Secrets of Data Analytics Leaders

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

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 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

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