Data & Analytics Virtual Summit Series: June – August 2020

Virtual 3D Event
August 12, 2020

2 days left

Welcome to Opal Group’s Data & Analytics Virtual Summit Series: June

Turning Your Data into Insights - Making Your Data Work for You

The Data & Analytics Virtual Summit Series will feature three 1-Day Virtual 3D Events taking place: June 17, July 21 and August 12

The Data & Analytics Virtual Summit series is a gathering of Data & Analytics executives representing enterprise organizations, global brands, government agencies and more. Executives will connect, benchmark, network and focus on key initiatives. During these uncertain times, it’s important to create and maintain relationships with like-minded D&A professionals, and our new Virtual Summit Series fosters these relationships - all from the safety and comfort of our homes or offices.

Our Summit provides a specialized, strategically-built experience that features unparalleled keynote speaking sessions with thought-leading case studies, highly-interactive panel discussions, and a virtual 3D experience that includes customized networking opportunities and real-time attendee insights.

We believe in creating a memorable, collaborative and effective experience focused on continuous improvement for Chief Data & Analytics Officers, Chief Data Officers, Chief Analytics Officers, and other top executives in data, analytics, artificial intelligence, business intelligence, IT and data governance.

Join us! Interested in attending, speaking or sponsoring? Contact Bobby Swartout at (212) 532-9898 ext. 248 or email info@opalgroup.net.



Current as of August 9, 2020

Speakers on June 17

Dr. Satyam Priyadarshy, Chief Data Scientist, Halliburton USA

David Mathison, Chairman, CEO & Founder, CDO Club

Dr. Vijay Gandapodi, Head of IT - Data, Reporting, Analytics, Reynolds American, Executive in Residence, Georgia State University

Srinivasan Sankar, Enterprise Data Leader, The Hanover Insurance Group

Sean Butler, Director of Product Marketing, Privitar

Kathleen Maley, Former Head of Consumer and Digital Analytics, KeyBank

Andrew Sohn, Head of Data, Bottomline Technologies

Garland Bond, Former Chief Data & Analytics Officer, AARP

Turning Your Data into Insights – Making Your Data Work for You

June Session Complete – Please join us in July and August!

11:30am EST

Virtual Welcome – Create Avatar and Review Summit Navigation Tools

11:55am

Chairperson’s Opening Remarks:

 

Turning Your Data into Insights – Making Your Data Work for You

Chairperson

David Mathison, Chairman, CEO & Founder, CDO Club

12:00pm

Opening Keynote Presentation

 

Data Driven Innovation Generates Significant Economic Impact When the Focus is on “Time to Value from the Data”

 

Many industries use 1% to 5% of the data they generate, as per studies published recently. What is the significance of the amount of data used? Is it because business does not need it, or the vision for data-driven innovation isn’t really clear? Are there other factors?

 

Join this informative session to hear Dr. Priyadarshy explain how “time to value from the data” is more important than just the “amount of data used” for transforming a resilient business – which in turn will maximize the use of data assets and generate significant economic impact. He will also cover value creation from unstructured data, and the roadmap for reducing the time to generate value from such a data set – thus reducing dark data to smart data.

 

Presented by

Dr. Satyam Priyadarshy, Chief Data Scientist, Halliburton USA

12:30pm

Keynote Presentation

 

Maximizing Analytics Initiatives with Sensitive Data

 

Leading organizations are looking to optimize how they leverage one of their most valuable assets, their data. A key component of maximizing the value of any organization’s data is ensuring that they can provide access and allow requests for the use of sensitive and personal data. As enterprises leverage data to power initiatives like analytics, improving customer experience, new product development, and the move to the cloud it is critical they contemplate how to protect sensitive data.

 

Join this engaging session as we discuss how to implement a sensitive data management strategy to:

 

  • Accelerate time to sensitive data access while maintaining privacy
  • Increase the scope of data that can be used as well as who it can be used by
  • Optimize the value of analytical tools maintaining organizational and regulatory compliance

 

Sean Butler, Director of Product Marketing, Privitar

1:05pm

Solution Provider Research Meetings | Networking Break

2:00pm

Keynote Presentation

 

Utilizing Data and Analytics to Improve Decision-Making and Forecasting

 

Every organization now realizes that they have the ability to use data and analytics to raise productivity, improve decision making, and gain competitive advantage.The reality however, is that actually mapping out an analytics plan is very complicated.As such, it’s critical to develop a plan that effectively brings together data, analytics, frontline tools, and people to create business value.

 

We’ll discuss steps that are necessary to develop a data and analytics plan that drives competitive advantage, such as:

 

  • Developing a detailed road map for investing in assets such as technology, tools, and data sets
  • Creating a culture in which everyone buys into the idea of using data to make business decisions
  • Reinventing current data and analytics processes to adapt to the needed changes in strategy

 

Presented by

Dr. Vijay Gandapodi, Head of IT - Data, Reporting, Analytics, Reynolds American, Executive in Residence, Georgia State University

2:40pm

Solution Provider Research Meetings | Networking Break

3:15pm

Panel Discussion

 

Data Monetization – Preparing an Approach that is Consistent with Overall Business Strategy

 

In today’s world every company relies on data, but not every organization truly understands how to monetize their data. The amount of generated data will be growing exponentially in the future, so it’s critical to develop an effective data insights strategy that allows your organization to identify what data is truly essential. In addition, it’s important to embed data monetization into the overall business strategy, and build cross-functional teams in order to successfully execute on data monetization initiatives.

 

Join us in this thought-provoking panel discussion as we discuss the elements that are needed to implement a successful data monetization strategy, such as:

 

  • Making sure that all of your data collection is properly aligned with your business goals
  • Recognizing data as an evolving asset within the organization, and not as a static asset that depreciates in value
  • Creating and fostering a corporate environment where real decisions are driven by the data
  • Utilizing data that you already have in order to discover new ways to engage customers, identify new products to develop, and plan for new markets to serve
  • Knowing what internal and external data sources you require to drive a data monetization strategy
  • Viewing data as an asset with real market value, and utilizing data monetization as a real growth strategy
Moderator

Srinivasan Sankar, Enterprise Data Leader, Hanover Insurance

Panelists

Garland Bond, Former Chief Data & Analytics Officer, AARP

Kathleen Maley, Former Head of Consumer and Digital Analytics, KeyBank

Andrew Sohn, Head of Data, Bottomline Technologies

Speakers on July 21

John Thompson, Global Head, Advanced Analytics & Artificial Intelligence, CSL Behring

Maria Macuare, VP Data and Analytics, Campbell Soup Company

Eugene Wen, Vice President for Group Advanced Analytics, Manulife Financial

Madhav Madaboosi, Principle Data Scientist, Head of Data/Analytics, Alternative Energy, Shipping & Group Functions, BP N.A. Corp

David Mathison, Chairman, CEO & Founder, CDO Club

Kathleen Maley, Former Head of Consumer and Digital Analytics, KeyBank

Srinivasan Sankar, Enterprise Data Leader, Hanover Insurance

Shawn Roberts, RVP Solution Strategy, erwin

Dr. Adam Richards, Head of Data Science, Galvanize

Taryn Heilman, Principal Data Scientist, Lead Enterprise Instructor, Galvanize

Brian Keare, Chief Information Officer, Incorta

Cindi Howson, Chief Data Strategy Officer, Thoughtspot

Pat Bates, Principal Sales Engineer, Privitar

Data and Analytics in the New Era – Managing Your Data Organization of the Future

10:30am EST

Create Avatar and Review Summit Navigation Tools

10:50am

Virtual Welcome

10:55am

Chairperson’s Opening Remarks:

 

Data and Analytics in the New Era – Managing Your Data Organization of the Future

Chairperson

David Mathison, Chairman, CEO & Founder, CDO Club

11:00am

Opening Keynote Presentation

 

How to Hire and Manage a High-Performance Analytics Team

 

Despite the pandemic crisis that the world will be dealing for an extended period of time, most organizations still need to design, hire and manage their analytical teams.  All organizations want their analytics teams and function to not only exist but to perform in a highly effective manner.  Analytics teams are not like development teams or typical project teams.  We will discuss what makes them different and how to hire and manage for high performance and operational impact.

 

In this session we’ll be discussing best practices relating to investing in, hiring and managing your analytics team, including the following topics:

 

  • We will discuss how to build an analytics teams using the Artisanal or Modular model.
  • Analytics team evolve and grow into Hybrid organizations. We will discuss how to manage this evolution.
  • High performance analytics teams are unique. We will discuss how to best manage them.
  • We will define how to build robust analytics processes that drive results in the real world
  • We will examine how best to move from robust analytical processes to integrating analytical models and processes into operational production processes

 

Presented by

John Thompson, Global Head, Advanced Analytics & Artificial Intelligence, CSL Behring

11:40am

Keynote Presentation

 

Privacy by Design: A Key Enabler, Not an Afterthought

 

Data privacy and security are fundamental safeguards that enable enterprises to better leverage and optimize the value derived from their growing data assets. But too often the protection of data is viewed and implemented as an isolated technology step in the data pipeline.

This session will explore how the enterprises that most successfully turn data sets into profit-driving assets view data privacy as intrinsic to the data lifecycle and take a policy-driven approach that encompasses the entire data management organization.

 

 

Presented by

Pat Bates, Principal Sales Engineer, Privitar

12:15pm

Panel Discussion

 

Updating Acquisition and Retention Strategies to Effectively Compete for Data and Analytics Talent

 

The ‘war for talent’ in data and analytics has intensified recently, particularly when considering all of the uncertainty and competition for talent that has arisen as a result of the COVID-19 pandemic. Moreover, in recent years the quest for talent has evolved to encompass new frontiers and unfamiliar territories that are fueled by digital transformation, new capabilities and a shortage of talent – and employers need a new “battle plan” to prevail. There are very few areas of the job market that have experienced the growth and disproportionate supply and demand of talent that the data and analytics field has seen. As big data continues to get bigger and the analytics field continues to mature, it’s becoming a core part of business and the decision-making process. As such, it’s critical to update strategies to attract and retain top talent.

 

In this engaging session we will discuss steps that are needed for improving talent acquisition and development, such as:

 

  • Determining the skillsets that are needed to properly match the candidates in the data and analytics talent pool
  • Creating career paths that lead to high-profile positions within the organization
  • Illustrating the business impact that data and analytics can create
  • Showing data and analytics talent that the organization, particularly senior management, is excited about the impact data and analytics has on the business
  • Fostering a culture of self-development within the data and analytics teams
Moderator

David Mathison, Chairman, CEO & Founder, CDO Club

Panelists

Madhav Madaboosi, Principle Data Scientist, Head of Data/Analytics, Alternative Energy, Shipping & Group Functions, BP N.A. Corp

Srinivasan Sankar, Enterprise Data Leader, Hanover Insurance

Alex Pham, Head of Engineering, Data and Platforms, Toyota North America

Meena Thanikachalam, Senior Director, Data Strategy & Data Architecture, Ally

1:00pm

Networking Break | Solution Provider Research Meetings

1:35pm

Keynote Presentation

 

Maximizing the Value of Artificial Intelligence Technologies to Stay Ahead of the Competition

 

Implementing AI involves many departments, resources and people, and it’s critical to implement an effective plan to avoid the pitfalls of complete AI implementation and transformation. An effective AI strategy is directly tied to the mission and values of the enterprise, and it’s important to have practical strategies in place in order to embrace AI technologies amid ever-changing market expectations. Many organizations are facing significant challenges when trying to address what it takes to leverage the potential of AI effectively, responsibly and reliably in order to drive profit and connect with their customers.

 

In this engaging panel we will discuss how to help your organization maximize revenue, reduce costs and mitigate risks when fully leveraging AI, such as:

 

  • Driving efficiencies in product development with AI
  • Harnessing AI and automation to develop a competitive advantage
  • Understanding and mitigating the risks involved when increasing reliance on AI
  • Utilizing AI to improve the customer experience and drive profit
  • Leveraging AI to create meaningful insights and improve organizational outcomes
Presented by

Dr. Vijay Gandapodi, Head of IT - Data, Reporting, Analytics, Reynolds American, Executive in Residence, Georgia State University

2:05pm

Keynote Presentation

 

CDAOs in the Hot Seat: Winners and Losers in a Pandemic World

 

Business leaders in every industry are taking a step forward to implement tools that will help them pivot, save and streamline during this pandemic. Data and analytics have increasingly become a competitive weapon for leading organizations, and it is crucial that everyone in business step away from heavy architecture and inflexible ways of analyzing that data, especially during these times.

 

The pandemic has revealed the advantage of making quick, consequential decisions for our businesses using as much data as is possible. It also has revealed that some organizations will meet the moment of this challenge, while others will not.

 

Incorta’s CIO Brian Keare will provide perspective on how to win and will advise those of you who may be struggling how to transition quickly. Brian managed business systems and data analytics at Nortek and now works with many Fortune 1000 CDAO’s (Chief Data and Analytics Officer) that are analyzing data on the Incorta platform. Join this session to hear his unique view on how you can become a winner!

 

Presented by

Brian Keare, Chief Information Officer, Incorta

2:40pm

Leveraging Data to Give Your Company a Competitive Edge

Presented by

Shawn Roberts, RVP Solution Strategy, erwin

3:25pm

Networking Break | Solution Provider Research Meetings

4:00pm

Keynote Presentation

 

Developing a Candidate-Facing Recruitment Program to Improve Talent Acquisition for Data and Analytics Positions

 

It’s no secret that women are making a huge impact in data and analytics, and have clearly become leaders in advancing data strategies and analytical research. However, due to fierce competition and shifts in the data and analytics talent pools for female candidates, it’s become a huge challenge for companies to maintain and maximize their ability to attract, retain and identify top female performers and sustain a competitive advantage.L&D leaders are being forced to rethink and reinvent best practices to engage, develop and integrate female talent into their data and analytics organizations, but many are falling far short in these endeavors.

 

Join our panelists as we discuss strategies for attracting, developing and retaining female data and analytics candidates – and leaders, such as:

 

  • Tailoring your short-term and long-term strategic visibility goals to educational institutions such as universities and high schools, in order to get on candidate radars early on while they are deciding on career development
  • Offering virtual and in-person recruitment and skills assessment programs to identify high-performing talent and optimal candidates for your data and analytics programs
  • Using a multiple method, blended learning system to accommodate candidates with different backgrounds and learning styles
  • Providing executive leadership with diversity and inclusion training to ensure that female candidates and leadership in the data and analytics organization will have a positive business and social impact
Presented by

Eugene Wen, Vice President for Group Advanced Analytics, Manulife Financial

4:30pm

Keynote Presentation

 

Advocating and Developing Data Literacy to Support a Data Driven Workforce

 

Organizations have to understand that data must be spoken as a common language with its customers when looking at the pervasiveness of data and analytics capabilities. As data and analytics becomes an integral part of the business and an organizational asset, the entire workforce must have at least a rudimentary ability to convey and comprehend conversations about data. As such, the importance of data literacy will become a critical element of most daily tasks. Data and analytics leadership will need to play a key role in creating the narrative for company-wide data literacy, and must also be able to highlight the value that will be gained by the entire organization.

 

In this informative session we will discuss the steps necessary to develop a successful data literacy program, such as:

 

  • Recognizing the current talent in the organization that has an advanced understanding of data, and can serve as arbiters for all of the business groups in the company
  • Ascertaining the most readily apparent problem areas where a lack of data understanding is a critical barrier to data being utilized to its full organization and business potential
  • Cultivating upper-level leadership and front-line managers that will be utilized in developing and administering data-driven solutions and services
  • Developing workshops and training breakouts to review all of the information that has been gathered, and sharing the takeaways with other divisions and departments to bring attention to glaring gaps in data literacy
Presented by

Dr. Adam Richards, Head of Data Science, Galvanize

5:00pm

Panel Discussion

 

Women in Data & Analytics – Improving Talent and Leadership in Your Data Organization

 

It’s no secret that women are making a huge impact in data and analytics, and have clearly become leaders in advancing data strategies and analytical research. However, due to fierce competition and shifts in the data and analytics talent pools for female candidates, it’s become a huge challenge for companies to maintain and maximize their ability to attract, retain and identify top female performers and sustain a competitive advantage. L&D leaders are being forced to rethink and reinvent best practices to engage, develop and integrate female talent into their data and analytics organizations, but many are falling far short in these endeavors.

 

Join our panelists as we discuss strategies for attracting, developing and retaining female data and analytics candidates – and leaders, such as:

 

  • Tailoring your short-term and long-term strategic visibility goals to educational institutions such as universities and high schools, in order to get on candidate radars early on while they are deciding on career development
  • Offering virtual and in-person recruitment and skills assessment programs to identify high-performing talent and optimal candidates for your data and analytics programs
  • Using a multiple method, blended learning system to accommodate candidates with different backgrounds and learning styles
  • Providing executive leadership with diversity and inclusion training to ensure that female candidates and leadership in the data and analytics organization will have a positive business and social impact
Moderator

Cindi Howson, Chief Data Strategy Officer, Thoughtspot

Panelists

Maria Macuare, VP Data and Analytics, Campbell Soup Company

Kathleen Maley, Former Head of Consumer and Digital Analytics, KeyBank

Amitha Krishnappa, Director- Operational & Product Analytics, Walmart eCommerce

Taryn Heilman, Principal Data Scientist, Lead Enterprise Instructor, Galvanize

6:00pm

End of July 21 Session of Data & Analytics Virtual Summit Series

Speakers on August 12

Sam Benedict, VP Solution Strategy, erwin

Kamayini Kaul, Exec. Director Enterprise Information Strategy and Risk Management & Global Data Protection Officer, Bristol-Myers Squibb

Phanii Pydimarri, Head of Global Data Analytics, Bose Corporation

Eileen Vidrine, Chief Data Officer, United States Air Force

Ylan Kazi, Vice President, Data Science + Machine Learning, UnitedHealth Group

Meena Thanikachalam, Senior Director, Data Strategy & Data Architecture, Ally

Dustin White, Global Head of Risk Analytics & MIS, Visa

Matthew Halliday, Co-founder & SVP of Product Strategy, Incorta

Abhishek Mittal, VP, Head-Data Analytics, Opex and Legal Ops COE, Wolters Kluwer

Krish Das, Head of Enterprise Data, Inspire Brands

Ed Savage, Principal Sales Engineer, Privitar

Victor Ghadban, Chief Field Data Scientist, Explorium

Creating a Data-Driven Culture – Developing New Mindsets and Methodologies

11:00am EST

Virtual Welcome – Create Avatar and Review Summit Navigation Tools

11:20am

Chairperson’s Opening Remarks:

 

Creating a Data-Driven Culture – Developing New Mindsets and Methodologies

11:30am

Opening Keynote Presentation

 

Creating a Data-Driven Culture

 

The Air Force Chief Data Office (SAF/CO) was established in September 2017 to drive data strategy and lead data culture in the Air Force. As the catalyst that makes Air Force data visible, accessible, understandable, linked, and trusted (VAULT), SAF/CO guides the strategic and tactical actions necessary to move the Air Force towards becoming a data-driven organization. SAF/CO is a disruptive force in an already mature organization. By increasing data-use and literacy to improve the efficiency and effectiveness of decisions, readiness, mission operations, and cybersecurity, we are changing the Air Force’s culture to be a more collaborative organization. The Air Force is facing an ever-more disruptive battlefield (i.e., information warfare, malicious cyber activity, and political information subversion). Combating these threats requires rapid advancements in our data. To ensure we have the big data necessary to support AI autonomy, we need to take existing data stovepipes and change the culture toward visible and accessible data while still allowing for security and appropriate access.

Air Force Data is a strategic asset managed by data professionals, program managers, and executives. Agencies must understand and educate employees on the value of data and the importance of data quality. A data-driven organization requires disparate data to be visible, accessible, understandable, linked, and trusted (VAULT). As such, SAF/CO is building a system in which users can securely store, access, share, and work with VAULT data to support the Air Force’s mission and operations. The VAULT Data Platform, as it is known, enables analytics partnerships between AF users and allows functional communities to use the state-of-the-art analytical tools they need to solve the AF’s toughest data-related challenges.

SAF/CO is building a data-driven culture one use case at a time. Our use case driven approach leverages data and applied analytics to solve problems and drive mission innovation across the AF. This presentation highlights three core efforts of the Air Force Chief Data Office:

 

  • Operationalizing data for the Air Force we need, today and tomorrow
  • Addressing the current state of data by strengthening partnerships within the Department of Defense, industry, academia, and the Federal Government
  • Developing standards and guidance to promote data sharing, interoperability, and integration
Presented by

Eileen Vidrine, Chief Data Officer, United States Air Force

12:05pm

Keynote Presentation

 

Maximizing Analytics Initiatives with Sensitive Data

 

Leading organizations are looking to optimize how they leverage one of their most valuable assets, their data. A key component of maximizing the value of any organization’s data is ensuring that they can provide access and allow requests for the use of sensitive and personal data. As enterprises leverage data to power initiatives like analytics, improving customer experience, new product development, and the move to the cloud it is critical they contemplate how to protect sensitive data.

 

Join this engaging session as we discuss how to implement a sensitive data management strategy to:

 

  • Accelerate time to sensitive data access while maintaining privacy
  • Increase the scope of data that can be used as well as who it can be used by
  • Optimize the value of analytical tools maintaining organizational and regulatory compliance

 

Presented by

Ed Savage, Principal Sales Engineer, Privitar

12:35pm

Networking Break | Solution Provider Research Meetings

1:05pm

Interactive Roundtable Discussions

Presented by

Victor Ghadban, Chief Field Data Scientist, Explorium

Presented by

Sam Benedict, VP Solution Strategy, erwin

1:55pm

Keynote Presentation

 

Injecting Data into Decision-Making Processes to Develop a Data-Driven Mindset

 

Injecting data into decision-making processes would seem to be a relatively simple undertaking for most organizations today, but it’s much more difficult when trying to make this standard and automatic for employees. When constructing a company philosophy that’s data-driven, the focus must be on building tools, abilities, and, most crucially, a culture that acts on data. In addition, a data-driven organization must have a continuous improvement mindset, with an ongoing strategy to optimize core processes.

 

In this session we will review some steps that are necessary for organizations to develop a truly data-driven mindset, such as:

 

  • Optimizing the data management processes to help the company identify and collect the data that is needed, in order to avoid irrelevant information
  • Creating platforms that are user-friendly so employees can easily understand the value of data and how it can affect the performance of the overall business
  • Building an integrated ecosystem of advanced analytics and visualizations solutions to ease and control the flow of information
  • Identifying and building a cultural framework that enables all the people involved in a data initiative to collaborate on making data the heart of organizational decision-making
  • Putting incentives in place to encourage employees to use the technology and tools, and creating a way to measure and grade progress toward a self-service data culture
Presented by

Kamayini Kaul, Exec. Director Enterprise Information Strategy and Risk Management & Global Data Protection Officer, Bristol-Myers Squibb

2:30pm

Keynote Presentation

 

Advocating and Developing Data Literacy to Support a Data Driven Workforce

 

Organizations have to understand that data must be spoken as a common language with its customers when looking at the pervasiveness of data and analytics capabilities. As data and analytics becomes an integral part of the business and an organizational asset, the entire workforce must have at least a rudimentary ability to convey and comprehend conversations about data. As such, the importance of data literacy will become a critical element of most daily tasks. Data and analytics leadership will need to play a key role in creating the narrative for company-wide data literacy, and must also be able to highlight the value that will be gained by the entire organization.

 

In this informative session we will discuss the steps necessary to develop a successful data literacy program, such as:

 

  • Recognizing the current talent in the organization that has an advanced understanding of data, and can serve as arbiters for all of the business groups in the company
  • Ascertaining the most readily apparent problem areas where a lack of data understanding is a critical barrier to data being utilized to its full organization and business potential
  • Cultivating upper-level leadership and front-line managers that will be utilized in developing and administering data-driven solutions and services
  • Developing workshops and training breakouts to review all of the information that has been gathered, and sharing the takeaways with other divisions and departments to bring attention to glaring gaps in data literacy
Presented by

Dr. Adam Richards, Head of Data Science, Galvanize

3:00pm

Keynote Presentation

 

Developing Your Data-Driven Culture by Aligning it with Core Business Objectives and Strategies

 

If an organization doesn’t align its culture with business goals, how can they expect their people to help the company achieve them?Savvy data and analytics leaders and senior-level executives implement specific strategies that cultivate a distinct culture that is fully aligned with brand identity. They know that when they create an interdependent and mutually reinforcing relationship between how their organization thinks and acts on the inside and how it is perceived and experienced on the outside, they increase the competitiveness of their business, create measurable value for their employees and customers, and future-proof their business by developing an authentic brand and healthy organization.

 

Join us to discover how to cultivate a great data-driven culture that aligns with business objectives by:

 

  • Creating culture-changing employee experiences with data and analytics initiatives
  • Ensuring that even the most mundane aspects of your organizational data advances and supports the desired culture
  • Using employee brand engagement tactics to regain focus and momentum when necessary to reinforce the importance of data and analytics
  • Leveraging your internal culture with concrete data to shape your external brand identity
Presented by

Phanii Pydimarri, Head of Global Data Analytics, Bose Corporation

3:30pm

Networking Break | Solution Provider Research Meetings

4:05pm

Keynote Presentation

 

Analytical Expectations in a Rapidly Changing World

 

We now live in a world that believes “anything is possible” and technology often feels like magic by giving us everything we desire and need at the snap of our fingers, sometimes before you even know you desire it. This convenience and “magic” feeling is an effect of data.

 

Incorta’s co-founder Matthew Halliday will provide insight into how people are trusting and using data today and in the future. Ultimately, if your data projects don’t end up in a quantifiable behavior change, then you are creating digital pieces of artwork that fail to inspire people. Millennials are now the largest workforce in the United States and therefore, contribute greatly to the culture and attitude we expect to experience around data. Learn how you can ensure the analytical projects you are delivering are living up to expectations in this rapidly changing world.

 

Join this session to hear how to get the data and analytics when you need it, at the snap of a finger like we are used to!

Presented by

Matthew Halliday, Co-founder & SVP of Product Strategy, Incorta

4:40pm

Panel Discussion

 

Designing a Uniform Data and Analytics Framework that Becomes a Key Element of Corporate Culture

 

Ensuring that data and analytics are seen as key areas of focus in an organization requires an overarching data culture that couples a number of elements. These elements include high-quality data, broad access and data literacy, and appropriate data-driven decision-making processes. There are many organizations that are dealing with ongoing challenges while attempting to completely adopt big data and analytics processes. Despite the difficulties in adoption, it’s well worth the effort to implement a variety of new technology solutions, as these solutions most always have a tremendous positive impact on the application of data and analytics. It’s usually not an issue for organizations to comprehend the benefits of technology, but many do find that the biggest challenge to full adoption and utilization is the inability to develop the proper culture.

 

In this interactive panel discussion, we’ll cover the matters that need to be addressed in order to execute and sustain a cultural change, such as:

 

  • Acting quickly and decisively to determine the data-driven ambitions of the organization, and actively communicating roles and expectations
  • Anticipating and recognizing the important business questions that will drive organizational value and monetary impact
  • Shifting the focus from supplying data to the business – to driving business value from the data and analytics programs
  • Examining the critical human and organizational issues that must be addressed to ensure successful adoption
  • Leveraging big data and analytics in order to drive organizational innovation
  • Making the required cultural transformation in response to the opportunities and the challenges presented by big data
Panelists

Ylan Kazi, Vice President, Data Science + Machine Learning, UnitedHealth Group

Abhishek Mittal, VP, Head-Data Analytics, Opex and Legal Ops COE, Wolters Kluwer

Meena Thanikachalam, Senior Director, Data Strategy & Data Architecture, Ally

Krish Das, Head of Enterprise Data, Inspire Brands

Dustin White, Global Head of Risk Analytics & MIS, Visa

5:30pm

End of August 12 Session of Data & Analytics Virtual Summit Series

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Please contact your business development associate to reserve your hotel room.

1 user/pass
Data & Analytics, Artificial Intelligence, Business Intelligence, IT, and Data Governance Practitioners Complimentary*
Solution Providers $149.99*

*Subject to Opal Group’s verification and approval. Only individuals who are practitioners within the following areas qualify for a complimentary pass: Data & Analytics, Artificial Intelligence, Business Intelligence, IT, and Data Governance Practitioners. Practitioners and executives representing solution provider organizations must register as a sponsor attendee.



Sponsorship Opportunities


More networking, greater interactions, bigger ROI:

The Data & Analytics Virtual Summit Series is currently seeking solution providers to present case studies and share cutting edge solutions in the Data & Analytics space. Learn more about sponsored thought leadership opportunities by contacting info@opalgroup.net

  • Leveraging Data to Give Your Company a Competitive Edge
  • Transition Your Organization into a Data-Driven Culture
  • Leveraging AI to Help to Ensure that Data is a Source of Value for the Organization
  • Overcome Data and Analytics Complexity and Ambiguity to Drive Business Value
  • Building a Successful Data Governance Strategy
  • Creating an Analytically Driven Organization: Implementing an Advanced Analytics Program
  • Developing Innovative and Creative Strategies to Attract, Develop and Retain Data and Analytics Talent
  • Ensuring the Ethical Collection and Use of Data & Analytics
  • Implementing Predictive Analytics to Forecast Revenue and Improve Marketing Campaigns
  • Personalizing the Customer Experience to Yield a Higher ROI
  • Prescheduled One-to-One Meetings:
    Each participating solution provider and attendees will have pre-summit access to our matching software that allows you to completely customize your meeting agenda. The password-protected website provides the information needed to make your selections on who you want to meet with.

  • Exceptional Networking Opportunities:
    We strive to maximize your face-to-face time by providing a multitude of avenues to engage the senior executives in attendance. The agenda incorporates an off-site networking activity, networking luncheons and cocktail reception. Leverage the meeting’s intimate atmosphere to build strong personal relationships with current and future clients.

The CDAO Executive Summit is an invitation-only, exclusive event for heads of data, analytics, business intelligence, IT, artificial intelligence, data science, machine learning, deep learning, information architects and information governance from Fortune 1000 and leading enterprise organizations.

 

Chief Data & Analytics Officers (CDAOs)
Chief Data Officers (CDOs)
Chief Analytics Officers (CAOs)
Chief Data Scientists
Chief Data Architect
SVP/VP/Head of Data Management
SVP/VP/Head of Analytics
SVP/VP/Head of AI, BI & Machine Learning

 

To request your invitation today, please contact Katherine Ilagan at 212-532-9898 ext 233 or email info@opalgroup.net.

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      This experience was amazing. It was personal, conversational and relational. It expanded my knowledge and more importantly, my network. Laura Vostad

      POET, Dir. L&D

      What I enjoyed most was that the number of attendees was big enough to provide me a wealth of information, but small enough to allow me to network with almost everyone at the conference. I walked away with pages of notes, many new contacts and met some great vendors that we will likely do business with in the future. Shelby Pyatt

      Rayonier, VP, HR & IT

      By far, this was the most engaging, value added convening of leaders. It was the right mix of experience, learning, and networking. I absolutely enjoyed the Disney Tour and the book exchange was brilliant. The roundtables were also an added bonus. Sharahn Monk

      Worldpay, US Market Leader, Learning and Development

      Great event, very well organized with relevant speakers and potential business partners. I would recommend to anyone. Shawn Dingle

      Sonic Automotive, Senior Training Director

      OPAL is first class. It was the best Conference that I ever attended from the standpoint of speaker quality, organization, and venue. They really seem to care! John Barbieri

      Sompo International, VP, Human Resources

      I thought the whole conference was so well run and that the OPAL team did an amazing job. I would definitely love to attend another event! Tennille Boyer

      Blue Ocean Brain

      Excellent line-up of speakers Connie Keys

      Campbell Soup, Head of Culture & Learning