Top Data Analytics & Technology Trends For 2020

Experts have coined the present 21st century as the age of analytics. Analytics technologies like Augmented Analytics, Continuous Intelligence and Explainable Artificial Intelligence (AI) ar among the rapidly advancing analytics technologies at the present time.

As per the view of the experts, the ongoing digital disruption has presented the enterprises with an unprecedented opportunity. The enormously growing Big Data along with powerful processing capabilities enabled by the cloud has now made it possible to unleash the full potential of AI.

Now, let’s give you a clear idea about the top trends in analytics technologies.

  • Augmented Analytics

Augmented analytics is being considered as the next big industry revolution in the field of data and analytics. By making use of advanced AI & ML models, it determines & transforms how analytics content is developed, consumed and shared.

Experts are of the opinion that by 2020, augmented analytics will become a dominant force that will rule the analytics and BI industry. This is the right time for the Data and analytics leaders to leverage real-world skills in augmented analytics so as to prepare their career for the future.

  • Augmented Data Management

Augmented data management is now playing a crucial role in the process of converting metadata from being used for audit, lineage and reporting only, to powering dynamic systems. It is slowly transforming into a primary driver for all AI/ML.

Augmented data management makes use of Machine Learning & AI engines to make enterprise information management categories become self-configuring and self-tuning. It also helps in automating most of the manual tasks.

Top Data Analytics & Technology Trends For 2020


  • Continuous Intelligence

Continuous intelligence is on its way towards becoming a major part of the business development process by working on real-time context data to improve decisions.

With Continuous Intelligence, businesses can now integrate real-time analytics within a business operation, successfully interpret with the present and past data to prescribe actions in response to events. It enhances the overall decision-making process with real-time analytics.

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