
Secrets of Data Analytics Leaders
Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.
Latest episodes

Mar 26, 2025 • 7min
Are You Cloud Bound? The Case for Migration, Repatriation or Keeping Your Analytics Projects On Premises - Audio Blog
As cloud adoption accelerates, not all analytics workloads are heading in the same direction. This blog explores three strategic options for data and IT leaders.
Published at:
https://www.eckerson.com/articles/are-you-cloud-bound-the-case-for-migration-repatriation-or-keeping-your-analytics-projects-on-premises

Mar 11, 2025 • 14min
The AI/ML Tool Evaluation Template: A Guide to Smarter Selection - Audio Blog
This article breaks down the evolving landscape of AI/ML platforms, from AutoML to full-stack AI workbenches, and provides a structured tool evaluation framework to cut through vendor ambiguity.
Published at:
https://www.eckerson.com/articles/the-ai-ml-tool-evaluation-template-a-guide-to-smarter-selection

Mar 10, 2025 • 14min
The Buyer’s Guide to Selecting the Right Enterprise Data & Analytics Tool - Audio Blog
This guide provides a step-by-step framework to assess vendors, align priorities, and make informed decisions about enterprise data and analytics tools.
Published at:
https://www.eckerson.com/articles/the-buyer-s-guide-to-selecting-the-right-enterprise-data-analytics-tool

Mar 6, 2025 • 10min
Ultimate Guide to Streaming Data Pipelines: Six Criteria to Evaluate and Select the Right Tool
This blog, the second in a series, recommends six criteria to help data leaders evaluate tools for managing streaming data pipelines.
Published at:
https://www.eckerson.com/articles/ultimate-guide-to-streaming-data-pipelines-six-criteria-to-evaluate-and-select-the-right-tool

Feb 18, 2025 • 7min
Why and How Streaming Data Drives the Success of Generative AI
This blog defines streaming data, explains why companies need it, and explores how streaming data pipelines feed multi-faceted GenAI applications.
Published at:
https://www.eckerson.com/articles/why-and-how-streaming-data-drives-the-success-of-generative-ai

Feb 6, 2025 • 9min
Managing Change in the Age of AI: The Head, Heart, and Herd Framework - Audio Blog
Change is inevitable, but adoption is key. From AI/ML tools to leadership shifts, success depends on aligning people, not just technology.
Published at:
https://www.eckerson.com/articles/managing-change-in-the-age-of-ai-the-head-heart-and-herd-framework

Jan 16, 2025 • 9min
Analytics and AI for SAP Environments: Build a Unified Data Foundation to Drive Advanced Use Cases - Audio Blog
This blog covers integrating SAP and third-party systems to build a unified data foundation for analytics and AI in conversational use cases.
Published at:
https://www.eckerson.com/articles/analytics-and-ai-for-sap-environments-build-a-unified-data-foundation-to-drive-advanced-use-cases

Jan 8, 2025 • 10min
Build or Buy RAG? Four Questions to Guide Your Approach to Retrieval Augmented Generation for GenAI - Audio Blog
This blog recommends four questions to help data and AI leaders compare homegrown and commercial options for retrieval augmented generation.
Published at:
https://www.eckerson.com/articles/build-or-buy-rag-four-questions-to-guide-your-approach-to-retrieval-augmented-generation-for-genai

Nov 28, 2024 • 18min
Predictions 2025: Everything is About to Change - Audio Blog
What will change next year? In the age of generative AI, the answer is simple: Everything!
Published at:
https://www.eckerson.com/articles/predictions-2025-everything-is-about-to-change

Nov 20, 2024 • 16min
The Shiny Allure of Data Observability - Audio Blog
Dive into the intriguing challenges of data observability, especially during data migration and integrity audits. Discover how standard tools fall short and the importance of using specialized solutions for reliable data governance. This discussion highlights the nuances between validating data migration and conducting ongoing integrity checks, emphasizing the need for dedicated approaches to ensure quality assurance.