Without a data strategy, effectively exploiting data becomes complicated


According to the Digital Realty study, one of the priorities of companies is to improve their data infrastructures to facilitate the exploitation of data.

A global study by Digital Realty points to the growing challenges businesses face in leveraging data, particularly the proliferation of voluminous sources that make trading difficult. Formalizing a data strategy becomes essential in the face of these challenges.

AdvertisingA study conducted by Digital Realty among 7,295 IT managers in 23 countries looked at how companies are dealing with the challenges associated with data growth and the proliferation of hosting, as well as the ancillary phenomena that accompany them, such as the gravity of the data, a term for the fact that large volumes of data tend to attract other data and applications, making the data difficult to move. In response, the study highlights in particular the importance of adopting formalized data strategies, to avoid recreating silos.

The Global Data Insights study reveals that the number one obstacle companies face when it comes to exploiting data is the lack of investment in systems and infrastructure, cited by 53% of respondents, but only a third of those working in groups generating more than one billion in turnover. One out of two respondents also mentions insufficient investment in analytical tools (31% in very large groups). The third most frequent barrier relates to data protection regulations, cited by 35% of respondents at the global level, but by 41% of very large groups. Another important issue is the distribution of data. In 62% of the very large groups questioned, the data is spread over more than fifty sites. However, smaller companies are also affected: globally, 36% of respondents have between 11 and 20 different sites and 30% between 21 and 50. to add new hosting points for their data in the next two years, particularly in very large groups, 70% of which plan to add at least six to ten sites.

In France, more centralized strategies

The needs for integration, hybridization and connectivity that arise from these challenges are clearly identified by the majority of respondents. However, faced with these challenges, nearly four out of ten companies (38%) do not have a data strategy formalizing these requirements, or are only at the planning stage. The very large groups have a certain lead on this subject, 44% of them having already implemented a formal strategy. The Digital Realty study also shows that organizations adopt different strategies to organize and manage data: a quarter of respondents have opted for very centralized models (including 27% of large companies) and 23% on the contrary prefer a highly decentralized strategy (18% of large companies). In France, however, large companies prefer very centralized (40%) or fairly centralized (40%, compared to 28% of large companies worldwide) approaches. Asked about their motivations for adopting one or the other approach, proponents of centralized models highlight the optimization of data management budgets and compliance with the general IT strategy, while those who prefer decentralized models mention times faster processing times and leaving data close to those who need it most.

AdvertisingTo become more data-driven, companies have several priorities for the next two years. The first, shared by 72% of respondents globally, but only a quarter of very large organizations, is to improve data infrastructure. 65% of respondents also want to increase the capabilities of their employees around data (45% of large groups) and 59% plan to invest in artificial intelligence and machine learning technologies (42% of large companies). Very large companies, on the other hand, stand out on one point, educating managers and the executive committee on the importance of the data, a priority for 61% of them.

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Without a data strategy, effectively exploiting data becomes complicated

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