Data & Analytics Virtual Summit 2021

Speakers

Virtual Welcome / Opening Remarks

Opening Keynote Presentation

Scalable Data Analytics for Reducing Time to Value from Data

We now live in the era of compounded disruption. Unless capital waste and data waste is tamed by industries, sustainability will become a big issue. To tame the compounded disruption, one needs to reduce the time to value from the data. This is possible by leveraging emerging technology platforms, to streamline data pipelines for scalable data analytics. In this talk, I will discuss the value creation with scalable data analytics and future challenges for maximizing the value from data.

Fireside Chat

The CDO in 2021: Evolving the Role to Spearhead Transformation and Drive Business Value

With the role of the CDO becoming critical to the data-driven transformation demanded by enterprise organizations, it’s continuing to evolve as an integral business position. In 2021 and beyond, the office of the CDO will be seen as a mission-critical function – comparable to IT, Operations, HR and Finance. With data playing a key role in this time of disruption, the CDO is best positioned to create the business roadmap to harness data in order to drive new value streams.

In this chat, Inderpal will discuss the evolving role of the CDO, and key considerations moving forward, such as:

• Collaborating with senior leadership to drive a data-first culture across the organization, ensuring that data is a linchpin to decision-making
• Improving efficiency by making the data more accessible
• Promoting learning and inspiring leaders to gain new skills and knowledge that are needed to improve data literacy and drive business
• Infusing AI throughout the organization to fully automate multiple functions and reduce cycle times
• Building a truly data-driven culture by facilitating interaction among all departments in the organization, to ensure uniformity in decision-making and new business ventures

Keynote Presentation

Strategies to Measure Value from Your Data Teams and Projects

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. But 76% of CEOs are concerned with the lack of data skills in their workforce, and 85% of data science projects fail or show no value. By implementing intentional measurement strategies and increasing the technical literacy of the company as a whole, a greater variety of stakeholders can engage in the data analytics process and maximize the value extracted from data projects.

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

Networking and Exhibit Hall Break

Panel Discussion

Developing Technology Literacy as a Core Skill to Improve Decision-Making

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 technologies become more and more of an integral part of the business and a true organizational asset, the technology investment decisions must be made with more than just a rudimentary ability to convey and comprehend the technologies. As such, the importance of tech 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 tech 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 tech savvy literacy programs, 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 technology 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 technology-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 literacy

Fireside Chat

How to Build a Data Science Team that Yields Massive ROI

Jose Murillo built a data science team at Banorte which has yielded a net revenue in excess of 4 billion USD. In this session Jose and Taryn will discuss the key elements on building such a high performance team. Also, they will review what works and what does not work in order to transform into data enhanced organization. In particular, the relevance of a company-wide cultural shift towards experimentation and the importance of data literacy.

Keynote Presentation

The 3 Pillars for Effective Business Intelligence Governance

Business intelligence (BI) governance can be intimidating for many large enterprises. Users have access to multiple tools and content, and establishing a uniform layer of governance on top of a heterogeneous environment is a daunting task. However, governance is critical, and the lack of proper governance leads to poor user engagement and low ROI from BI investments.

Join us in this engaging session as we discuss the benefits of implementing an effective Business Intelligence Portal, such as:

• Managing information access and discoverability
• Optimizing BI content, license utilization, and staff resources
• Creating trust with your BI team and the content they produce

Keynote Presentation

The CDO as a Catalyst for a Data-Driven Culture

The CDO role started not so long ago, and the initial focus was mostly on technical aspects and ensuring influx of business use cases that will make an impact to an entire organization. In recent years, CDOs realized that regardless of their best efforts many Data Analytics projects still fail to create value, frequently due to lack of lack of proper knowledge and commitment on the business side.

As a great CDO, you realized that in order to be fully successful, you need to build a data driven culture that will serve as a fruitful ground for all your analytics work. However, in today’s world, when there is so much noise about big data and analytics, many people use the term but do not fully comprehend it. So, what does a data-driven culture really means? What does it take to build it? Why is it so hard? Why does a strong data-driven culture remain elusive for so many companies?

Join us in this enlightening session as we answer some of these questions and provide practical advice on how to successfully build and maintain a data-driven culture within your organization – depending on company size, culture and data literacy. We will discuss the most common challenges in this journey and reveal that many of them are not technical in nature.

Keynote Presentation

Powering the Modern Data Enterprise: How Data-Driven Teams Use Data Lineage for Strategic Advantage

No matter where you look, you’ll find that data lineage is the cornerstone of any successful data-driven initiative. Whether you’re looking for column-level granularity or need a bird’s eye view of your entire pipeline, understanding where data flows from, what happens to it, and how this affects assets downstream is critical for building a foundational trust in data. The challenge lies in knowing how to implement data lineage to truly take advantage of the capabilities it can unlock for your team.

In this enlightening session we’ll discuss how automated data lineage enables enterprise-wide data flow observability and strategic business advantages. Join us to learn about:

• Why automated data lineage is more important than ever
• Three unique data lineage use cases
• The core capabilities of MANTA’s automated data lineage platform

Networking and Exhibit Hall Break 

Keynote Presentation

How Modern Data Analytics Platforms Are Being Used to Uncover Additional Value From Your Data

Data Warehousing is becoming more and more important for robust analytics as data volumes grow. Analytics use cases are also growing in a range of business functions as more robust data integration and cloud technologies become increasingly available. As more data sources and analytics horsepower becomes available, supplementary use cases can be explored, such as analytic stacks that involve learning more and answering additional questions about your customers.

In this session, we will review important considerations associated with the following:

• Review data warehousing trends and burgeoning use cases by business function
• How to approach cloud technologies with an eye towards reducing TCO
• Considerations around changing data formats and web service data ingestion
• What does it take from a technology perspective to answers questions about a customer’s entire (360-degree) journey

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

End of Summit | Thank you!