![Looking Forward](/img/c70cd709b.jpg?width="600&height=400&fit=crop&q=60)
![Modern Data Architecture with Talend and Azure](/img/130945be3.JPG?width="600&height=400&fit=crop&q=60)
![Three Necessities for a Modern Analytics Ecosystem](/img/75a899f6b.png?width="600&height=400&fit=crop&q=60)
Latest Research
Looking Forward
2021 is not merely a year of return to business-as-usual but something even more exciting: An opportunity to reinvent and thrive in a post-pandemic economy.
Modern Data Architecture with Talend and Azure
The goal of a modern data architecture in the cloud is to leverage the benefits that allow agile teams to build and deliver high-quality data and analytics environments faster and more efficiently
![Agile Delivery Principles for Scalable Enterprise Analytics](/img/7363806c6.png?width="600&height=400&fit=crop&q=60)
Agile Delivery Principles for Scalable Enterprise Analytics
Speed and agility for delivering analytics are mostly derived from having an agile methodology for delivering data pipelines and data preparation
![Adopting Cloud-Native Architecture Principles](/img/1b6d49b37.png?width="600&height=400&fit=crop&q=60)
Adopting Cloud-Native Architecture Principles
Migrating to the cloud with Microsoft Azure and Talend presents the potential for speed and agility when guided by cloud-native principles
Three Necessities for a Modern Analytics Ecosystem
This white paper highlights the three specific necessities that consistently factor into the success of modern enterprise analytics
![Better Together: Data and Analytics Governance](/img/840e62b21.png?width="600&height=400&fit=crop&q=60)
Better Together: Data and Analytics Governance
Analytics governance must pick up where data governance leaves off to cover the full analytics lifecycle as users turn data into reports, dashboards, and analytics processes to deliver b
![Boosting Enterprise Adoption of Self-Service Data Analytics](/img/9a48112fd.jpg?width="600&height=400&fit=crop&q=60)
Boosting Enterprise Adoption of Self-Service Data Analytics
New organizations, processes, and technology approaches are required to enable people throughout the organization to work with data
![How to Determine the Right Growth Metrics for Self-Service Adoption](/img/b5672a662.jpg?width="600&height=400&fit=crop&q=60)
How to Determine the Right Growth Metrics for Self-Service Adoption
Defining a set of metrics will help to keep everyone involved with the mission to drive a data culture focused on accomplishing the right goals and communicate progress.
![Technology Considerations for Enterprise Self-Service Adoption](/img/66f5d64a6.jpg?width="600&height=400&fit=crop&q=60)
Technology Considerations for Enterprise Self-Service Adoption
Technology plays a key role in driving – or deterring – enterprise adoption of self-service data analytics
![Self-Service Analytics Requires New Processes and New Governance](/img/325a932da.jpg?width="600&height=400&fit=crop&q=60)
Self-Service Analytics Requires New Processes and New Governance
New data management processes for self-service will focus on governing data, managing output data and analytics models, and managing analytics workflows
![Grow Your Data Culture: A Mindset for New Enterprise Organizations](/img/571a374cf.jpg?width="600&height=400&fit=crop&q=60)
Grow Your Data Culture: A Mindset for New Enterprise Organizations
Our research shows that each company’s unique data culture is the leading factor in driving enterprise adoption of self-service data analytics
![The Tipping Point that Drives the Need for Enterprise Report Management](/img/9cff74286.jpg?width="600&height=400&fit=crop&q=60)
The Tipping Point that Drives the Need for Enterprise Report Management
A report management hub is a software platform that is independent of report development tools and provides unified visibility of each reporting tool’s available reports
![Modernizing the Enterprise Data Warehouse with the Cloud](/img/f73624119.jpg?width="600&height=400&fit=crop&q=60)
Modernizing the Enterprise Data Warehouse with the Cloud
Three concepts are relevant for the future of your data warehouse: what it means to be “enterprise,” what it means to be “modern,” and the impact of multi-cloud
![Accelerating Analytics with Alteryx and Snowflake](/img/ad9e8532d.png?width="600&height=400&fit=crop&q=60)
Accelerating Analytics with Alteryx and Snowflake
The strengths of Alteryx and Snowflake combine to optimize analytics while improving user experience
![Amplify Business Analytics with Your Operational Data, CDC, and a Real-Time Data Lake](/img/01eb2ccaa.png?width="600&height=400&fit=crop&q=60)
Amplify Business Analytics with Your Operational Data, CDC, and a Real-Time Data Lake
With a few clever steps in technology architecture, organizations can deliver timely data to analysts, BI teams, and data scientists without needing to hire teams of data engineers or push deadlines
![Streaming Operational Data to Cloud Data Lakes](/img/105db5ee3.jpg?width="600&height=400&fit=crop&q=60)
Streaming Operational Data to Cloud Data Lakes
This white paper clarifies the importance and value of populating a cloud-based data lake with streaming operational data, leveraging database replication and modern data integration techniques
![Reference Architecture for Alteryx on Azure](/img/10f8375df.png?width="600&height=400&fit=crop&q=60)
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](/img/36d464cd7.png?width="600&height=400&fit=crop&q=60)
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](/img/ba7287992.png?width="600&height=400&fit=crop&q=60)
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