Virtual
December 16, 2020
Unleashing the Power of Data with a Modern Data & Analytics Strategy
The Data & Analytics Fall/Winter Virtual Summit Series will feature three 1-Day Virtual Events taking place: September 30, October 28 and December 16
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 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.
Speakers for September 30, 2020 Scott Cohanpour, Enterprise Head of Architecture, Data and Analytics, GE Capital Adita Karkera, Deputy State Chief Data Officer, State of Arkansas Phanii Pydimarri, Head of Global Data Analytics, Bose Corporation Brad Kloth, Solutions Architect, WhereScape Marc D. Paradis, Vice President of Data Strategy for Northwell Holdings and Ventures, Northwell Health Rajesh Anandan, Co-founder & CEO, Ultranauts Dan Power, Managing Director, Data Governance, Global Markets, State Street Bryan Thomas, Solutions Architect, WhereScape Sean Butler, Director of Product Marketing, Privitar Meena Thanikachalam, Senior Director, Data Strategy & Data Architecture, Ally |
All Times in EST |
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Democratizing Data – Rethinking How Your Organization Manages, Distributes and Consumes Data |
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11:00am EST |
Virtual Welcome |
11:05am |
Chairperson’s Opening Remarks:
Democratizing Data – Rethinking How Your Organization Manages, Distributes and Consumes Data |
11:10am |
Opening Keynote Presentation
Resilient.Reusable.Robust: The Three R’s of a Sound Enterprise Data Strategy
Many organizations fail to launch successful analytics initiatives because they often miss out on the fundamentals. It is of utmost importance to couple any analytics strategy with an effective data strategy. This strategy must ultimately free up data scientists and business decision makers from time-consuming data wrangling. As the result, timely and quality insights can be produced to augment critical business decision making. The veracity of the analytics insights will only be as good as the underlying data that is used to model predictions. Join this engaging session as we review best practices for developing an effective enterprise data strategy.
Presented by
Scott Cohanpour, Enterprise Head of Architecture, Data and Analytics, GE Capital |
12:00pm |
Interactive Breakout
Implementing Cloud Data Warehousing to Improve Agility, Cost Effectiveness, Scalability and Performance
Presented by
Brad Kloth, Solutions Architect, WhereScape Bryan Thomas, Solutions Architect, WhereScape |
12:45pm | |
1:00pm |
Keynote Presentation
Implementing an Effective Data Governance Plan to Ensure that Your Data is Managed Efficiently and Strategically
Fostering an organizational culture that facilitates data democratization while enabling self-service can help teams make decisions faster. However, even though it’s critical for everyone to be able to access the data they need, it’s important to prevent them from performing analysis that leads to flawed business decisions. To achieve an effective balance between real-time access to date while keeping it secure, it’s imperative for the company to implement a data governance plan that weeds out inefficiencies and boosts accountability within and between business teams.
Join this interactive discussion as we talk about the best ways to implement an effective data governance strategy, such as:
Presented by
Dan Power, Managing Director, Data Governance, Global Markets, State Street |
1:35pm |
Interactive Breakout
Building Trust in Enterprise Data to Drive Business Decisions
Presented by
Rajesh Anandan, Co-founder & CEO, Ultranauts |
2:20pm |
Keynote Presentation
Leveraging AI to Help to Ensure that Data is a Source of Value for the Organization
When it comes to artificial intelligence (AI), there is no such thing as data overload. In fact, it’s quite the opposite – the more data, the better. Because AI systems have the ability to process enormous amounts of data, and their accuracy increases along with data volume, the demand for data continues to grow.As the lifeblood of AI, data is critical to helping you get the business insights you need to move your business forward.
In this session we will discuss ways to lay out the groundwork for successful integration of AI, such as:
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2:55pm |
Interactive Breakout
Ensuring that Data & Analytics are Prime Drivers of the Business Strategy
Presented by
Sean Butler, Director of Product Marketing, Privitar |
3:40pm |
Panel Discussion
Developing a Data-Driven Foundation that Becomes a Key Component of Organizational Culture
Massive quantities of data have the potential to fuel a new era of fact-based innovation in corporations, backing up plenty of new ideas with solid evidence. Supported by hopes of better satisfying customers, streamlining operations, and clarifying strategy, many companies have for the last several years amassed a ton of data, invested in new technologies, and brought in expensive analytical talent. Ensuring that data and analytics are seen as key areas of focus in an organization requires an overarching data culture that requires a number of components to be successful. However, for many companies, developing a strong, data-driven culture remains elusive, and data isn’t usually the universal basis for decision making.
In this interactive panel discussion, we’ll cover several things that your organization can do in order to help create and sustain a culture with data at its core, such as:
Panelists
Phanii Pydimarri, Head of Global Data Analytics, Bose Corporation Adita Karkera, Deputy State Chief Data Officer, State of Arkansas Marc d. Paradis, Vice President of Data Strategy for Northwell Holdings and Ventures, Northwell Health Meena Thanikachalam, Senior Director, Data Strategy & Data Architecture, Ally |
4:30pm |
End of August 12 Session of Data & Analytics Virtual Summit Series |
All Times in EST |
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Shifting the Organizational Mindset to Create a Truly Data-Driven Culture |
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11:00am EST |
Virtual Welcome |
11:05am |
Chairperson’s Opening Remarks:
Shifting the Organizational Mindset to Create a Truly Data-Driven Culture |
11:15am |
Opening Keynote Presentation
Changing the Organizational Mentality to Become Truly Data-Driven
Becoming truly data-driven requires changing mindsets, attitudes, and habits—embedding data into the identity of the organization. In a data-driven culture, people ask the hard questions and challenge ideas to come together with a shared mission and improve the organization with data. To achieve this, it’s important for leadership to inspire the workforce through action, basing decisions on data, not intuition.
Join this informative session as we review some core elements that are needed to create a truly data-driven culture, such as:
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11:50am |
Keynote Presentation
Utilizing Data-Driven Decision-Making to Improve Organizational Alignment and Grow the Business
Companies have access to more data than ever before, and ones that can leverage the data to drive decision-making gain a competitive advantage, reduce business costs and increase profit. By leveraging the wealth of data and digital insights available and embracing the power of business intelligence, it’s possible to make more informed decisions that will lead to commercial growth, evolution, and an increased bottom line. However, for many companies the data sits in dashboards and degrades, and they continue to make decisions that disregard tangible insight.
Join this engaging session as we review how organizations can effectively utilize data to drive decision-making and create smarter business decisions, such as:
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12:25pm |
Interactive Roundtable Discussions |
1:10pm |
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:
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1:45pm |
Keynote Presentation
Creating an Analytically Driven Organization: Implementing an Advanced Analytics Program
Many organizations have been charging ahead with bold investments in analytics resources and artificial intelligence by implementing analytics programs and hiring analytics talent, but many of them fail to convert their analytics pilots into scalable solutions. Unfortunately, top management often fails to really grasp the concept of advanced analytics by struggling to define valuable problems for the analytics team to solve, and they lack the full investment in building the right skills.
In this session we will review some important considerations to ensure your organization has the right talent that is necessary to making intelligent, data-driven business decisions, such as:
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2:20pm |
Interactive Roundtable Discussions |
3:05pm |
Keynote Presentation
Making Data & Analytics Strategies a Routine Boardroom Discussion Topic
Leading organizations in every industry are wielding data and analytics as competitive weapons, operational accelerants and innovation catalysts. Information as an asset is still in the “early adoption” phase, which makes it a competitive differentiator for leading organizations as they focus on digital transformation. In turn, data and analytics become strategic priorities. However, many companies continue to struggle under the weight of traditional business models and analog business process that discount the potential of data and analytics.
Join us in this engaging session as we discuss how to make data and analytics become the centerpiece of enterprise strategy and focus, by:
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3:40pm |
Panel Discussion
Women in Data & Analytics – Improving Talent and Leadership in Your Data Organization
It’s critical for an organization to align its culture with business goals, and perceptive data and analytics executives are actively implementing strategies to cultivate a distinct and inclusive culture that’s fully aligned with brand identity. They’re fully aware that women are making a huge impact in data and analytics, and have clearly become leaders in advancing data strategies and analytical research. However, many organizations realize that it’s a significant challenge for them to improve on their ability to pinpoint, engage and retain female data and analytics practitioners.
Join this highly engaging panel discussion as we discuss best practices for attracting and retaining female data and analytics talent, such as:
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4:30pm |
End of October 28 Session of Data & Analytics Virtual Summit Series |
Speakers for December 16, 2020 Charles Destefani, Director, Platform Operations, Department of the Air Force Chief Data Office Kamayini Kaul, Exec. Director Enterprise Information Strategy and Risk Management & Global Data Protection Officer, Bristol-Myers Squibb Chris Hutchins, VP, Chief Data & Analytics Officer, Northwell Health Besa Bauta, Chief Data Officer, MercyFirst Todd James, Senior Vice President - Data, Analytics, & Intelligent Automation, Fidelity Investments Michael Conlin, Chief Business Analytics Officer, U.S. Department of Defense Soyini Taylor, Enterprise Data Architect, Vodafone Guy Gomis, Partner & Practice Leader, Brainworks Bryan Thomas, Senior Solutions Architect, WhereScape Scott Cohanpour, Enterprise Head of Technical Architecture, Data and Analytics, GE Capital Yan Gu, Senior Manager, Advanced Analytics, BMO Financial Vicki Appel, Senior Vice President, Customer Success, Privitar Francois Mongy, Director of Connect BI, Nielsen Sneh Agrawal, Senior Manager, Global Practices, InfoCepts |
All Times in EST |
|
Unleashing the Power of Data with a Modern Data & Analytics Strategy |
|
10:00am EST |
Virtual Welcome |
10:05am |
Opening Keynote Presentation
Changing the Organizational Mentality to Become Truly Data-Driven
Becoming truly data-driven requires changing mindsets, attitudes, and habits—embedding data into the identity of the organization. In a data-driven culture, people ask the hard questions and challenge ideas to come together with a shared mission and improve the organization with data. To achieve this, it’s important for leadership to inspire the workforce through action, basing decisions on data, not intuition.
Join this informative session as we review some core elements that are needed to create a truly data-driven culture, such as:
Presented by
Charles Destefani, Director, Platform Operations, Department of the Air Force Chief Data Office |
10:40am |
Keynote Presentation
Implementing Cloud Data Warehousing to Improve Agility, Cost Effectiveness, Scalability and Performance
Moving data infrastructure to the cloud can offer your IT organization improved performance, elasticity, scalability and lower operating costs. It is also an opportunity for you to re-evaluate the current processes, roles and tools used to deliver enterprise data warehouses and identify new ways to increase your agility.
Join us in this informative session as we discuss the implementation of cloud data warehousing and share the following:
Presented by
Bryan Thomas, Senior Solutions Architect, WhereScape |
11:15am |
Keynote Presentation
Resilient.Reusable.Robust: The Three R’s of a Sound Enterprise Data Strategy
Many organizations fail to launch successful analytics initiatives because they often miss out on the fundamentals. It is of utmost importance to couple any analytics strategy with an effective data strategy. This strategy must ultimately free up data scientists and business decision makers from time-consuming data wrangling. As the result, timely and quality insights can be produced to augment critical business decision making. The veracity of the analytics insights will only be as good as the underlying data that is used to model predictions. Join this engaging session as we review best practices for developing an effective enterprise data strategy.
Presented by
Scott Cohanpour, Enterprise Head of Technical Architecture, Data and Analytics, GE Capital |
12:00pm |
Networking Break / Exhibitor Showcase |
12:15pm |
Keynote Presentation
Advancing Enterprise Analytics: Keys to Success
As organizations navigate through the transitions to become more data-driven there are many factors that can cause both success and failure. This session will highlight key areas to focus on as you endeavor to support this transition within your organization as an individual contributor or a leader who is charged with driving this function.
Join us in this session as we’ll share experiences working in the healthcare analytics field over the last 30 years and cover some keys that have proven valuable:
Chris Hutchins, VP, Chief Data & Analytics Officer, Northwell Health |
12:45pm |
Lunch & Learn
Building A Best-In-Class Data & Analytics Team: Strategies to Attract Top Talent
According to Mckinsey Global Institute, data-driven organizations are not only 23 times more likely to acquire customers, but they’re also six times as likely to retain customers and 19 times more likely to be profitable! Data and Analytics professionals are driving strategy, digital transformation, personalization, revenue growth and efficiencies across industries, and they are helping companies become more data-driven.
Join us in this informative session as we discuss strategies to attract and retain top Data & Analytics talent.
Presented by
Guy Gomis, Partner & Practice Leader, Brainworks |
1:25pm |
Keynote Presentation
Building “AI Proficiency” in the Business
As business models become more digital, organizations are in a race to acquire in-demand technical and analytical capabilities like data scientists, data engineers, cloud engineers, etc. But, what about the non-technical professionals in groups like marketing, product, sales, and operations? What do they need to understand about AI to unlock its transformative potential? Also, what role should IT and Analytics leadership play in this process?
Join this enlightening session as we address the following topics:
Presented by
Todd James, Senior Vice President - Data, Analytics, & Intelligent Automation, Fidelity Investments |
2:00pm |
Networking Break / Exhibitor Showcase |
2:15pm |
Keynote Presentation
Data Architecture Isn’t Agile…Enough: How Data Science and Data Architecture Can Work Better Together
Data Science is by its nature Agile but Data Architecture hasn’t become Agile to match. By Agile we mean, responding to ever-shifting priorities by delivering value in small increments through continuous, rapid cycles of time-boxed work.
Data science is mostly applied research and development, and wailing in frustration and despair. While data architecture is high ceremony, exhaustive steps, endless frameworks, and trying to figure out why there are 10 sort of similar but vastly different definitions of a customer. The end goal for data practitioners on both sides of the fence is the same…good quality data. With the amount of time wasted by data scientists wrangling and taming datasets, data architecture is an enabler that can help. So why aren’t data architects being invited to the party?
Presented by
Michael Conlin, Chief Business Analytics Officer, U.S. Department of Defense Soyini Taylor, Enterprise Data Architect, Vodafone |
2:45pm |
Keynote Presentation
Intelligent Automation: Automating the Supply Chain of a Data-to-Insights Factory
COVID-19 has taught us the hard way that business as usual will never be the same, and it’s critical to self-evolve to keep up with disruption. Successful companies have turned to intelligent automation to reimagine their operating models and service delivery frameworks. The promise of robotic process automation combined with data-driven autonomous insights based on AI and ML can fundamentally alter core processes for getting goods and services to consumers.
Join us in this highly informative session as we discuss:
Presented by
Francois Mongy, Director of Connect BI, Nielsen Sneh Agrawal, Senior Manager, Global Practices, InfoCepts |
3:15pm |
Panel Discussion
Women in Data & Analytics – Improving Talent and Leadership in Your Data Organization
It’s critical for an organizationto align its culture with business goals, and perceptivedata and analytics executives are actively implementing strategies to cultivate a distinct and inclusive culture that’s fully aligned with brand identity. They’re fully aware that women are making a huge impact in data and analytics, and have clearly become leaders in advancing data strategies and analytical research. However, many organizations realize that it’s a significant challenge for themto improve on their ability to pinpoint, engage and retain female data and analytics practitioners.
Join this highly engaging panel discussion as we discuss best practices for attracting and retaining female data and analytics talent, such as:
Panelists
Besa Bauta, Chief Data Officer, MercyFirst Yan Gu, Senior Manager, Advanced Analytics, BMO Financial Kamayini Kaul, Exec. Director Enterprise Information Strategy and Risk Management & Global Data Protection Officer, Bristol-Myers Squibb Vicki Appel, Senior Vice President, Customer Success, Privitar |
4:00pm |
End of December 16 Session of Data & Analytics Virtual Summit Series |
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1 user/pass | |
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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.
One of the biggest challenges that companies face is standing out from the crowd and getting exposure with executives from leading organizations. Your company has the perfect solution to some of the biggest challenges that L&D and talent executives are facing, but how do you grab their attention and present your success stories?
The Data & Analytics Virtual Summit Seriesis the perfect platform to gain valuable exposure for your brand with exclusive access to key decision makers and like-minded executives. The attendees at the Summit areall facing the same challenges, and this is an outstanding forum to benchmark and share ideas with practitioners from several different industry verticals. The virtual event provides a specialized, strategically-built experience for cutting-edge thought-leaders and solution providers to engage, interact, and build long lasting relationships.
Solution providers at the Summit have the opportunity to showcase their brand as a thought-leader in the Data & Analytics industry while developing new business relationships through unparalleled speaking sessions and virtual roundtables. Learn more about sponsored thought leadership opportunities by contacting info@opalgroup.net
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 Data & Analytics Virtual Summit Series is an exclusive event for Data, Analytics and Digital practitioners from Fortune 1000 and leading organizations across the world.
Chief Data Officer
Chief Analytics Officer
Chief Digital Officer
Chief Data Scientist
Chief Data Architect
SVP/VP/Head of Data & Analytics
SVP/VP/Head of Business Insights and Analytics
SVP/VP/Head of Artificial Intelligence
SVP/VP/Head of Business Intelligence
SVP/VP/Head of Machine Learning
To request your invitation today, please contact Bobby Swartout at 212-532-9898 ext 248 or email info@opalgroup.net.