Trends for 2022: accessible data, invisible analytics

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shukla7789
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Trends for 2022: accessible data, invisible analytics

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From effective data management to invisible analytics to empower organizations and make better business decisions. Learn more
“What is essential is invisible to the eyes” wrote the Frenchman Antoine de Saint-Exupéry and the idea is so powerful that it even manages to define areas very far from those that appear in The Little Prince .

In fact, if we think about the entire infrastructure of an organization, both internally and externally, making the essentials “invisible to the eye” is a real challenge in the digital transformation that most companies face. How can work processes be automated in a comprehensive and imperceptible way?


Prepare your company for the future: The technological trends that are coming
Intangible allies that improve performance
As well as data-driven business culture and artificial intelligence , data stockholder database and automated processes are among the technology trends for 2022. All of these elements must be used synergistically to empower organizations and lead to better business decisions.

Synergy must therefore be as seamless as it is invisible. It is about data analytics becoming faster, more visual and accessible to everyone on any device; true data democratisation requires intelligent data management.

Why? It is not enough for users to be able to access data, but for this information to become relevant for each work team and allow them to make better decisions by achieving a 360-degree view of the business . Analytics is the technology that can make this possible, as long as it acts invisibly, without hindering workflows.



A shared data ecosystem
Data and insights must therefore be transformed into relevant experiences for those who use them, at the exact moment they need them. The goal of data analytics is to help everyone within a company become smarter.

In that sense, business leaders have much to learn from consumer-focused companies: there are multiple examples there of how analytics becomes invisible. People benefit daily – and without realizing it – from the use that organizations make of data, especially through applications.
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