Claim OwnershipSecrets of Data Analytics Leaders
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Description
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.
261 Episodes
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Discover best practices to scale Power BI effectively—improving performance, governance, and self-service across enterprise environments.
Published at:
https://datalere.com/articles/power-bi-best-practices-from-the-field-lessons-from-enterprise-deployments
Chief Data Officers are expanding data sharing to drive productivity, innovation, and better decisions. Data marketplaces simplify access by connecting users to ready-to-use, high-value data through a centralized, self-service platform.
Published at:
https://www.eckerson.com/articles/how-data-product-marketplaces-enable-seamless-data-consumption-and-generate-value
All data management activities—whether internally or externally focused—should either reduce costs or grow earnings.
Published at:
https://www.eckerson.com/articles/book-review-how-to-make-money-with-data
This blog offers five guiding principles to help CIOs, CDOs, and team leaders optimize hybrid data environments.
Published at:
https://www.eckerson.com/articles/balancing-act-five-principles-to-optimize-hybrid-cloud-environments
This blog defines the governance requirements that streaming data pipelines must meet to make artificial intelligence/machine learning (AI/ML) initiatives successful.
Published at:
https://www.eckerson.com/articles/streaming-data-governance-three-must-have-requirements-to-support-ai-ml-innovation
Anthony Cosgrove, Co-founder at Harbr, tells us how successful data products focus on clear value propositions, tailored placement, intuitive packaging, and appropriate permissions.
Published at:
https://www.eckerson.com/articles/what-is-a-data-product
This blog, the second in a series, explores the mix of infrastructure types that support modern AI.
Published at:
https://www.eckerson.com/articles/cloud-on-prem-hybrid-oh-my-where-ai-adopters-host-their-projects-and-why
Despite $180 billion spent on big data tools and technologies, poor data quality remains a significant barrier for businesses, especially in achieving Generative AI goals.
Published at:
https://www.eckerson.com/articles/poor-data-quality-is-a-full-blown-crisis-a-2024-customer-insight-report
This blog discusses how GenAI and natural language processing are transforming SQL query generation, allowing non-technical users to access and query data easily.
Published at:
https://www.eckerson.com/articles/from-4gl-to-genai-how-sql-automation-has-evolved
This article by Piotr Czarnas, founder of DQOps, outlines a proven, team-based approach to tackling persistent issues like invalid data, delayed reporting, and inconsistent formats.
Published at:
https://www.eckerson.com/articles/overcoming-the-challenge-of-low-data-quality
This article explores how Product Information Management (PIM) helps manufacturers and retailers manage rich product data through phased attribution and collaborative workflows.
Published at:
https://www.eckerson.com/articles/keys-to-succeeding-in-your-product-information-management-pim-journey
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
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
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
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
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
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
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
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
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
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