January 27 - 29, 2019
Hyatt Regency - Mission Bay, San Diego, CA

Day 1: Sunday, January 27th

10:00 am - 10:40 am Registration

10:40 am - 10:45 am Welcome Orientation

10:45 am - 10:55 am Thoughtexchange Technology Introduction

10:55 am - 11:00 am Chairperson Official Welcome to IQPC’s Chief Data & Analytics Officer Exchange

11:00 am - 11:40 am Debunking The Objections To Create True Adoption Of A Data Driven Culture

Don Gray - Chief Data Officer, S&P Global Ratings
We are past the point of getting “Buy In” to a Data Driven Culture but well short of total top down and organization wide adoption of that culture.  Hear how data executives have turned leaders into evangelists, broken down silos, made data easier to access and interpret and made every decision a decision backed up by data.

•Get Top Down support for the Data Driven Culture
•Make data accessible to all employees to make quick decisions
•Reward changes in behavior towards Data Driven Decisions

Don Gray

Chief Data Officer
S&P Global Ratings

11:40 am - 12:10 pm Using Real Time Analytics To Optimize Inventory, Pricing & Placement

Joey Jablonski - Vice President, Data Engineering & Analytics, iHeartMedia
The radio industry is going through monumental shifts in how listeners consume content, how advertisers target cross sections of buyers and artists measure their impact on the industry.  As the largest owner of radio stations in the United States , iHeartMedia (iHM) is at the center of this transformation.  iHM leads the way in applying research and understanding market trends to provide richer listening experiences and an increasing ROI for advertisers.

Learn how iHM uses analytics for optimizing inventory of spots, programs radio stations to maximize the positive impact on ratings and the empowering a highly distributed sales team operating in 150 unique markets across the US.  While the radio industry is highly specialized and the scale of iHM operations eclipses all competitors, the application of principals including inventory management, pricing optimization and ROI/attribution visibility have broad applicability across industries.  This session will cover lessons on both technology and organizational change that have enabled iHM to go on this journey of improvement.


Joey Jablonski

Vice President, Data Engineering & Analytics

12:10 pm - 12:40 pm How To Build An Intelligent Customer 360

In the era of big data, most organizations have a lot of customer information residing across many systems.  But customer profiles tend to be less than 20% complete. Getting to 100% doesn’t happen all at once, it requires identification of business challenges and priorities as well as a strategy to bring the right data components together.
This session will share common customer-centric initiatives and identify which capabilities are needed to address each one.  He will also provide a how to framework for how AI, ML and NLP can be used to build an intelligent Customer 360 and give examples of how two enterprises are acting on intelligent data.

12:40 pm - 2:40 pm Lunch And Afternoon Networking Activity Sponsored By Thoughtexchange

2:40 pm - 3:10 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 the growing need for analytics with few good examples available to follow.  Chief Data Officers are to define and implement strategies to support these needs. However, CDOs are often inherit unwieldy organizational structures and siloes that are make their task complicated, stressful and, most importantly, 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, key success factors, and how CDOs can avoid some of the not-so-apparent mistakes.

Mohammed Mahbouba

Chief Data Officer
UCLA Health

3:10 pm - 3:40 pm Business Meeetings

3:40 pm - 4:10 pm Business Meeetings

4:10 pm - 4:40 pm Business Meeetings

4:40 pm - 4:50 pm Networking Break

Master Class

4:50 pm - 5:35 pm Using AI As A Proactive Approach To Data Quality
One of the biggest challenges for enterprise wide adoption of data informed decisions is a lack of confidence in the quality of the data being analyzed.  It is not simply frustrating when the data being processed isn’t correct, it undermines confidence and adoption of the data driven culture.
•How a proactive approach to data quality instills confidence in the resulting analytics
•Help business users make quick and impactful decisions 
•Avoid frustration and wasted time from faulty data


4:50 pm - 5:35 pm How Data And Analytics Are Aligning Hr Activities With Business Objectives
Human Resources’ ability to predict the future needs of the enterprise has an increasingly critical relationship to the ability of the organization to implement and achieve new business objectives however fewer than one in five CHROs feel that they are a truly set up to be anticipatory.  Using analytics allows HR leaders to identify the skills, people and development that will be required to attain the desired business outcomes well into the future.

5:35 pm - 6:10 pm Raising Data Literacy Across the Entire Organization

The majority of enterprise decision makers do not consider themselves to be data literate.  Only a third of C-Level executives consider themselves data literate.  This session will examine the impact on the business if the majority of the enterprise does not feel comfortable in making data driven decisions or arguments.

Learn how to improve data literacy across the organization to:

•Increase the ROI from data investments by accelerating adoption through greater enterprise wide data literacy
•Increase the confidence of decision makers to make quick, impactful data driven decisions

6:10 pm - 6:25 pm Your Competitive Edge Starts Here

With the proliferation of data management, IoT and other machine-generated information, the business requires a Digital Business Core of operational data that is continuously shaped and delivered to produce superior business outcomes. Meet Stibo Systems, the driving force behind hundreds of forward-thinking companies around the world who have unlocked the full value of their information. This session will explore how Stibo Systems is empowering business users to act with confidence in their data, adapt quickly to changing market conditions and go beyond to anticipate what’s next.

6:25 pm - 6:35 pm Replatform Teradata to the Cloud Without Rewriting Applications

6:35 pm - 6:45 pm Beyond ‘Off-the-Shelf’ Analytics

6:45 pm - 7:15 pm Networking Cocktail Reception