Data is at the center of every application, process, and business decision—it’s the fuel for innovation and business growth. Advanced analytics, machine learning (ML), artificial intelligence (AI), and now generative AI have put a renewed emphasis on extracting value from data. But harnessing the value of your data isn’t easy. Managing diverse use cases, data types, and evolving needs requires more than a single database, data lake, warehouse, or business intelligence service. It requires thinking holistically and understanding how to make your data work together so you can put it to work for your organization. We encourage you to look first at the problem area you want to address and the outcomes you want to achieve. From there, work backward to understand how you can use data and AI to drive results in the targeted area. The eight solution areas covered here offer prime opportunities to use your data to transform functions and capabilities across your organization.

Data is the life force and the fuel driving modern businesses. HPE has a data-first strategy that can bring about the data-first transformation your business needs, enhancing your ability to uncover insights in data across edge-to-cloud. Uncovering the insights hidden in your data can give your business a significant competitive advantage. This paper lays out a strategic path to create a single, unified data source that can fuel analytics insights and AI/ML initiatives at scale. Learn how HPE can help you:

Measuring the value of data is a challenge for organizations amidst rising investments. Total cost of ownership (TCO) must encompass infrastructure, downtime, and hidden costs, while emphasizing the need for a strong data strategy and viewing data as a business asset. Simplifying data ecosystems, adopting scalable tools, exploring decentralization and emerging technologies, and investing in data innovation are key to unlocking data's value.