Search Results for "Data Strategy"

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

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

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

This white paper highlights the three specific necessities that consistently factor into the success of modern enterprise analytics

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

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

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

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

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

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

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

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

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

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

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