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8 essential, data-driven solution areas for leaders

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.
Whitepaper Data Analytics
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Industrial Data Fusion: How to Collect, Orchestrate, and Analyze Data at Scale

The whitepaper explores how to collect, orchestrate, and analyze industrial data at scale using advanced edge computing and AI technologies, highlighting SECO’s Intel-based Palladio systems and Clea software suite.
Whitepaper Data Analytics
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Uncover insights hidden in your data from edge to cloud

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:
Whitepaper Data Analytics
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Beyond costs: measuring the value of data

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.
Report Data Analytics Innovation
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Basculer dans l’innovation

L’avenir des entreprises est centré sur les données mais, afin d’en recueillir les fruits, elles devront en accélérer le traitement là où les données sont collectées. Alors que les données deviennent encore plus cruciales pour leurs opérations quotidiennes, les PME doivent décider de la façon dont elles vont recueillir, conserver et analyser ces données. Bien que certaines entreprises continuent à investir dans les architectures traditionnelles, beaucoup se préparent à placer l’empreinte de leurs données en périphérie de leur réseau. Dans ce livre blanc, HPE vous aide à découvrir comment :
Whitepaper Data Analytics
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Moderniser l’analyse des données

De nos jours, le conseil d’administration de chaque entreprise a un mandat pour créer un avantage digital à partir de ses données, que ce soit pour créer de nouvelles expériences client, réduire les frais opérationnels ou mettre en place de nouvelles activités connexes. Ce dossier solution présente les services de Cloud HPE Ezmeral Unified Analytics, qui relient les équipes d’analyse et de sciences des données à toutes leurs données, avec pour but de contribuer à automatiser et simplifier les charges et les flux du travail d’analyse. Découvrez comment HPE peut vous aider à :
Report Data Analytics
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Teetering on the edge of innovation

The future of business is centered on data, but in order to realize the benefits, businesses will need to change how they can process data quickly where it’s collected. As data becomes more essential to daily operations, small and mid-size businesses need to make a decision about how they are going to gather, store, and analyze that data. While some organizations continue to invest in a traditional architecture, many are preparing to move their data footprint to the edge of their network. In this whitepaper, HPE helps you explore how to:
Whitepaper Data Analytics
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Modernize data analytics

Every enterprise today has a board-level mandate to create digital advantage from their data—whether to create new customer experiences, cut operational costs, or build new adjacent businesses. This solution brief provides an overview of the HPE Ezmeral Unified Analytics cloud services that connect analytics and data science teams to all their data, helping to automate and simplify analytics workloads and workflows. Learn how HPE can help you:
Whitepaper Data Analytics
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The future of integrated data and analytics

In this report you will learn a new approach to planning, xP&A, which will offer business leaders the ability to see the whole picture and make the right decisions, faster.
Report Operational Efficiency Data Analytics