Hewlett Packard Enterprise:

Global edge-to-cloud company Hewlett Packard Enterprise (HPE) helps customers unlock the value of all their data, anywhere, so they can achieve better business outcomes. For decades, HPE has been reinventing the future and driving innovation to improve the way people live and work. HPE’s open and intelligent technology solutions – which include cloud services, servers, supercomputers, artificial intelligence, Intelligent Edge, software and storage – are delivered as a service, providing a unified user experience across clouds and distributed locations. This helps customers to develop new business models, introduce new processes and increase their operational performance.

Most people know Hewlett Packard Enterprise (HPE) as a storage, compute and networking vendor, but Hewlett Packard Enterprise CEO Antonio Neri called for a transformation three years ago – a transformation aimed at offering customers and partners a choice between a traditional purchase and a “cloud enterprise” in their own data center with HPE Greenlake.

“There is broad consensus that the world’s data holds enormous potential to improve the way we live and work. However, unlocking this potential requires a new approach to digital transformation,” said Antonio Neri, president and CEO of HPE. “We need to move from ‘cloud first’ to ‘data first’ as the guiding star of digital transformation – meaning that organizations align their strategic, organizational and technological decisions around the overarching goal of using data as a strategic asset.”

The digital transformation has progressed rapidly in recent years. Processes have been automated, data growth has been rapid, including through the use of the latest technologies such as e-cars, and new business springs have been tapped. Those who have realized the added value of data have been able to expand their business model even during lockdowns or also define new business procedures and processes so that the company does not suffer any damage. 83% of CEOs want their organization to be more data-driven, but only 24% of companies have implemented this. However, these have had an extreme increase in revenue and profitability.

What is the HPE Data Value Creation Maturity Model?

With the HPE Data Value Creation Maturity Model, HPE provides an online self-assessment with which companies can determine their own data value creation maturity level and compare themselves with the results of a survey. The detailed results for each maturity dimension provide a differentiated picture of the company’s own strengths and weaknesses. This can be used as a starting point to plan the next development steps to optimize your data value creation.

Average Data Value Creation Maturity Level at Organizations in Germany[/caption]

Low average data maturity levels make it difficult for both the private and public sectors to achieve goals such as revenue growth or environmental sustainability, according to a global survey conducted by YouGov on behalf of Hewlett Packard Enterprise (HPE). YouGov surveyed more than 8,600 executives in 19 countries on behalf of HPE. The analysis found that the average global data maturity score – or the ability to create value from data – is 2.6 on a 5-point scale. Only three percent of the companies and public institutions (hereafter also: “organizations”) surveyed achieved the highest maturity level.

In consulting projects, it has been stated time and again: There is no one “can opener” for data value creation – a holistic approach is required.
HPE maturity model considers six assessment dimensions – strategy, organization, ecosystem, data lifecycle, analytics and artificial intelligence, and operations.

The maturity levels are:

  • Data Anarchy
  • Data reporting
  • Data Insights
  • Data Centricity
  • Data Economics

The higher the maturity level, the more pronounced the following characteristics are:

  • The data strategy is a core component of the corporate strategy. Management has recognized the potential of data value creation, anchored it in the strategy, and actively manages its implementation (e.g., via budget allocations and performance reviews).
  • The company is the sovereign of its data value creation. It treats data as a core competence, has built up appropriate structures and expertise in-house, and avoids dependencies on individual technologies, service providers, or platforms.
  • The management, analysis and productive use of data are based on overarching structures. They include internal business units as well as external partners and ecosystems. This applies, for example, to organizational structures, processes, architectures, and technologies.

Therefore, a characteristic of low data maturity is that there is no overarching data and analytics architecture, but data is isolated in individual applications or sites.

HPE Data Value Creation Maturity Assessment

The Self-Assessment Model is a good starting point to understand your current status in terms of value creation from data and to get a first understanding of the respective situation in the market. However, to gain a better understanding, you need to go into more detail in all aspects of the maturity model. To this end, HPE has developed a workshop that brings together the different roles in your organization to look at all angles holistically.

The goal of the workshop is to look at 90 different aspects that HPE has captured in a very detailed questionnaire to provide a detailed overview of where you currently are on the journey to a data economy. They summarize the gap between the ACTUAL and TARGET states using a series of spider and balance charts to help understand where investments should be made in the next phase of the transformation journey.

Finally, HPE will present the results in a presentation to decide together on the next phase of your company’s development.