Product Selection Tips

Tips, Tricks, and Templates for Evaluating and Selecting Products

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

The Buyer’s Guide to Selecting the Right Enterprise Data & Analytics Tool

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.

Blog

Eckerson Group’s Product Evaluation and Selection Methodology

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

Enterprise Data & Analytics Product Evaluation Templates

February 25, 2025 - The Enterprise Data & Analytics Product Evaluation Templates provide organizations with ready-to-use scorecards and worksheets to streamline the...

Frameworks

Data Catalog Evaluation & Scorecard Worksheet

February 25, 2025 - The Data Catalog Evaluation & Scorecard Worksheet provides two structured approaches to assess vendors based on critical features, usability, and...

Frameworks

AutoML Evaluation Worksheet & Scorecard

February 24, 2025 - The AutoML Evaluation Worksheet & Scorecard provides a practical framework for assessing platforms based on usability, model diversity, security,...
Technology Evaluation Guides

Report

Next-Generation Data Catalogs: Five Products You Should Know

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. 

Event

Webinar: Next-Generation Data Catalogs - Five Products You Should Know

This webinar reviews the findings from a new report that evaluates and scores next-generation data catalog products.

Report

Vector Databases: Leading Products You Should Know

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

The Ultimate Buyer's Guide to Data Observability: Five Criteria to Evaluate Products

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

The Ultimate Guide to DataOps: Product Evaluation and Selection Criteria

October 31, 2019 - This report drills into the technology and tools required to build robust, automated data pipelines with DataOps. 

Report

The Ultimate Guide to Data Pipelines for Generative AI: Five Criteria to Evaluate Tools

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

The Ultimate Guide to Embedded Analytics: Keys to Product Selection and Implementation

February 15, 2018 - This report is a comprehensive guide to succeeding with embedded analytics. 

Event

What Works Series: How Data Products, Data Fabric, and Generative AI Make Self-Service Possible

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. 

Report

Deep Dive on Machine Learning Platforms: Three Tools to Consider

June 3, 2022 - Enterprises need to foster open collaboration between business owners, data scientists, machine learning (ML) engineers, and data engineers. The machine...

Report

Deep Dive on Data Quality Automation: Three Tools to Consider

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

Deep Dive on Data Governance Platforms: Three Tools to Consider

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

Deep Dive on Data Exchanges: Three Tools to Consider

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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