Based on a combination of survey research and in-depth executive interviews, this report explores how organizations today are using data to drive business value. It’s sponsored by Amazon Web Services, and the views expressed within are those of MIT Technology Review Insights, which is editorially independent.
Other content in this Stream
Prioritizing business value creation
Data is at the center of every application, process, and business decision. Nearly every organization is on a quest to become more data-driven to more quickly discover and act on insights.
Unmasking your organization's data problem
Most of us think of big data problems as being about volume.
10 stories of data-driven success
How leading organizations are maximizing business value with an end-to-end data strategy on AWS
A builder’s guide to AWS analytics services
The right analytics tools to make data and insights available to everyone in your organization
Modernize your analytics approach
Data, the lifeblood of all businesses, is pouring in from sensors, networks, applications, and an ever-expanding hoard of connected devices.
Maximizing business value with data: 6 essential data-driven use cases for leaders
Learn how organizations are putting their data to work to drive tangible results
10 Stories Data Driven Success
In this eBook, we’ll examine the three pillars of achieving a modern data strategy: modernize, unify, and innovate.
IDC: The Business Value of AWS Data Lakes, Analytics, and ML Services
AWS data lakes, analytics, and machine learning (ML) services are designed to help companies turn data into insights in an easy and secure fashion.
IDG CIO Guide: Rewiring your culture to be data-driven
This e-book explores the challenges organizations face in establishing a data-driven culture and the four critical steps they can take to begin to shift the collective mindset.
IDG CIO Guide: Modernizing Your Data Infrastructure
This e-book explores why data modernization is a defining moment for any organization looking to reinvent itself.
CIO guide: building a modern strategy for analytics and machine learning success
This e-book explores how the growing migration to cloud platforms and services, along with advances in artificial intelligence (AI) and ML.
Make data a strategic asset
Learn from Toyota Racing, Expedia, and more on how they use analytics and machine learning to get insights from data and stay one step ahead of customer needs.
Reinvention starts with cloud migration of your data infrastructure
This eBook shows the benefits of migrating data infrastructure, like storage, database and analytics, and how businesses spend more time innovating by doing so.
Put your data to work with a modern analytics approach
Learn the limitations of on-prem analytics infrastructure, and how the Lake House approach brings together the best of data lakes and purpose-built data stores.
Harness data to reinvent your organization
This ebook introduces the challenges when it comes to becoming data-driven, and 3 stages to achieving organizational reinvention by becoming data-driven.
Building a Winning Data Strategy
This guide outlines the importance of building a strong data foundation. Discover how actioned analytics pave the way to new customer value.
The New Leadership Mindset for Data & Analytics
This guide provides insights, research, and strategies to identify and grow data talent, initiate successful data strategies, and empower a data-driven culture.
The data-driven enterprise
This eBook shows what it means to be data-driven and how companies are using data to drive their businesses. Leverage data to improve efficiency and agility.
A strategic playbook for data, analytics and machine learning
Learn the 5 characteristics of a data-driven organization. Understand the benefits of a cloud-based data foundation. Discover 5 steps to modernizing your data.