Data is an incredibly valuable asset for organizations worldwide. With relevant insights, you can iterate quickly to stay ahead of customer needs, competitive influences, and trends. Data provides critical insights that make organizations leaner, more effective, and more resilient—and ultimately improves the overall customer experience.

With data growing faster than ever, today’s organizations are increasingly tasked with implementing strategies to leverage that data as a business asset. Despite widespread acknowledgment of the imperative to “transform into a data-driven organization” or “become more data-driven,” most organizations struggle or lag when it comes to acting on a data strategy.

With an end-to-end data strategy, you can manage the growing volume of your data, uncover insights across a variety of data types, and make it readily available to the right teams and systems.

By building your data strategy with Amazon Web Services (AWS), you get the benefit of the most reliable, scalable, and secure cloud and the most comprehensive set of data services.

This eBook gives you an inside look at ways customers are driving organizational transformation by unlocking the value of data. We’ll explore how leading organizations worldwide are using AWS to unleash the power of their data, derive insights, and make data-driven decisions.

1. Introduction: What constitutes an end-to-end data strategy?
2. 10 inspiring customer stories of data-driven success
3. ENGIE – Unifying data to energize the zero-carbon transition
4. BMW Group – Democratizing data usage at scale
5. ADP – Transforming payroll with 312 trillion data-driven decisions a month
6. Samsung – Migrating 1.1 billion users across three continents
7. Nasdaq – Slashing equities data latency by up to 90%
8. Philips – Activating data to unlock lifesaving insights at scale
9. OneFootball – Increasing the use of backend data services by up to 60%
10. Carrier – Powering the cold supply chain with predictive decision making
11. Braze – Improving customization with 360-degree engagement insights
12. AstraZeneca – Automating machine learning development gets products to market faster
13. Next steps: Propel success by extracting value from your data