AWS Cloud Enterprise Strategy Blog
Tag: Data Strategy
Your AI is Only as Good as Your Data
Data powers groundbreaking generative AI; curate diverse, high-quality datasets to cultivate innovation, while mitigating risks and biases.
Data Lakes vs. Data Mesh: Navigating the Future of Organizational Data Strategies
For more than a decade, organizations have embraced data lakes to overcome the technical limitations of data warehouses and evolve into more data-centric entities. While many organizations have used data lakes to explore new data use cases and improve their data-driven approaches, others have found the promised benefits hard to achieve. As a result, the […]
Book Recommendations from the AWS Enterprise Strategy Team
Some of us like to use the holiday season and early part of the new year to step back from day-to-day activities and reflect. It’s a good time to plan a bit for the coming year and catch up on what others are doing and thinking. For me it’s also a chance to work my […]
2023 Year-End Blog Roundup
Happy holidays to everyone! During this time, I like to look back on the year in AWS Enterprise Strategy Blog posts to see what themes have emerged. This blog addresses the concerns and challenges voiced by executives during the Enterprise Strategy team’s approximately 1,500 annual meetings with AWS customers. Reflecting on these important topics reveals […]
What’s top of mind for Chief Data Officers going into 2024?
One year ago we published our first research report on the role of Chief Data Officers (CDOs). The renowned Tom Davenport, in partnership with MIT Chief Data Officer and Information Quality Symposium (CDOIQ), was commissioned to conduct a global study of CDOs across industries, tenures, and stages of the data journey. At the time I […]
What Are Three Things You Need to Do to Foster a Data-Driven Culture?
According to the worldwide bestseller Thinking, Fast and Slow by Nobel Prize winner Daniel Kahneman, people make decisions either intuitively or logically. Intuition leads to fast decisions; rational thinking leads to slow decisions. In organizations, it’s the other way around. Intuition leads to long decision-making processes; data- and fact-driven decisions lead to shorter processes. In […]
Is Your Data Foundation Solid, Future-Proof, and Value-Added?
Organizations need a powerful infrastructure to realize the full value of their data. The purpose of this infrastructure is to organize data, ensure its quality, manage metadata and create a central catalog where the organization’s data can be queried. This infrastructure, called the data foundation, enables organizations to have clean, organized, and easily accessible data […]
Creating a Pathway to Innovation by Becoming Data-Driven
Are you and those in your company struggling to innovate? Are you asking how others are innovating but still not finding a mechanism to drive innovation yourself? At work, we face problems daily and are consistently working to solve those problems. So why are our problem-solving activities not converting into innovation? As an automotive industry […]
Transformation and AI
We’ve all been busily transforming for the last few years. Now there’s this big AI thing. How does it relate to the rest of our transformation? Should we be changing or rethinking our transformation plans? The easy answer is no, but there are some subtleties. We transform to increase our agility in the face of […]
Prioritising Business Value Creation from Data
With data at the centre of every application, process, and business decision, nearly every organisation I talk to describes a quest to become more data-driven to discover and act on insights rapidly. They know there is gold to be found within the troves of their data, but—frustratingly—it usually doesn’t materialise in a timely way for […]