Product Selection Tips
There is an almost unfathomable number of data & analytics products on the market today. So how do you choose the right one for your organization? This topic page contains resources that both provide tips, tricks, and templates for navigating the evaluation and selection process as well as evaluation guides for specific technologies, such as data catalogs, autoML tools, data marketplaces, and performance dashboards.
Blog
February 24, 2025 This guide provides a step-by-step framework to assess vendors, align priorities, and make informed decisions about enterprise data and analytics tools.
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Blog
February 24, 2025 This article outlines Eckerson Group’s methodology for evaluating and selecting a data & analytics product, whether that’s a data platform, a data...
Frameworks
February 25, 2025 The Enterprise Data & Analytics Product Evaluation Templates provide organizations with ready-to-use scorecards and worksheets to streamline the...
Frameworks
February 25, 2025 The Data Catalog Evaluation & Scorecard Worksheet provides two structured approaches to assess vendors based on critical features, usability, and...
Frameworks
February 24, 2025 The AutoML Evaluation Worksheet & Scorecard provides a practical framework for assessing platforms based on usability, model diversity, security,...
Report
July 23, 2024 Faster, better, cheaper. That’s the mantra of a new breed of data catalogs that are easy to use, geared to business users, and built natively for the cloud. This report evaluates next-generation data catalog products so your team can quickly zero in on the right data catalog for your organization. It outlines the strengths and liabilities of each product; compares products in a visual quadrant chart; and contains a detailed worksheet used to score vendor products.
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Event
This webinar reviews the findings from a new report that evaluates and scores next-generation data catalog products.
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Report
January 20, 2025 This report evaluates, scores, and compares the leading vector database products. The aim is to help zero in on the right vector database for your...
Whitepaper
February 14, 2022 Data observability products monitor data quality and workload performance to ensure the delivery of accurate, timely data for analytics. Data engineers...
Report
October 31, 2019 This report drills into the technology and tools required to build robust, automated data pipelines with DataOps.
Report
September 5, 2024 This ultimate guide defines five product criteria to help data leaders evaluate data pipeline tools that support generative AI: functional breadth, ease...
Report
February 15, 2018 This report is a comprehensive guide to succeeding with embedded analytics.
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Event
This session of the What Work series 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.
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Report
June 3, 2022 Enterprises need to foster open collaboration between business owners, data scientists, machine learning (ML) engineers, and data engineers. The machine...
Report
May 13, 2022 Traditional techniques for ensuring data quality break at scale. Machine learning algorithms can automate aspects of the data quality workload, ensuring...
Report
March 3, 2022 This report profiles three leading data governance platforms from OvalEdge, Alation, and Informatica. Data leaders can use the report to evaluate which...
Report
February 8, 2022 Data exchanges provide a user-friendly experience within a secure platform to facilitate the sharing and monetization of data. They mirror other online...
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