Cloud data storage: challenges and opportunities

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It is often said that data is a vital asset for institutions and that today it is something like “the new oil”, the central element to obtain a competitive advantage. But, in reality, Is this really the case?

To ensure that the data is valuable to the company, a series of steps must be completed. The fact of taking them to cloud is a key first step, insofar as it helps to free data from technical barriers and favors its accessibility and availability.

From 2020 around fifty% of all corporate data is stored in the cloud.

Source: Statista

But, What are the advantages of being in the cloud for data management, In other words, to move towards cloud data management? In the past, data was prisoners of applications and systems that could not be accessed. This same complexity meant that entrepreneurs had to turn to systems technicians to ask them about their requirements..

Storing data in the cloud enables you to partially overcome this limitation: you get much more flexibility and can double or triple the size of the data being stored in seconds.

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You may be interested in continuing reading: The new normal is being in the cloud

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Despite this, reality shows that moving some systems to the cloud is progress, but not enough. How do you explain Juan Onate, Executive Director of PowerData, “So that the data we store in the cloud becomes business value, a set of transformations must be completed that allow us to modernize data management.

The value of data in the cloud

Cloud storage brings two fundamental advances: flexibility and scalability. But if there is no effective procedure change in the company, the expected value of the data will hardly be found.

Cloud data storage simplifies infrastructure, but it is not enough for business users to access the power and value of data.

And what are the items that will help to achieve that value? The change involves a chain with many links. -Oñate points out-. Data first They must be correct, complete and integrated with the set of systems, both own and others, so that you can have a meaningful view of them. They must be of quality and up-to-date. In other words, so that they respond to the purpose of the organization and can be contextualized at any time, the data must be governed.

Once the data responds to these characteristics, the link of analytics. Data should be used to make decisions. And for this, the analytical platform must allow data to be properly managed. Analytics can be descriptive or predictive Oñate highlights. And it has to incorporate machine learning capabilities so that the data can feed into refined models and algorithms... “

The third element in the chain is the platform o IT architecture that enables the delivery of the data. When moving data to the cloud, we free them from part of their barriers, which were the technologies in which they were stored and protected. But you have to go for more: availability must be guaranteed 7×24 and the ability to self-service (that users themselves can interrogate the data and build their models immediately, without depending on anyone to translate your requests). At the same time, mobile support and simple interfaces should be offered.”, PowerData CEO says.

Data management

The next element in this chain is very important: people, that in summary we are the ones who constitute the institutions. “In a data-driven organization, roles and profiles should be thoroughly reviewed. And you have to incorporate the right analytical skills to take advantage of the platform and so that the value that is made available is truly integrated into the reality of the company.."Says Oñate.

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In this aspect, another key aspect is organizational change: incorporar la figure del director de datos (EVERY) It's fundamental. Without a reference that guarantees the value of the data, Respond to organizational policies and values ​​and regulatory needs of the environment, and that at the same time provides valid data for data management at all organizational levels, it will be difficult to generate the culture of change necessary to extract value from the data.

continue reading: The relevance of the data director (EVERY) in an organization

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Finally, the last of the steps in the chain are the processes: Once we have the correct data, analysis capabilities, IT architecture and people with well-defined roles and profiles, the organization's processes must be adapted to allow the extraction of value from the data.”, Says the CEO of PowerData.

In summary: migrating your data to the cloud is an important first step. But it's not enough. We must complement it with all the links through which we pass, which are the ones that in conclusion will allow the chain of administration and achievement of value of the data in the cloud to be truly reliable and resistant.

Thinking of migrating your data to the cloud?

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