Data Preparation Software Resources
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Data Preparation Software
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
Data Preparation Software Articles
Data Manipulation Explained: 5 Best Practices for Quality Data
What Is Database Normalization? Types and Examples
What Is Data Wrangling? How It Enables Faster Analysis
A Brief History of Data and the Birth of Analytics Platforms
Data Preparation Software Glossary Terms
Data Preparation Software Discussions
Alteryx delivers enterprise-grade scalability by combining advanced automation, self-service analytics, and broad data integration in a single platform. Unlike traditional BI tools that rely heavily on IT or manual data prep, Alteryx allows analysts and business users to build repeatable workflows, automate data pipelines, and publish insights without coding.
For IT and data teams, Alteryx provides strong governance, API-based integrations (Snowflake, Databricks, Tableau, Power BI), and the ability to operationalize analytics at scale. This reduces bottlenecks and frees up engineering resources, while giving executives faster time-to-insight and clearer ROI.
At what point does Alteryx usually become a better fit than relying only on dashboards and reports?
Yes. Alteryx is designed for non-technical users with an intuitive, low-code interface that enables new users to build automated workflows in a matter of hours. With over 300 code-free and code-friendly tools and more than 100 pre-built connectors, analysts and business teams can prepare, blend, and analyze data without relying on IT.
Adoption is supported by a global community of 700,000 users, helping teams onboard quickly and share best practices. Trusted by more than half of the Global 2000, Alteryx provides governed, scalable self-service analytics that grow with your organization.
Which teams tend to get the most value from Alteryx first when rolling it out beyond data specialists?






