Data integration can save your business in times of crisis
Posted: Wed Jan 22, 2025 5:21 am
Data integration enables access to key information and knowledge for decision-making, especially in times of crisis.
Today, more and more organizations are striving to rapidly implement analytical capabilities. They are seeking to access key information and knowledge for decision-making, particularly in the face of the daily challenges posed by the crisis caused by the Covid-19 pandemic. But they are also looking to prepare for the future.
Cloud Data Integration: How to Address Integration Challenges in the Cloud Era?
Analytics supports many pressing tasks facing companies today . But organizations have also understood that data -driven business intelligence starts with properly integrating data . Why? The office 365 database to find patterns, identify emerging trends, or extract insights that aren’t obvious from the surface requires reliable, up-to-date, and integrated data.
A survey conducted before the pandemic had already found that data integration issues were a major barrier to digital progress. Among the main challenges and issues , 47 % of respondents had pointed to “increasingly disparate data sources”, 44% had expressed concern about integrating cloud data with on-premise data , and 36% had highlighted data inconsistency and ambiguity.
Consolidation and fast access
Given this scenario, more and more organizations have been adopting Cloud Computing technology to integrate and manage their data . And to the extent that this path allows for the consolidation and acceleration of access to data, it is helping them navigate the uncertain times we are living through with better prospects .
By consolidating data, the data preparation process can be automated, allowing leaders to gain insights faster and more easily. The adoption of cloud computing environments is a phenomenon that is multiplying in the face of the challenges posed by the pandemic and changes in user and consumer expectations and behaviors. Today, many more organizations are rapidly moving their data and analytics infrastructure to the cloud in order to accelerate time to value, reduce costs, improve efficiency, and provide reliable insights for business decision-making.
Today, more and more organizations are striving to rapidly implement analytical capabilities. They are seeking to access key information and knowledge for decision-making, particularly in the face of the daily challenges posed by the crisis caused by the Covid-19 pandemic. But they are also looking to prepare for the future.
Cloud Data Integration: How to Address Integration Challenges in the Cloud Era?
Analytics supports many pressing tasks facing companies today . But organizations have also understood that data -driven business intelligence starts with properly integrating data . Why? The office 365 database to find patterns, identify emerging trends, or extract insights that aren’t obvious from the surface requires reliable, up-to-date, and integrated data.
A survey conducted before the pandemic had already found that data integration issues were a major barrier to digital progress. Among the main challenges and issues , 47 % of respondents had pointed to “increasingly disparate data sources”, 44% had expressed concern about integrating cloud data with on-premise data , and 36% had highlighted data inconsistency and ambiguity.
Consolidation and fast access
Given this scenario, more and more organizations have been adopting Cloud Computing technology to integrate and manage their data . And to the extent that this path allows for the consolidation and acceleration of access to data, it is helping them navigate the uncertain times we are living through with better prospects .
By consolidating data, the data preparation process can be automated, allowing leaders to gain insights faster and more easily. The adoption of cloud computing environments is a phenomenon that is multiplying in the face of the challenges posed by the pandemic and changes in user and consumer expectations and behaviors. Today, many more organizations are rapidly moving their data and analytics infrastructure to the cloud in order to accelerate time to value, reduce costs, improve efficiency, and provide reliable insights for business decision-making.