Data & Analytics Fall/Winter Virtual Summit Series: September – December 2020

Virtual Event
December 16, 2020

22 days left

Welcome to Opal Group’s Data & Analytics Fall/Winter Virtual Summit Series: September

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.



Current as of November 23, 2020

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

Democratizing Data – Rethinking How Your Organization Manages, Distributes and Consumes Data

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:

 

  • Ensuring that your governance initiative leaders are “data native” experts that are empowered to enforce the strategies that they’re creating and implementing
  • Investing in user training so that everyone in the organization understands the scope, significance, and processes surrounding the data
  • Creating a series of resources that clearly outline and document the systems, policies, and procedures around using your organization’s tools
  • Implementing user permissions to ensure that end-users can only access data that suits their understanding, skills, and need

 

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:

 

  • Determining the most important areas in which AI can benefit the business
  • Ensuring that your IT infrastructure can handle the change
  • Investing in your employees’ knowledge of AI and its impact on data
  • Defining KPI’s and implementing a reporting mechanism that will help determine whether the platform can do what it promises to do
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:

 

  • Ensuring that the culture initiatives start at the very top, and are clearly supported by the C-suite.
  • Shifting the focus from supplying data to the business – to driving business value from the data and analytics programs
  • Fixing basic data-access issues quickly to ensure that the business doesn’t struggle to obtain even the most basic data
  • Utilizing analytics to empower employees and help them learn new skills and better handle the data
  • Leveraging big data and analytics in order to drive organizational innovation
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

Shifting the Organizational Mindset to Create a Truly Data-Driven Culture

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:

 

  • Creating a foundation of trust in the people and the data to develop high-trust, collaborative relationships
  • Making the commitment to treat data as a strategic asset and ensure that analytics projects tie back to critical business efforts
  • Prioritizing data skills in recruiting, developing, and retaining talent
  • Active sharing of best practices across the entire organization to develop a sense of community and support business objectives
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:

 

  • Examining corporate objectives and prioritizing data with business goals at the core
  • Finding and presenting relevant data to predict future trends and optimize current operational efforts
  • Democratizing data to empower the entire organization to access it and help make informed decisions
  • Extracting meaningful insights and analytical reports that will lead the company to make data driven business decisions
  • Continuing to examine, analyze, and question the data driven decisions to refresh and evolve the business goals
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:

 

  • 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
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:

 

  • Deciding on the key metrics that are truly meaningful for your business, in order to make the right recruiting decisions
  • Modeling the data correctly to properly plan the goals of your analytics team
  • Creating data and analytics content that’s mobile, easily searchable and quickly digestible, in order to improve the learning experience
  • Creating new, collaborative advanced analytics opportunities that inspire personal investment in the process
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:

 

  • Collecting examples of the internal and external economic benefits from data and analytics that your organization has generated
  • Committing to the information management and advanced analytics skills and technology investments that are necessary to realize that potential of data and analytics
  • Measuring and communicating the value of the organization’s information assets to help shift the culture into believing and behaving as if information is an actual asset
  • Building advanced analytics competencies beyond traditional business intelligence and embedding them throughout the business
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:

 

  • Providing awareness, education and advancement to women in data science, machine learning and artificial intelligence
  • Highlighting female leadership in your data and analytics organization as part of the brand strategy
  • Creating culture-changing employee experiences with data and analytics initiatives geared towards women in the organization
  • Implementing diversity and inclusion training geared at the data organization to ensure that female candidates have equal opportunities for advancement and leadership opportunities
4:30pm

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

All Times in EST

Unleashing the Power of Data with a Modern Data & Analytics Strategy

11:00am EST

Virtual Welcome

11:05am

Chairperson’s Opening Remarks:

 

Unleashing the Power of Data with a Modern Data & Analytics Strategy

11:15am

Opening Keynote Presentation

 

Managing Organizational Data During Times of Uncertainty

 

Despite the pandemic crisis that the world will be dealing for an extended period of time, most organizations still need to gather massive amounts of data, analyze trends related to this influx of information, gain insights, and make corresponding decisions. In fact, in a time of increasing uncertainty, they need to make better decisions with greater urgency and wider import at higher levels of risk. This demands an effective framework of the highest quality, well-understood data, delivered at speed and in considerable volumes.

 

In this session we’ll be discussing best practices for ensuring your data is managed and secured effectively, such as:

 

  • Establishing a business continuity plan that covers the restoration of technology and business operations in the event of an unplanned event
  • Developing a clear understanding of how, when and where your workforce should be working with sensitive data – and ensuring that it’s done in an approved way
  • Creating a robust monitoring and reporting system in order to help detect any data intrusions quickly and effectively
  • Moving your files onto secure servers offsite – such as through Cloud storage solutions – to ensure that the organization has a reliable copy of the data to restore from (or compare against) if a security issue does arise
  • Establishing a clear understanding of how to effectively roll out service enhancements
11:50am

Keynote Presentation

 

Implementing an Agile Approach to Data Unification

 

Data unification is an incredibly complex process and one of the biggest challenges that many organizations face today. Trying to combine all of the data across your organization into one master source is incredibly difficult to achieve at scale, particularly when hundreds of thousands of datasets are involved. Because of this data mastering crisis, there is an immediate need for organizations to provide agile and curated datasets.

 

In this interactive session we will discuss some of the principles for scalable data unification, such as:

 

  • Ingesting data and performing data cleaning
  • Performing schema integration and entity consolidation
  • Performing classification and other complex analytics
  • Exporting unified data to one or more downstream systems
12:25pm

Interactive Roundtable Discussions

1:10pm

Keynote Presentation

 

Personalizing the Customer Experience to Yield a Higher ROI

 

While the value of personalization is clear, the task can seem rather lofty. Despite the many challenges in creating dozens or even hundreds of different experiences for your customers, it’s imperative to make sure that your message speaks to each of them on an individual level. The organization must deliver real-time contextually relevant experiences that are informed by customer data.

 

Join us in this highly interactive session as we talk about the ways your organization can connect and aggregate data about your customers and their preferences, such as:

 

  • Implementing messaging that encourages active participation and celebrates customer achievements
  • Utilizing information about past interactions and purchases, and retargeting your audience on different platforms
  • Creating compelling and compatible content and experiences that stay with your customer throughout their whole journey
  • Utilizing innovative technologies based on market trends, customer behavior, and buying signals to ensure that content and messages reach the customers in a timely fashion and correct format
1:45pm

Keynote Presentation

 

Identifying and Seizing the Opportunities to Drive Business Value Through Advanced Analytics Innovation

 

In today’s increasingly data-driven landscape, the companies who succeed are equipped to put their data to work most effectively. Data analytics dramatically impacts both internal critical operations as well as external product or service delivery and customer experience. This is made possible by creating faster, more in-depth insights that enable better decision making and provide a huge opportunity to drive digital transformation across the business.

 

Join this session as we discuss the key points to successfully develop a solid analytics strategy, such as:

 

  • Engaging with internal clients to improve delivery of analytic projects needs
  • Supporting business transformation by providing thought leadership in analytic techniques and new solutions
  • Identifying data points opportunities across the digital and physical customer journey
  • Monitoring external trends to inform strategic decisions
2:20pm

Interactive Roundtable Discussions

3:05pm

Keynote Presentation

 

Utilizing Analytics to Improve Customer Engagement and Gain a Competitive Advantage

 

Effective data and analytics implementation allows organizations to use intelligence from feedback to tailor offerings that improve customer satisfaction. There are several factors to consider, including the use of a wide range of data sources, well-developed core analytics capabilities, and integration of artificial intelligence (AI) and the internet of things (IoT) into processes.Because of the more pervasive use of analytics,organizations must continue to improve their use of data and analytics to stay ahead.

 

Join this engaging session as we discuss ways to use data to increase customer engagement, such as:

 

  • Developing multi-channel customer support strategies that allows companies to communicate with customers via their preferred channels
  • Aggregating customer interactions, transactions, feedback, and agent data to provide an end-to-end picture of the customer journey
  • Creating compelling and relevant content and experiences that stay with the customer throughout their entire journey
  • Utilizing deep learning technology on industry trends, consumer behavior, and intent signals to ensure that content and messages reach the right customer at the right time in the right format
3:40pm

Panel Discussion

 

Creating a Data-Driven Culture – Making Data the Basis of Organizational Decision-Making

 

Regardless of industry, the biggest obstacles to creating a data-based business aren’t technical; they’re cultural. While it’s simple enough to describe how to inject data into a decision-making process, it’s far more difficult to make this normal, even automatic, for employees – a shift in mindset that often presents a daunting challenge. Leading a data transformation requires new mindsets and methods at every level.

 

Join us in this engaging session as we as we will discuss what’s needed to help create and sustain a culture with data at its core, such as:

 

  • Ensuring that executive leadership sets an expectation that decisions must be anchored in data – that this is the cultural norm, not a novel or exceptional initiative
  • Developing a clear and concise data strategy for every department
  • Implementing organization-wide data governance systems
  • Discovering patterns in data and experimenting with analytics solutions to see what really works in operational processes
  • Building deep data and analytics partnerships to ensure that your data is aligned with organizational business objectives
4:30pm

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

1star
The W Chicago - City Center
172 W Adams, Chicago, IL 60603
312-332-1200

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:

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

  • Defining an Effective Framework to Turn Data and Analytics into Quantifiable Results
  • Implementing an Effective Data Governance Plan to Ensures that Your Data is Managed Efficiently and Strategically
  • Developing a Data-Driven Foundation that Becomes a Key Component of Organizational Culture
  • Utilizing Data-Driven Decision-Making to Improve Organizational Alignment and Grow the Business
  • Making Data & Analytics Strategies a Routine Boardroom Discussion Topic
  • Women in Data & Analytics – Improving Talent and Leadership in Your Data Organization
  • Advocating and Developing Data Literacy to Support a Data Driven Workforce
  • Managing Organizational Data During Times of Uncertainty
  • Implementing an Agile Approach to Data Unification
  • Utilizing Analytics to Improve Customer Engagement and Gain a Competitive Advantage
  • 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.

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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