Data integration, a central theme of digital transformation

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Digital transformation in companies has accelerated greatly in recent years, thanks to a greater awareness of the importance of using and integrating data. Why is the link between these two factors so important? Find out the answers in this article.

Digital transformation: technology, people and data
Digital transformation has become an obligation for all organizations, regardless of their size or the sector to which they belong.

The pandemic prompted companies to embark on a path towards digitalization, although today the challenge continues to be to resolve the fragmentation and complexity of three key factors : technology, people and data.

Technology: In terms of technology, organizations afghanistan phone number lead must overcome technical issues that allow them to reduce general costs linked to operations and management. They must also prepare their employees to make appropriate and intelligent use of the technological solutions implemented through digital acceleration and transformation .
Data : Reality and success stories demonstrate that optimized data—that is, efficiently integrated and controlled in an intelligent technological architecture—is more likely to lead to significant business improvements.
People: When data and analytics functions are centralized through integration, people can put information to work, increasing business value through improved efficiency, productivity, and, most importantly, team collaboration.
Digital transformation requires companies to prepare a new scenario centered on a data-driven culture , where intelligent decisions based on data have become the basis of all business operations.

Those who achieve this 360-degree view of the business extract greater value from data, convert it into intelligent knowledge, and can solve problems of fragmentation between data, people, and technology.

Digitalization and data integration: why one cannot exist without the other
Today it has become impossible to drive digital transformation without taking into account data integration .

Organizations are experiencing a context of technological acceleration and data generation that they have never faced before.

In this way, companies produce more and more information that needs to be processed, stored and analyzed, since they understand that its value for the business has become essential.

In response to this, analytics technology, smart digital solutions, Big Data and AI are essential assets for data management and integration, as well as for its democratisation.

In times when data is still disintegrated from a company's teams and collaborators, the democratization of information becomes central for each area to take ownership of the data and make decisions based on it.



In conclusion, companies need to adapt and modernize their data infrastructures to be able to support them.

Maximizing data types and analytical methods creates complexity when integrating them into hybrid cloud environments, which is a challenge for digital modernization.

In this sense, technological solutions that promote data integration and its democratization are of great help to any type of organization that has begun its digital transformation .