Day 1: Sunday, January 21st

11:00 AM - 11:45 AM Welcome Brunch and Registration

11:45 AM - 12:00 PM Sponsor Orientation

11:45 AM - 12:00 PM Delegate Orientation

12:00 PM - 12:20 PM Kickoff Networking Activity

12:20 PM - 12:25 PM Chairperson Official Welcome to IQPC’s Chief Data & Analytics Officer Exchange

Opening Keynote Address

12:30 PM - 1:00 PM Translating Information into Profits: Effective Analytics Journey

Jose A. Murillo, Chief Analytics Officer, Banorte
Organizations are making large investments in analytics and data with the promise of huge yields. However, after some years of significant investments it is too often the case that these companies cannot show a large quantified impact. Demonstrating the power of value creation is a necessary condition to establish a sustainable analytics practice within firms and for chief analytics officers to become relevant key players within the C-Suite.

Learn about the Journey of building an effective Analytics organization, which contributes to the profitability of the organization.

Join us in this illuminating discussion as we review:

•Analytical value creation
•Setting the right incentive scheme –Analytics as a profit center
•Ingredients to demonstrate the value of analytics
•Measuring the impact of analytics
•Communicating the results


Jose A. Murillo

Chief Analytics Officer

1:05 PM - 1:35 PM Building Enterprise Analytical Capabilities from the Ground up – Challenges and Opportunities for CDOs

Mohammed Mahbouba, Chief Data Officer, UCLA Health
Many organizations are struggling with putting together the right organizational structure, technologies and processes to support growing need for analytics with few good examples available to follow. Chief Data Officers are being hired to outline and rollout strategies to support these needs but they are inheriting organizational structures and silos that are complicating their job and rendering them less effective. We will briefly describe the journey UCLA’s CDO took over the past five years to build state-of-the-art analytical capabilities from the ground up. We will also discuss lessons learned and how CDOs can avoid some of the mistakes and leverage proven best practices. As well as how the role of CDO is evolving and potential adaptation strategies.

Join this session as we deliberate best practices to:

  • Institute one dominant analytical group with critical mass of resources to enable large-scale projects

  • Obtain the full range of skill sets required to build strong capabilities and support the enterprise

  • Provide appropriate career path and cross-learning opportunities

  • Establish central demand management function and visibility into total demand

  • Create organizational awareness of total spend on analytics – often much more than they think

  • Designate decision making power for the analytic professionals and leaders

  • Implement, activate and take advantage of tools that are already available to the organization

  • Mitigate difficulties in dealing with strategic data issues

Mohammed Mahbouba

Chief Data Officer
UCLA Health

1:40 PM - 2:10 PM Business Meeetings

2:15 PM - 2:45 PM Business Meeetings

2:50 PM - 3:15 PM Networking Break

Master Class A

3:20 PM - 4:05 PM Keeping up with the New Generation Customer's Expectations

The Millennials and Gen Z have been surrounded by innovation their entire lives, therefore staying on top of the trends and integrating data collection tools to every new technology on the market is becoming increasingly difficult. Explore methods to staying relevant with emerging trends, and best practices for quick data integration.

Join us for this illuminating discussion as we talk about the following:

  • Consistently and constantly intriguing the Millennials and Gen Z
  • Staying relevant when trends are always changing
  • New integrative data capture techniques
  • Social media analytics for staying informed

Master Class B

3:20 PM - 4:05 PM Harmonizing Human Decision-Making and Augmented Intelligence

As new decision-making technologies rise in prominence, final verdicts are still safeguarded by humans. Humanizing technology tempts many, but savvy executives who remain skeptical, recognize the potential rewards and risks inherent in this new paradigm. In this session, learn how humans and technology work together through augmented intelligence; and how it creates synergy between technology (AI) and executives.

Explore the effects of augmented intelligence on the different business functions:
  • Leverage human expertise with computational capabilities
  • Increase business transparency with data visualization
  • Create a user-friendly platform for the whole enterprise

Plenary Session

4:10 PM - 4:55 PM Bridging the Gap Between Organizational Silos and Analytics: Building Towards a Holistic Integrated Platform Strategy Internally

Peter Geovanes, Chief Data & Analytics Officer, Winston & Strawn
Overcoming organizational barriers and silos is the first step in aligning data analytics, processes, technologies and infrastructure throughout the entire enterprise in order to enable strategic decision making while creating applicable intelligence insights through data. Therefore it is mission critical to remedy the structural, political and growth dichotomy embedded into many organizations in order to drive business outcomes.

In this session you will hear best practices for bridging the gap:
  • Recognize the key stakeholders within the organization through planning and initiate access to key systems
  • Identify varied data within the organization to enable broader decision-making capabilities
  • Tie integration and application together in order to create value early on
  • Improve operational efficiency, business alignment and reduce inefficiencies through strategic synthesis of information and analytics


Peter Geovanes

Chief Data & Analytics Officer
Winston & Strawn

5:00 PM - 5:30 PM Business Meetings

5:35 PM - 6:05 PM Business Meetings

Panel Discussion

6:10 PM - 6:40 PM Shifting the Focus from Data Governance to Value

Jason Fishbain, Chief Data Officer, University of Wisconsin Madison
The business outcomes and really flushing out the value being driven is as important as ever; however, data science teams become too focused on the mechanics of the data process, such as data quality and data governance, and lose sight of the value. Organizations attempt to define target enterprise data models, formats for standard data and an understanding of their inventory, but these goals are not achieved. Moving beyond traditional data governance means leveraging big data and analytics on the data itself to address the issue.

This session will provide a discussion around the following:

  • Redefining the data process to discover true value for the business
  • Leveraging the repository as the hub for the data lake and for deep understanding of data profiles
  • Applying machine learning and tools to drive understanding and uncover value
  • Developing a data-driven unified data model using machine learning and SME crowdsourcing
  • Ingestion of large data volumes using streaming technologies


Jason Fishbain

Chief Data Officer
University of Wisconsin Madison

6:45 PM - 7:50 PM Networking Cocktail Reception