It is clear that the cloud has become the mainstream plateau of productivity, after navigating across the hype cycle of leading consulting agencies. The potential of cloud analytics is driving technology leaders to invest and reap benefits in the digital transformation space. Underlying limitations of the existing core data infrastructure is common in enterprises, particularly those that have grown through acquisitions. This has further led to a fragmentation in technology, teams, and cultures.

The rise of cloud computing has resolved the concerns associated with the data infrastructure scalability, as it provides for the data analytics SaaS. The future of data analytics is in the cloud and the data fiefdoms and cottage industries are gradually on their way toward disintegration. The ability of organizations to seamlessly embrace the cloud transformation implies their ability to include or introduce new capabilities.

Moving Data Analytics to the Cloud

The cloud model is already tailor-made for data analytics. The benefits of faster time-to-value and digital transformation are often reaped with cloud-native applications. Traditionally organizations used to build their infrastructures to accommodate heavy demands. Then there were times where the infrequent running of huge analytic workloads was faced and having elastic computing resources that help manage costs better was essential.

Many service providers are offering cloud analytics to enterprises, injecting an agent or script into the code that sends the information to the server for data analysis. The importance of data analytics is well-proven, as it enables marketing departments to attract more users, improve websites, target audiences, and create personalized, meaningful content. Also, data analytics facilitates businesses in making informed & actionable decisions, understand demand & supply dynamics, and predict buyer behavior. 

Cloud analytics has gained rapid popularity and acceptance among enterprises worldwide. The primary driver here is the ease of use, scalability, and growing security of the cloud. This has encouraged organizations to comfortably share the business data with the help of CSPs, which was an integrity concern in the past.

Is Cloud the Inevitable Future of Data Analytics?

Companies have already begun combining data analytics and machine learning in the cloud to offset the obstacles faced while improving data quality. So, yes. Maybe, the cloud is the inevitable future of data analytics, but not in the near future. Industries and businesses are being disrupted by more agile yet resource-effective competition and how they respond to changing dynamics depends on the exploitation and management of the data. 

The culture circling the data requires change and organizations must understand that poor data quality leads to an undermined focus or investment in the data analytics’ future. There is a belief among organizations that the prospects of the data analytics space involve greater challenges to address. This could result in the manifestation of artificial intelligence assistants and more convincing chatbots and so on.

Organizations that focus on becoming data-enabled are directing their focus toward evaluating their operating models and capabilities in line with the growth of cloud analytics. This is to ensure successful processing and exploitation of data faster with the help of an ecosystem of skilled professionals.

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