Data & Analytics Virtual Summit Series: June – August 2020

Speakers on June 17

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

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

Virtual Welcome – Create Avatar and Review Summit Navigation Tools

Chairperson’s Opening Remarks:

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

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.

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

Solution Provider Research Meetings | Networking Break

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

Solution Provider Research Meetings | Networking Break

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

Speakers on July 21

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

Create Avatar and Review Summit Navigation Tools

Virtual Welcome

Chairperson’s Opening Remarks:

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

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

Keynote Presentation

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

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

Networking Break | Solution Provider Research Meetings

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

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!

Interactive Roundtable Discussions

Networking Break | Solution Provider Research Meetings

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

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

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

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

Speakers on August 12

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

Virtual Welcome – Create Avatar and Review Summit Navigation Tools

Chairperson’s Opening Remarks:

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

Opening Keynote Presentation

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

Keynote Presentation

Reshaping the Workforce Composition to Be Certain that Your Organization Experiences a Successful Data Transformation

It’s critical to create an organization with updated data and analytics roles that are fit for the future, as the expanding importance of data and analytics generates strategic challenges for company leadership. In the business of the future, there are new responsibilities and requirements for data and analytic leadership, and it’s necessary to develop skillsets in new areas such as AI and machine learning. In addition to leadership direction, it’s important to develop new roles that are effective in the process of transforming your data and analytics functions.

In this informative session, we’ll discuss the key roles to focus on for developing your data and analytics workforce of the future, such as:

• Data-driven developers that will aid the organization in effective ways to manage data and analytics assets
• Data scientists and engineers that can investigate and scrutinize data variations in order to detect errors and anomalies in your data sets
• Data and analytics architects that can improve the organizational design of information assignments that are shared throughout the company
• IT product managers to help executive and IT leadership agree on how to effectively utilize data and analytics to generate revenue and drive business

Networking Break | Solution Provider Research Meetings

Interactive Roundtable Discussions

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

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

Networking Break | Solution Provider Research Meetings

Interactive Roundtable Discussions

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

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