A new study from Forrester Consulting, commissioned by Oracle*, emphasises the essential role of multi-hybrid cloud platforms to collate the mass of information that enables analysis of insights and inform business-critical decisions.
The study, entitled Moving the Needle: Data Management for the Multi-Hybrid Age of IT, explains that 82% of the 670 senior technology decision makers recognise that investing in the right data management strategy will lead to better business outcomes. But 73% admit that they have disparate and siloed data strategies that are stopping them from providing business stakeholders with the data they need.
Chung Heng, Senior Vice President, Oracle Systems, JAPAC and EMEA said, “Organisations in Asia Pacific are making strong progress in terms of unifying data sources and getting on top of data security and governance requirements. But the study also reveals that their intense focus on these areas may be holding them back from realising some of the benefits of multi-hybrid cloud they need right now around providing access to unique capabilities and supporting diversification. In fact, only a third of companies in JAPAC appear focused on this aspect of data management as compared to over two thirds in Europe. They need to make sense of living in a multi hybrid cloud environment as soon as possible, or risk being left behind.”
As the study shows, with increased complexity, compounded by working across different IT environments, 64% of respondents are grappling with the challenge of managing a multi-hybrid infrastructure. So it’s not a surprise if 70% of organisations consider the need to simplify their IT processes as a high priority.
One issue highlighted by the study is that concerns and focus around data security and data governance are limiting businesses from gaining key benefits. According to the research, the adoption of multi-cloud data hosting is driven by the need for diversification as well as access to unique capabilities –6 out of 10 respondents mentioned “accessing specific technology or capabilities” as drivers for their multi-cloud strategy.
However, even though 83% of firms believe that data security requirements are of high or critical priority as they advance along their data management roadmap, half of respondents say they currently lack the ability to adequately ensure data protection and comply with security regulations.
Given these challenges, the study recommends that organisations look to their technology partners for a unified data platform that will provide end-to-end visibility across their hybrid environments, along with the security foundations that are flexible enough to meet current and future data complexities.
KEY FINDINGS
- 82% want their data strategy to lead to a better understanding of the customer and a better customer experience.
- 73% of organisations report disparate and siloed data strategies that stop them from achieving this goal.
- 73% of organisations report disparate and siloed data strategies that stop them from achieving this goal.
- 36% of the data is still hosted on-premise, 19% is hosted on a public cloud and 18% on private cloud.
- The nature of the data collected by these organisations has considerably changed – with 31% being tabular/structured and the remainder being non-tabular/semi structured or unstructured data. Of the latter, are 18% text data and the rest evenly distributed across images/video, machine generated data, streaming data, and others.
- Public sector and retail shows low data strategy maturity: 34% of public sector and healthcare organisations have an incomplete data strategy.
*Oracle commissioned Forrester Consulting to evaluate the state of data management strategy, specifically in organisations across Asia Pacific (AP) and Europe and Middle East markets. Forrester conducted an online survey of 670 technology and business decision makers with responsibility over data infrastructure and data strategy, while also conducting exclusive interviews with 10 C-level executives across these respondents to dig deeper into their approach, drivers, and best practices of data management.
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