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Most organizations accept that their data has value and should be managed as an asset, but few organizations can determine the value of their data. Wayne and Sean will discuss the benefits of data valuation and a methodology to assess the strategic and operational (non-monetary) value of data assets. 

You Will Learn: 

• Why is it important to assess data value to support strategic planning and data management

• Why is it difficult to assign monetary value to data

• When and how is data a liability

• What are the criteria and process for assessing data value 

• How can data valuation metadata be used to support data management 

Consultant: Sean Hewitt, Senior Consultant, Eckerson Group 

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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Data teams have achieved incremental productivity benefits by conversing with standalone generative AI tools such as ChatGPT, Bard, and BLOOM. The next step is to take advantage of data management and analytics tools that embed generative AI. These tools offer language model (LM) assistants that help manipulate and interpret domain-specific data through a conversational interface. Down the road, they will empower companies to weave generative AI into their internal applications and operational workflows.

This 3-hour virtual event is designed to help data & analytics leaders evaluate and select products that democratize data access and learn best practices for implementing them. Besides creating short lists of analytics products, it will review best practices for managing data analysts, teaching them business communications skills, and establishing compelling career paths. 

Attendees Will Learn:

● Innovative approaches to implementing language model assistants

● Criteria to evaluate and select the right GenAI-embedded tools

● Ways in which language models learn, process, and generate content

● How GenAI integrates with enterprise environments

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The demands and expectations on data and analytic leaders are accelerating. Leading teams and organizations into the possibilities enabled by generative AI requires effective leadership. Specifically, generative AI will disrupt and create opportunities across the data lifecycle, from acquisition to insights to action. Non-technical skills such as communication, empathy, and influence are no longer limited to specific roles but essential for the entire team.

This session will guide you through specific actions and suggest tools to establish your leadership baseline, priorities, and methods to execute intentional leadership growth plans using agile methodologies.

You Will Learn:

• Why leadership is important and how it is acquired.

• How to use a leadership development framework for assessment, planning, and action.

• How the circle of control and influence empowers our leadership approach.

• A case study demonstrating how intentional leadership development enhances team performance.

Consultant: Brad Schwartz, Founder and Principal, Tech Leaders Coach 

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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Data modeling has been a data analysis and design discipline for decades, but in recent years it has become a lost art for many data teams. Attention to modeling diminished with the adoption of big data, data lakes, data pipelines, schema-on-read, and other modern data trends. Still, data modeling is a core data engineering skill—one that is deficient or missing in many data engineering teams. It is time to rediscover the lost art of data modeling. 

You Will Learn: 

• Modern uses for older techniques – relational and multi-dimensional data modeling

• Rethinking the roles of logical and physical data modeling 

• Higher levels of abstraction – conceptual and semantic data modeling 

• Sematic data models a data translators for APIs, data services, and data products 

Consultant: Dave Wells, Analyst, Eckerson Group 

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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Dremio, with Eckerson Group analyst, Sumit Pal, will share insights on how businesses are confronting new analytics challenges. This information is derived from a recent survey report based on a comprehensive study of 500 organizations. Learn how these organizations are embracing data lakehouses to combine the scalability of data lakes with the capabilities of data warehouses.

Attendees Will Learn:

● Benchmark your organization by learning about the recent data and AI trends from a new survey of over 500 organizations: Includes the current and future State of the Lakehouse, table format, data mesh, and AI adoption

● Data Analytics industry trends and top predictions for 2024

● Discover cost-effective data management practices to boost enterprise data adoption and maturity

Sponsor: Dremio