CDO New York Summit | July 19, 2022 | Well& at One World Trade Center - New York, NY, USA

agenda

Registration & Networking Breakfast

8:30 AM - 9:00 AM

Welcome Address

9:00 AM - 9:10 AM

Panel: Best Practice on Data Governance & Data Quality

9:10 AM - 9:35 AM
This session will focus on how to spring board a Data Governance program by leveraging a Data Quality project, building consumer trust in the underlying data. Attendees will learn about how she turned data quality challenges into an opportunity for ongoing monitoring of data health, process improvement to prevent bad data, standardize master data set up, creating an agile stewardship tea, creating an authoritative source and pivoting from a CDE approach to publishing data products to consumers. Finally they will learn how to leverage a Company’s strategic initiatives like an ERP implementation, Migration to Cloud or Omni channel Marketing to develop a business case for a sustainable Data Governance program.

Sara Willovit

Associate Director, Product Master Data Governance

BD

Kelsey Reinhardt

Head of Data Engineering

Forbes

Michael Sun

VP of Data Science

Rocket Mortgage

Sponsor Keynote: IBM

9:40 AM - 10:05 AM
Technology and transformation have always gone hand-in-hand, but the pace of transformational change accelerated over the last 2 years in every organization. IBM Americas CMO Chris Bontempo will get our creative juices flowing as he shares stories and best practices sourced from thousands of IBM digital transformation engagements with the “new creators” - the change agents and forward thinkers in every organization - including yours. He’ll cover a wide-range of areas, from cybersecurity to AI and data-driven transformations, how to use hyper-automation to make your business supersonic, and give you the tools to get creative to solve your organization’s biggest challenges. Welcome to the new IBM.

Fireside Chat - Data Science

10:10 AM - 10:30 AM

Michael Sun

VP of Data Science

Rocket Mortgage

Executive Boardroom: Tableau

10:35 AM - 10:55 AM
Everytime when a person uses technology to complete a business process, data is produced. Data, in effect, is at the intersection of People, Process and Technology. This data can be an asset when properly managed, governed, curated and analyzed. It is easier said than done and when properly handled can impact the bottom-line in a positive way. We will discuss various ways to leverage data in an enterprise context.

Think Tank: Creating an enterprise-wide data-driven culture

11:00 AM - 11:20 AM

Overcoming the challenge of legacy cultures, resistance to change and disjointed processes in order to unlock new ways of working with data and analytics. Getting the business to understand what the data team does and embedding the importance of (and collective responsibility for) data across the organisation is essential if companies are to truly embrace and optimise advanced analytics capabilities. A top-down approach is often an essential part of this, so obtaining board level buy-in to secure investment in data initiatives is a key facet of this challenge. Equally, the question of whether the data team should be centralised or decentralised (i.e. integrated within different lines of business) is also a key tenet of the cultural challenge.

Thought Leadership: Splunk

11:25 AM - 11:45 AM

Think Tank: ZERO to 100 (Million Dollars), Data Science for business success

11:50 AM - 12:10 PM

Do you want to understand how to get and keep the attention of your leadership team?  Do you have great ideas and roadmaps that have lost traction?  We all want to contribute a positive impact to our enterprise. But, how do you organize and prioritize your Data Science team and projects to not only achieve buy in, but to make massive business impact both in the near and mid term?  Join us as I share some lessons learned in leading three successful analytics roadmap implementations and three corporate turn-around strategies driven by Data Science and Analytics.

Chas Murphy

SVP of Data Science, Analytics and Research

SiriusXM

Executive Boardroom

12:15 PM - 12:35 PM

Innovation: Brandwatch

12:35 PM - 12:45 PM

Networking Lunch

12:45 PM - 1:15 PM

Thought Leadership: Vertica

1:20 PM - 1:40 PM
Applying old organizational models and methodologies to modern cloud technology won’t allow companies to achieve the kind of results and agility they expect. Companies need an operating model, organizational model, and data literacy approach that enables data-driven decision making throughout an organization. In this session, we will explore: •The people, process and technology considerations in building a modern data strategy •Methods for driving agility across the business •Getting your teams into a data-first mindset

Think Tank: Unilever - Data Democratization

1:45 PM - 2:05 PM

Arun Nadi

Sr. Director & Head of Data & Analytics

Uniliver

Executive Boardroom: Alteryx

2:10 PM - 2:30 PM
Prevent Outages Across Your Organization: A guide to how predictive analytics can influence postitive business outcomes As the pressure to be 'on' increases, so does data complexity - yet many organizations still rely on traditonal legacy IT solutions. During this session, we will explore how predictive analytics supports a pro-active approach to meeting the demands of customers, employees, and the business.  Is it possible to predict and prevent issues before interruptions or outages occur? - 5 steps to forecast with confidence: - learn how predictive analytics and machine learning can help your organization cut costs, streamline operations, and raise productivity - Learn how you can you successfully imbed tech in your current application

Think Tank: Establishing a modern data governance framework

2:35 PM - 2:55 PM

Data governance practices and disciplines have been inherent in a number of organisations for many years, but the evolving regulatory landscape (particularly with the onset of GDPR) has compelled organisations to scrutinise and optimise how they store, manage and process data and create a roadmap of activity. Organisations are seeking an overarching approach to data governance to manage the people, processes and technologies involved in data initiatives in a more modern way.

Think Tank: Sid Raisoni

3:00 PM - 3:20 PM

Sid Raisoni

VP of Analytics

World Wrestling Entertainment

Fireside Chat: Recruiting and Retaining Data Scientists

3:25 PM - 3:45 PM
Data scientists have some of the highest turnover rates in technology. Why? And what can we do about it? We'll touch on organizational and team structure, sources of intrinsic motivation, and the most common mistakes companies make from a data scientist's point of view.

Edward Bezerra

Vice President Of Infrastructure (I&O, Enterprise Architecture, & Cyber Security)

K. Hovnanian®️ Homes

Closing Remarks

3:45 PM - 3:55 PM

Impetus Custom Think Tank and Reception

4:15 PM - 6:00 PM

Impetus Roadshow Reception

6:00 PM - 7:00 PM