While governments around the world are identifying data as a strategic resource to drive economic and social progress, Hewlett Packard Enterprise believes that the lack of data maturity has led both the private and public sectors to Drive sales growth and environmental sustainability.
A study of more than 8,600 decision makers across 19 countries across industries and the public sector, conducted by YouGov on behalf of HPE, found that the average organization’s data maturity or ability to create value from data is , was revealed to be 2.6 on a 5-point scale. Only 3% reach the highest maturity level.
Antonio Neri, President and CEO of HPE, said:
“As the north star of digital transformation, we must move from cloud-first to data-first. you need to adjust your choices.
Lack of Data Capabilities Hamper Key Outcomes
Based on a maturity model developed by HPE, the study assesses an organization’s ability to create value from data based on strategic, organizational, and technical criteria. The lowest maturity level is called data chaos. At this level, data pools are isolated from each other and not systematically analyzed to yield insights and results. The highest level is called data economics. At this level, organizations strategically leverage data to drive results based on unified access to both internal and external data sources analyzed with advanced analytics and artificial intelligence.
Survey results show that 14% of organizations are at maturity level 1 (data anarchy), 29% are at level 2 (data reporting), 37% are at level 3 (data insight), and 17% are at level 4 (data centrality) , and just 3% are at level 5 (data economics).
Lack of data capabilities leads to key outcomes such as increased sales (30%), innovation (28%), improved customer experience (24%), increased environmental sustainability (21%) and increased internal efficiency. limit an organization’s ability to produce (twenty one%).
Organizations need to fill strategic, organizational and technical gaps
This study provides an in-depth view of the strategic, organizational, and technical gaps organizations must fill to leverage data across their value chains.
Here are the findings:
- Only 13% of respondents say their organization’s data strategy is an important part of their corporate strategy.
- Nearly half of respondents say their organizations either do not allocate budget to data initiatives (28%) or only occasionally fund data initiatives through their IT budgets (20%).
- Only 28% of respondents confirmed their strategic focus on providing data-driven products or services.
- Nearly half of respondents also said their organization does not use methodologies such as machine learning or deep learning, instead using spreadsheets (29%) or business intelligence and canned reports (18%) for data analysis. said.
- Creating value from data also requires data or data insights collected from different applications, locations, or external data spaces. For example, by sensoring telemetry from products sold by manufacturers, R&D departments can better tailor next-generation products to customer needs. And sharing insights from patient data across hospitals can advance medical diagnosis.
Organizations want control across the cloud and edge
A low data maturity level is characterized by the lack of a comprehensive data and analytics architecture, but the data is segregated into individual applications or locations. This applies to her 34% of respondents. On the other hand, only 19% of him have implemented a central data hub or fabric that provides unified access to real-time data across the organization, and another 8% of him say that this data hub has external data sources is also included.
Given that data sources are increasingly distributed in the cloud and at the edge, a majority of respondents (62%) believe that having a high degree of control over their data and the means to generate value from it is strategically important. says there is. More than half of respondents (53%) are concerned that data monopolies have too much control over their ability to create value from their data, 39% are concerned about rising cloud costs (42%), We are re-evaluating our cloud strategy because of our concerns. Security (37%), need for more flexible data architecture (37%), lack of control over data (32%).
HPE GreenLake brings the cloud to your data, maximizing control and results
“HPE’s strategy is focused on helping organizations accelerate results by extracting value from all data, no matter where it resides,” said Neri.
“The HPE GreenLake edge-to-cloud platform gives customers the freedom to choose the right location for their data and applications while providing a single operating model to orchestrate across edge, colocation, data center, and cloud. You can deploy an everywhere model, so that customers can manage their data estates and industrialize their data supply chain through a unified data fabric that enables analytics and faster decision-making.
“With the massive growth of data at the edge, organizations need hybrid edge-to-cloud architectures where the cloud reaches the data, not the other way around,” says Neri.
“HPE GreenLake gives organizations the ability to access, control, protect, manage, and unlock the value of their data anywhere, united into one consistent experience.”
HPE strengthens its hybrid cloud leadership by announcing new application, analytics and developer services for HPE GreenLake. This enables organizations to pursue a data-first modernization strategy for production workloads across hybrid cloud environments.