Featured Research

How Alteryx on Azure Accelerates the Modern Analytics Lifecycle

The Modern Analytics Lifecycle with Alteryx on Azure can transform companies into data-driven organizations that empower business analysts and data scientists
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Making the Modern Analytics Lifecycle a Reality with Alteryx and AWS

The Modern Analytics Lifecycle on AWS can transform companies into data-driven organizations that empower their business analysts and data scientists
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Achieving Enterprise Self-Service Data

A successful enterprise self-service data strategy is dependent on a comprehensive set of core capabilities deployed together to empower business users with data
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Latest Research

Reference Architecture for Alteryx on Azure

This technical white paper presents the process, platform components and architecture patterns for an analytics environment

How Alteryx on Azure Accelerates the Modern Analytics Lifecycle

The Modern Analytics Lifecycle with Alteryx on Azure can transform companies into data-driven organizations that empower business analysts and data scientists

Reference Architecture for Alteryx on AWS

This paper provides a straightforward reference architecture for IT architects and senior personnel interested in deploying the self-service platform Alteryx on AWS

Making the Modern Analytics Lifecycle a Reality with Alteryx and AWS

The Modern Analytics Lifecycle on AWS can transform companies into data-driven organizations that empower their business analysts and data scientists

The Six Pillars of Enterprise Self-Service Data

These essential six pillars of self-service data serve the needs of three different groups within the organization: business users, IT development and the enterprise data management cult

The Platform Approach for Enterprise Self-Service Data Success

A single platform that incorporates all six pillars is the ideal approach for enterprise self-service data capabilities rather than an ecosystem of various tools and products. 

Leading Business Applications for Self-Service Data

Several important initiatives clearly benefit from self-service data’s key value propositions, such as customer 360 programs, compliance and GDPR, and ERP consolidations

Achieving Enterprise Self-Service Data

A successful enterprise self-service data strategy is dependent on a comprehensive set of core capabilities deployed together to empower business users with data

The Core Components of an Enterprise Self-Service Data Strategy

To implement an enterprise self-service data strategy, six pillars are the foundation required to fully empower users with data

Why Data Sampling Is Essential to Data Wrangling

Data sampling is essential to data wrangling and the future of working with data in every company striving to be more effective with their data assets

The Essential Role of Data Sampling in Data Wrangling Best Practices

Why data sampling is beneficial, statistically valid and necessary in the data wrangling process for faster results, an improved user experience and increased quality of resulting data outputs

The Reality of IoT Adoption

An overall positive sentiment is driving organizations’ desire to make IoT a reality, and early adopters are tackling challenges of data security, infrastructure, and skill sets

Internet of Things Market Study

Radiant Advisors and Unisphere Research publish a brand new study on the current state of IoT adoption and maturity

Data Lake Adoption and Maturity Survey Findings Report

By surveying both current and potential adopters in the industry, this study documents key perceptions, challenges and successes

Why Spark Matters

This paper guides the reader through the hype surrounding Spark to distill salient points on why Spark matters.

Insight Series: Visual Design

This Visual Design series covers the science, artistic curation and various cognitive processes enlisted in building effective data visualizations

Three Checkpoints for Enabling Governed Data Discovery

Learn what governed data discovery is and how to institute checkpoints within the discovery process to reduce friction between analysts and IT and enable governance and sharing of trusted, valid data

The Visual Design Checklist

This checklist is a guide to creating effective data visualizations and designing for visual dialogue.

The Data Visualization Competency Center™

Data Visualization Competency Center supports the use of effective self-service data visualization by providing best practices, standards and education

Enabling Governed Data Discovery

As business-driven data discovery continues to become fundamental, ensuring data and analytics are trustworthy and protected becomes more important

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