January 26 - 28, 2020 | Hyatt Regency, Phoenix, AZ

Day 2: Monday, January 27th

8:00 am - 8:30 am Networking Breakfast

8:30 am - 8:35 am Chairperson’s Opening Remarks

8:35 am - 9:05 am The New Age of Data Monetization: Leveraging Data in the Age of Data Transparency

Data monetization continues to be a lucrative means to leverage the increasingly large swaths of data that are being collected by enterprises. While this data will surely allow CDAO’s and other key executives to develop an improved, more complete view of the consumer and their preferences, it’s important to take into account the evolving privacy debate when determining a data monetization strategy. This session will take a deeper look into how the shifting regulatory landscape, epitomized by landmark legislation such at the GDPR and CPPA, is shaping consumer sentiment and how to best ensure compliance without sacrificing the strategically lucrative practice of data  monetization.
In this interactive session we will discuss the following:      
•          Determining boundaries of customer privacy and communicating that across the enterprise
•          Justifying geospatial data – improving analytics or invading privacy?
•          Providing context for sensitive personal data in order to make more informed 

9:05 am - 9:35 am Harnessing Continuous Intelligence to Supercharge Omnichannel Growth & Personalize the Customer Experience

Retail analytics quickly emerged as one of the most immediate applications of advanced analytics thanks in large part to the higher degree of personalization that today’s consumers demand. Sean MacCarthy, Global Head of Analytics & Segmentation at Claire’s Stores, will give us a glimpse of some of the strategies he’s leveraging to improve the customer experience while generating operational efficiencies at the brand. He’ll also pay particular focus on using alternative data sources to gain insights into customer segments which traditionally are adverse to sharing data.
Come participate in this session to develop insights into:
·         How blockchain, IoT, and continuous  intelligence can generate significant supply chain efficiencies
·         Why the human element should work in conjunction with ETL to ensure data quality 
·         Crafting your data capture and integration strategy around the unique constraints related to the target market
How to fuel omnichannel growth through sourcing of real-time, high velocity data

9:35 am - 10:05 am Leveraging Dynamic Pricing to Increase Revenue and Manage Demand: Employing Data to Interpret Value Trends and Pricing

Companies frequently face pricing and value analysis challenges.  However, their data may hold the key to setting forth the right strategies to manage existing issues and mitigate potential pricing pitfalls.  This session will demonstrate methods for:
·         Using your data to evaluate value trends and conduce competitor comparisons
·         Determining appropriate pricing for new consumers
·         Balancing legacy vs. new pricing – identifying the pricing range within your existing client-base
Recognizing and correcting disproportionate pricing among your legacy consumers 

10:05 am - 10:20 am Networking Break

10:20 am - 10:50 am Business Meetings

10:50 am - 11:20 am Business Meetings

11:20 am - 11:50 am Business Meetings

11:50 am - 12:30 pm A Hippocratic Oath for Data Science?- Developing an Ethical Framework to Minimize Bias through Data Literacy

As self-service analytics comes closer to fruition, it is critical that data executives begin putting data transparency and AI explainability at the forefront of their conversations with cross-functional stakeholders throughout the enterprise. This discussion will dive deeper into some of the most pressing ethical considerations that enterprises must consider when deploying cutting-edge data and analytics tools. Particular focus will be paid to dilemmas involving AI and algorithm bias and how to overcome them. 

12:30 pm - 1:30 pm Networking Lunch

1:30 pm - 2:30 pm Practitioner Roundtable Discussions

Earlier in the Exchange, we collected your insights and challenges in the data and analytic space using the Thoughtexchange social learning tool. During this follow-up session, you’ll have dedicated time to sit with your peers and develop an action plan to improve data and analytics operations.

2:30 pm - 3:00 pm Do or Die: Data Governance & Metadata Management

The move toward using predictive analytics and machine learning necessitates that organizations place a greater emphasis on the collection and management of huge swaths of both structured and unstructured data. It’s more important than ever that CDAO’s spearhead a focus on establishing robust, well-defined data governance. A new approach to data governance is currently emerging focused on enabling end users and citizen data scientists alike to take an active role in crafting business insights. This approach will require CDAO’s to re-evaluate their existing data governance approach to capitalize on the shifting landscape. Other topics to be discussed include:
• Transforming traditional data center to SD-DC
• Sampling strategy to evaluating what data is most relevant to a particular process-data migration strategy: eliminating silos
• CDM: Chief Data Management/ Single-Point Entry
• Metadata Management
• Data management automation (DatOps)
• Data Cataloguing
• Persistent Memory Servers (PMS)


3:00 pm - 3:45 pm Creating Compelling Narratives through Data Visualization
In much the same way as a well-crafted text, data is the narrative that drives the story. Yet, for many organizations, this story is not easily understood outside the confines of the data and analytics team. This session will explore the rise and evolution of data visualization as a means to enable end-users to gain previously unrealized insights in real-time. Participate in this session to discover:
·         The role that visualization plays in enabling self-service analytics
·         How visualization can be leveraged  to improve data storytelling
·         Use cases that demonstrate how visualization can be used to generate insights that are less readily apparent through traditional data analysis tools. 


3:00 pm - 3:45 pm Powering the Data Economy: Persistent Memory Servers & Emerging Concepts in Storage Architecture
This session will explore the ways in which enterprises are transforming their existing storage architecture to fit the substantial influx of data powered through IoT, AI, and edge computing.
Join this session to explore:

  • The importance of developing solutions that maintain business continuity
  • How to reduce latency and move processes close to the edge to expand the breadth of data
  • NAND Flash Memory
  • Leveraging GPU’s in combination with traditional CPU architectures

3:45 pm - 4:25 pm Driving Organizational Alignment to Identify Innovative, Data-Driven Operating Models

This session will explore the role that an Analytics Center of Excellence plays in promoting enterprise-wide adoption of BI tools. Topic discussed include:
·         Overcoming challenges related  to sharing data across departments and agencies
·         Establishing a data governance framework that effectively addresses questions concerning data ownership
·         Assessing the pros and cons of adopting a federalized versus centralized model
·         Determining the ideal structure and long-term goals of a CoE

4:25 pm - 4:40 pm Networking Break

4:40 pm - 5:10 pm Business Meetings

5:10 pm - 5:40 pm Business Meetings

5:40 pm - 6:10 pm Business Meetings

Roundtable Discussions

Roundtable A

6:10 pm - 6:55 pm Building Bridges: Partnering with Incubators & Accelerators to Speed up Data & Analytics Innovation
The practice of data and analytics is in flux, and competition at an all time high, making standard processes a blockade to quickly achieving new insights. Accelerators and Incubators offer the speed needed to stay ahead and the flexibility to experiment. Join this interactive discussion to explore cases of success and opportunities for your business using accelerators and incubators.

Roundtable B

6:10 pm - 6:55 pm An Unlikely Pair: The Convergence Between Data and HR
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.  
Sponsored by Thoughtexchange

Roundtable C

6:10 pm - 6:55 pm One Step Ahead: Identifying Bleeding-Edge Use Cases for Artificial Intelligence
Explosive developments in Artificial Intelligence (AI) are having profound impact on how enterprises engage with customers and do business. Don’t miss this opportunity to learn what AI is going to mean for the business, and when will become mainstream. Attendees will review several very specific use cases and walk away with an understanding of how machine learning is having a powerful impact on companies’ work processes.

Roundtable D

6:10 pm - 6:55 pm Doing Data & Analytics Business in China
This roundtable will focus on understanding the customer base and processes in China. Attendees will leave knowing how to map the Chinese customer journey, increase operational synergies , improve communication and coordination with overseas offices, and discuss strategies to penetrate the elusive Chinese market.

6:55 pm - 7:25 pm Cocktail Reception

7:25 pm - 8:25 pm Networking Dinner