

Unconference Round 1

EXAMPLE TOPICS:

  • Embedded vs centralized data science analysis
  • Change management and adoption best practice
  • Data catalog evolution and vendors
  • Data centers of excellence (COE)

1:30 PM

Unconference Round 2

EXAMPLE TOPICS:

  • AI governance, ethics, policies and standards
  • One brain: Enterprise ecosystems of edge AI models
  • Cloud migration: Lessons learned and vendors
  • Data quality: Planning for sustainability

2:00 PM

Snack Break

2:20 PM

Unconference Round 3

EXAMPLE TOPICS:

  • Metrics and ROI
  • Data lineage (automated) from on prem to cloud to end consumers
  • Maximizing PowerBI
  • Data ethics programs

2:50 PM

Unconference Round 4

EXAMPLE TOPICS:

  • “Data as a product”
  • Data governance in a discovery environment
  • Data transformation tools
  • CDO vs CAO: Defining responsibilities

3:20 PM

Adjourn