Jim Collins Flywheel Excerpt
An excerpt from Good to Great by Jim Collins
An excerpt from Good to Great by Jim Collins
Discover the full machine learning journey in 6 steps, learn how to transform investments into business-differentiating solutions, get insights from AWS machine learning experts, and more!
Learn the limitations of running legacy data analytics infrastructure on-premises, the Lake House approach that brings together the best of both data lakes and purpose-built data stores, and more!
This eBook explores factors driving digital transformation and business reinvention, reviews the imperatives for modernizing data infrastructure, and provides infrastructure components for success.
In this eBook, learn from leading organizations on how they used data, analytics, and machine learning to reinvent themselves. Start or expand your data journey now to accelerate innovation.
This eBook highlights the benefits of migrating data infrastructure to the cloud, the different data infrastructure to be migrated, and how migrating can save time, cut costs, and drive innovation.
In this case study you will learn how AWS has been instrumental in AstraZeneca’s internal infrastructure as a service strategy — helping the organization rapidly spin up new systems and environments.
This guide outlines the importance of building a strong data foundation so leaders are equipped to make data-driven decisions to respond to new opportunities faster.
Building a data strategy is imperative for organizations that want to stay relevant now and in the future. Harness your data to reinvent your organizations.
Explore challenges organizations face in establishing a data-driven culture and the four critical steps to begin to shift the mindset to treat data as a strategic asset to improve operations/growth.
Growing migration to cloud platforms and services, along with advances in artificial intelligence (AI) and ML, are accelerating analytics initiatives and helping overcome previous barriers to data.
Businesses want more value from their data. AWS provides open, secure, scalable, and cost-effective infrastructure that enables easy-to-build data lakes and analytics.
Companies need to devote attention to classifying and certifying analytical jobs they have and need to use analytics to improve both operations and opportunities for digital innovation.
The information covered in this paper helps organizations on their data-driven reinvention journeys and helps them avoid common pitfalls strategically.
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.
Get an in-depth look at how your enterprise can save time and money, reduce administration tasks, improve availability, and focus on innovation with AWS managed database services.
From talk to tangible. A real-world guide to machine learning is a guide to help you cut through the hype and go straight to the applications and benefits of machine learning, powered by AWS.
A modern culture of data is an environment of experimentation and innovation where everyone can and does use data to make decisions.
The Data Flywheel: Break free from legacy databases, move to managed services, modernize your data warehouse, build modern applications with purpose-built databases, and turn data into insights
The Data Flywheel is a comprehensive and additive approach that helps you get the most value from your data. Generate deeper insights from more data as it spins.
Explore the types of databases available, the differences between standard managed database services and cloud-native databases, and key considerations when planning the migration to the cloud.