Main Conference Day 1


11.00am- 11.30am

Keynote Presentation: A Successful data science journey – Transitioning from business intelligence to advanced scientific models

How to empower analytics teams to create impactful & reproducible work The common pitfalls most teams get trapped by today When to use simple measurement vs. machine learning Common abstractions & frameworks that empower analysts and data scientists, as well as current gaps


11.30am- 12.00pm

Keynote Presentation: Trends and developments in the world of Data and Analytics

Why companies are in the need for more data and analytics as they become more data centric. Key findings from PwC’s Big Decisions survey. Why we should pay attention to these trends, what can we learn from them?

Gerard Verweij
Global D&A leader - PwC

12.00pm- 12.30pm

Keynote Presentation: Do or die – Putting analytics at the heart of everything you do

Explore how advanced analytics have enabled Enova to better understand their customers and their behaviours, to drive revenue and improve services. Learn the ways in which analytics have enabled Enova to continuously launch new features and products around the world. Discover how the customer experience can be improved through real-time data and analysis. Hear case… Read more.

Eric Huls
Chief Data Officer and Chief Data Science Officer - Allstate

12.30pm- 1.00pm

Panel Discussion: The road to becoming a Chief Analytics Officer – Driving business engagement and success

What is the typical road to becoming a Chief Analytics Officer, is there one? Where is the optimal place for a Chief Analytics Officer to sit within the business, what should their remit be and what core skills do they need to be successful? What key strategies do you need to employ to drive engagement… Read more.

Gahl Berkooz
Chief Data & Analytics Officer - Acorns
Morgan Vawter
Chief Analytics Director - Caterpillar Inc.
Prahalad Thota
Senior Vice President, Head of Enterprise Analytics - Wells Fargo

Discussion Group Session 1

2.00pm- 2.45pm

Discussion Group 1A: Delivering on the analytics promise – Shaping your team for success

Examining which company dynamics impact the way in which you structure your team and why they matter? Team structure discussed – centralised, de-centralised or federated? Is there a one size fits all approach? Establishing remit and avoiding territorial conflict – Examining the overlap with internal functions and other C-Level positions, where is the ideal location… Read more.

David Wan
Director of Business Intelligence - Just Eat
Eric Huls
Chief Data Officer and Chief Data Science Officer - Allstate
Bill Hoffman
Chief Analytics Officer & Head of CRM - U.S. Bank

2.00pm- 2.45pm

Discussion Group 1B: The data and analytics talent of the present and future – challenges and opportunities

What skill sets are needed within the modern analytics team? Discussing the importance of critical and creative thinking as well business knowledge. What skills will be of the highest importance for future analytics teams, and how should the industry prepare for this? You don’t need a data scientist any more you need a data archeologist!… Read more.

Jeff Bodzewski
Chief Analytics Officer - M Booth
John F. Carter
SVP, Analytics & Business Insight - Charles Schwab
Beverly Wright
Executive Director, Business Analytics Center - Georgia Institute Technology

2.00pm- 2.45pm

Discussion Group 1C: Creating an architecture for analytics

Discussing the ecosystem of data warehouses/lakes/the cloud, what is needed to build an effective analytics environment. Examining the benefits and pitfalls of each approach. Discussing what is needed in this new world of analytics, with ever growing data sets, fringe data, upgraded tools and processes and security threats, how do you build the right architecture… Read more.

Simon Gao
CVP, Head of Data Science - New York Life
Kirtida Parikh
Director & Head, Enterprise Business Analytics - Silicon Valley Bank

2.00pm- 2.45pm

Discussion Group 1D: Prescriptive analytics as the future of analytics within your business

Is predictive analytics just a glamourized version of reporting? The value comes from insights if they have implementable outcomes – predictive vs. prescriptive analytics. Prescriptive analytics for predicting behavior patterns and changing outcomes. Discussing the cultural shift needed for full acceptance of prescriptive insights.

Allen Crane
Assistant Vice President - USAA

Discussion Group Session 2

2.45pm- 3.30pm

Discussion Group 2A: Operationalizing analytics – Essential elements for a successful analytical environment

Examining organizational and technical infrastructure and what this means for integrating analytics within your business and analytical delivery. Breaking down data and departmental siloes to effectively manage risks and capitalize on opportunities. Balancing complexity with operationalization – simple and elegant can be your friend Examining the importance of creating tools, systems and models that have… Read more.

Alfred Essa
Vice President, Analytics & R&D - McGraw Hill Education
Morgan Vawter
Chief Analytics Director - Caterpillar Inc.

2.45pm- 3.30pm

Discussion Group 2B: Recruiting and retaining top data and analytics talent – the big challenge

Strategies for attracting talent and keeping it – Discussing the challenges of talent attraction, recruitment and retention. What are the drivers for new graduates? Discussing the impact of millennials on your business – What they look for and how to attract and keep them. Which elements cause analytics and data science talent to leave? Examining… Read more.

Padma Hari
VP Business Intelligence, Analytics and Data Strategy - Bloomingdales
Eric Huls
Chief Data Officer and Chief Data Science Officer - Allstate
Neal Silbert
Former Predictive Analytics Vice President - Zurich North America

2.45pm- 3.30pm

Discussion Group 2C: To Cloud or not to Cloud? – When to do it, how, why and how to Secure it

What are the benefits of hosting your data and analytics efforts in the cloud and when should you seek to utilize this technology? The practical side of cloud implementation – How do you effectively manage the implementation of cloud services within your business? Exploring the best way to dip your toes and build a scalable… Read more.

Guru Rao
Chief Analytics & Data Officer - FBAlliance Insurance Company
Peter Hogan
VP, Enterprise Data Analytics and Applications - Post Holdings

2.45pm- 3.00pm

Discussion Group 2D: A roadmap to demonstrating true ROI to your business – are you on the right track?

Discussing the ways in which value can be demonstrated to your business. In what ways can you quantify success and prove ROI? What metrics and approaches can you use? How do you quantify efficiency savings vs. cost savings and revenue? Your analytics team as a profit center discussed.

Ravi Parmeswar
VP, Head of Global Strategic Insights & Analytics - Johnson & Johnson

4.00pm- 4.30pm

Keynote Presentation: Artificial Intelligence and Machine Learning – Automating Analytics in the Connected World

Examining the new era of analytics – greater automation of predictive analytics, machine learning, artificial intelligence and increased connectivity as the drivers of innovation. What opportunities does the Internet of Things provide, as it morphs into the Intelligence of Things? Exploring the role of data and ambient analytics in the age of heightened connectivity, cognification… Read more.

Oliver Schabenberger, PhD
Executive Vice President and Chief Technology Officer - SAS

4.30pm- 5.00pm

Keynote Presentation: Data vs. Modelling – Does data always win?

Assessing the modelling and analytical environment In a world where everyone is using analytics how do you really compete? Discussing strategies for maintaining your competitive edge. What new tools and capabilities are available and how is it impacting ‘the bones’ of modelling – data, tools platform, monitoring. Discussing data vs. modeling and how they have… Read more.

Scott Hallworth
Chief Data Officer & Chief Model Risk Officer - Capital One

5.00pm- 5.30pm

Keynote Presentation: Optimize outcomes with actionable advanced analytics

Explore approaches for applying proactive, predictive intelligence to enhance reporting. Examining the ways in which time intelligence, statistics, forecasting, clustering, R integration, and even creative use of parameters and variables can be used to identify patterns and relationships in data that weren’t initially evident. Case study examples discussed.


5.30pm- 6.00pm

Panel Discussion: Driving business value from within the analytics team

How can the way in which your department is structured impact the value you can add as well as your pace of change and implementation? In what ways can you optimize business and operational processes to drive enterprise wide innovation? It’s not only about insight – Discussing the journey from insights to decisions at scale… Read more.

Yannis Kotziagkiaouridis
Global Chief Analytics Officer - Wunderman
Brandon Bunker
Sr. Director of Customer Analytics and Artificial Intelligence - Vivint Smart Home