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Our industry has been on a 30-year  march to self-service analytics. The road has been long and dusty with the destination nowhere in sight. Now, three new technologies, along with some hard-won knowledge about how to do data & analytics right, move the promise of self-service analytics from a distant mirage to a real possibility for organizations.  This session will explore the rise of data products, data fabric, and generative AI and how these new technologies and approaches are changing the nature of how business users consume data & analytics.

Consultant: Wayne Eckerson, Lead Consultant

About the What Works Series:

The What Works Series provides data and analytics leaders practical advice about how to succeed in key areas: data strategy, data architecture, data governance, data literacy, self-service analytics, and emerging technology approaches. These interactive sessions are delivered by Eckerson Group consultants who collectively have 200+ years of data & analytics experience. The sessions are unsponsored, enabling our experts to offer the unvarnished truth about trends, tools, and technology unfiltered by software vendors.

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Many organizations have difficulty implementing data literacy programs because they plan too much or too little. A data literacy program that benchmarks the analytical skills of each user and tailors programs to them can be overwhelming to pull off. Conversely, some organizations develop a generic training plan for all users. The best approach to manage scope by focusing on the training and support requirements of each new application.

This session will provide foundational knowledge required to implement an effective data literacy program. It will discuss personas, dimensions of data literacy, and assessment products. It will provide a step-by-step methodology for how to incorporate data literacy into new data products, and how to deliver a positive return on investment (ROI).

Consultant: Josh Reid, Senior Consultant

About the What Works Series:

The What Works Series provides data and analytics leaders practical advice about how to succeed in key areas: data strategy, data architecture, data governance, data literacy, self-service analytics, and emerging technology approaches. These interactive sessions are delivered by Eckerson Group consultants who collectively have 200+ years of data & analytics experience. The sessions are unsponsored, enabling our experts to offer the unvarnished truth about trends, tools, and technology unfiltered by software vendors.

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Has your data governance program failed to gain traction? Is it struggling to deliver value? Do business people shy away from data governance meetings and responsibilities? If so, don't worry: many data governance initiatives fail to deliver real value. They are generally poorly organized, lack focus, and are perceived as extra work by employees.

This session will introduce a new approach to data governance we call governance by design. This methodology bakes governance tasks into the project plan of a strategic initiative. This has many advantages: data governance becomes part of the normal workflow,  not an external program to manage; users see an immediate impact and don't question the value of data governance; and approach generates better data and a culture of governance. This session will describe data governance by design and provide tips on how to apply the methodology.

Consultant: Sean Hewitt, Senior Consultant

About the What Works Series:

The What Works Series provides data and analytics leaders practical advice about how to succeed in key areas: data strategy, data architecture, data governance, data literacy, self-service analytics, and emerging technology approaches. These interactive sessions are delivered by Eckerson Group consultants who collectively have 200+ years of data & analytics experience. The sessions are unsponsored, enabling our experts to offer the unvarnished truth about trends, tools, and technology unfiltered by software vendors.

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Today’s cloud environments enable organizations to create a modern data architecture for analytics, one that gives an organization the ability to provide data to everyone that needs it, when they need it, and in the form they need it.

In this session, Carlos Bossy will cover the data architect’s journey to achieving this goal. We will review the guiding principles for a modern data architecture, together with methods and concepts for their implementation. The result is an architecture that enhances the capabilities of data-driven organizations.

Consultant: Carlos Bossy, Senior Consultant

About the What Works Series:

The What Works Series provides data and analytics leaders practical advice about how to succeed in key areas: data strategy, data architecture, data governance, data literacy, self-service analytics, and emerging technology approaches. These interactive sessions are delivered by Eckerson Group consultants who collectively have 200+ years of data & analytics experience. The sessions are unsponsored, enabling our experts to offer the unvarnished truth about trends, tools, and technology unfiltered by software vendors.

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The data lakehouse fosters innovative analytics as it merges elements of the data warehouse and data lake. It enables data engineers to support data analysts that manage business intelligence (BI), data scientists that manage artificial intelligence/machine learning (AI/ML), and business managers that play a rising role in analytics. And now the lakehouse empowers enterprises to reinvent their businesses with generative AI. 

This webinar defines the characteristics, adoption drivers, requirements, benefits, and use cases of a modern lakehouse platform, then explores how data teams should architect and manage the pipelines that deliver data for analytics and AI. Attendees also will learn how to deliver consolidated, accurate, and governed data for AI/ML model training with Databricks and Matillion.

Join this webinar with Kevin Petrie, VP of Research at Eckerson Group; Mark Balkenende, VP of Product Marketing at Matillion; and Denis Dubeau, Lead Solution Architect at Databricks.

Sponsors: Databricks and Matillion