Search Results for "Data Strategy"
![Looking Forward](/img/c70cd709b.jpg?width="600&height=400&fit=crop&q=60)
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](/img/130945be3.JPG?width="600&height=400&fit=crop&q=60)
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
![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
![Analytics Agility through Self-Service Data Enablement and Datameer Spotlight](/img/0e8326e05.jpg?width="600&height=400&fit=crop&q=60)
Analytics Agility through Self-Service Data Enablement and Datameer Spotlight
A self-service data analytics platform that can perform data unification capabilities for business users will break down many barriers within the analytics lifecycle.
![Three Necessities for a Modern Analytics Ecosystem](/img/75a899f6b.png?width="600&height=400&fit=crop&q=60)
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.
![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
![Insights from Enterprise Data World, Boston 2019](/img/3706cb39c.jpg?width="600&height=400&fit=crop&q=60)
Insights from Enterprise Data World, Boston 2019
The buzz from the thriving community centered on two primary themes at the EDW: data governance and data architecture strategies
![Insights from Data Architecture Summit 2018](/img/dd543c62b.png?width="600&height=400&fit=crop&q=60)
Insights from Data Architecture Summit 2018
DATAVERSITY's Data Architecture Summit brought some 350+ data professionals together in Chicago to learn, network, and discuss the challenges and trends surrounding enterprise data architecture
![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
![The Six Pillars of Enterprise Self-Service Data](/img/9a347a19a.jpeg?width="600&height=400&fit=crop&q=60)
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
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](/img/bc204657b.jpg?width="600&height=400&fit=crop&q=60)
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
![Data Lake Adoption and Maturity Survey Findings Report](/img/4a8361efb.jpg?width="600&height=400&fit=crop&q=60)
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