HPE Research Highlights Rising Challenges in Meeting Enterprise Data Demands

Nov. 15, 2023 ­– Comprehensive data management and AI-ready infrastructure are requirements for success in the AI era, but most organizations today struggle to keep pace with enterprise data needs, according to new research from Enterprise Strategy Group (ESG) on behalf of Hewlett Packard Enterprise (HPE).

Credit: 2023 HPE Data and Infrastructure Management Maturity Survey

For many organizations, AI will put their IT organizations at a crossroads. Capturing value from data to thrive in the era age of AI-enabled insight will require enterprises to rapidly mature their approach to hybrid cloud and how they store, manage and protect data across its lifecycle.

In the new research, 2023 HPE Data and Infrastructure Management Maturity Survey, four core themes emerged:

• Hybrid Cloud: Two-thirds of enterprise agree that hybrid IT complexity slows digital initiatives. Data protection is cited as a major issue for hybrid cloud environments.
  
• Data Management: Seventy-six percent of enterprises say current data management capabilities cannot keep up with business demands.
  
• Unstructured Data: Large unstructured data is the most problematic data type and file data is viewed as a significant opportunity to improve analytics and application development.
  
• Cloud Operations On-Prem: Eighty-nine percent believe that achieving a mature cloud operational model for on-premises infrastructure is vital to minimizing complexity and increasing agility. 

Download the eBook: Being a Data-First Leader Continues to Matter

“Enterprises AI initiatives are important, but the first step should be to understand your foundational data infrastructure and capabilities and what opportunities exist to overcome complexity and accelerate your digital initiatives,” Ryan Brown, global field CTO, HPE. “With data spread across hybrid cloud environments, those that thrive in this next era will do so by adopting hybrid by design approaches that simplify their hybrid cloud operating model to unlock more value from their data.”

What results do data-first leaders achieve?

More mature organizations launch more products, beat competitors to market and better meet the needs of enterprise data innovators. Not only are more mature organizations delivering more value to their businesses, but they are also reducing infrastructure costs and time spent managing data.

How are enterprises doing it today?

• Shifting from infrastructure consumption to infrastructure-as-a-service (IaaS) and storage-as-a-service (STaaS)
  
• Adopting self-service cloud operations for VM and workload management
  
• Accelerating the automation of infrastructure management, data management and data protection

What can you do today? 

• Download the eBook: Being a Data-First Leader Continues to Matter
• Take the five-minute survey to see where your organization stands

Background on the research

ESG Research surveyed 750 IT decision makers and data science/engineering individuals from a wide spectrum of industry and organization sizes. ESG assessed maturity based on responses to questions related to the following topics: invisible, automated, AI-powered infrastructure management; comprehensive, automated, and effective data protection; a trend towards management simplification/unification; cloud provisioning experience for end users; workload placement intelligence and workload transformation prioritization.

About Hewlett Packard Enterprise

Hewlett Packard Enterprise (NYSE: HPE) is the global edge-to-cloud company that helps organizations accelerate outcomes by unlocking value from all of their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open and intelligent technology solutions as a service. With offerings spanning Cloud Services, Compute, High Performance Computing & AI, Intelligent Edge, Software, and Storage, HPE provides a consistent experience across all clouds and edges, helping customers develop new business models, engage in new ways, and increase operational performance.

Source: HPE