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Top BigData Predictions and Analytics Trends In 2020

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Sophia Wilson
Top BigData Predictions and Analytics Trends In 2020

BigData analytics is the complex process of analyzing large and varied data sets to uncover information like hidden patterns, market trends, customer choice and unknown correlations that help business organizations to make decisions with ease.

BigData Analytics and Predictions offered by various data management consulting services are changing the industries at a rapid pace nowadays. Data analytics and prediction are proving to be immensely useful in the fields of branding and recruitment by helping the industries make easy, well-informed decisions.

Along with the previous scopes shown by data analysis technology, these are the new and exciting BigData Predictions and Trends to watch out for in 2020:

  • Automated Data Analysis: Automated data analysis has proven to be a highly favored technology by almost every industry to increase business potentials.  Unsurprisingly, it is expected that by next year, about 40 percent of all databases will get automated. It is hoped that the automation will assist the organizations with accurate analytics for making better decisions based on the predictions.
  • In – memory calculating: Reduction in the cost and complexity of in-memory computation is likely to make the process of IMC a much more popular option among industries. IMC has the potential of proving to be the solution for a varied number of problems faced by the organizations by the latest technology used behind it, also known as persistent memory tech.

Persistent memory tech is new and is a memory tier conveniently placed between the Dynamic Access Memory and Flash Memory.

With the widespread implementation of IMC made possible, industries are improving their application performance and instantaneous responses.

  • Data Analytics merged with the Internet of Things or IoT: The Internet of Things or IoT is an interconnection between several different devices, networks, technologies and human resources set to reach a common target. The data generated by IoT is valuable when analyzed in the context of finding information relevant and necessary for the industries concerned.

It is expected that by 2020, more than 20 billion IoT devices will be actively involved in the process of BigData collection, analytics, and prediction. 

  • Augmented Analytics: Augmented analytics has the capacity to automate many analytical operations as well as building models and insights that are much easier to interact with.

With its unique approach of merging the AI and ML techniques for creating, developing, sharing and consuming generated data for analysis, Augmented Analytics is expected to become the most popular technology in the field of data analytics and prediction in the upcoming years.

  • Data as a Service Tool: Data as a service, shortened to DAAS is a cloud-based technology that allows users to access digital information with the help of the internet. DAAS has high accessibility, which means globalizing it will help to mitigate the gaps between departments of a large organization by easy sharing of data.

By 2020, it is expected that more than 90 percent of the large industries and organizations are going to be generating revenue from the Data-As-a-Service Tool.

  • Development of customer-oriented devices: If the current trend shown by personal devices such as mobile phones and web use is to be trusted, it can be predicted that by 2020, at least half of the consumer interactions will be based on their past and current time mobile behavior. 

Immersive technologies like virtual reality as well as wearable products and IoT are expected to be developed on mobile phones as it is pervasively used in almost all our daily activities.

  • Development of Smart Cities: With the advent of IoT in the field of BigData management, a lot of opportunities are opening up for the development and application of data science and analytics.

One of the aspects that require data collection, metadata management solutions, processing, and dissemination is in the development of Smart Cities. It can be safely predicted that 30 percent of the smart cities will apply robotics and smart machines, especially in the medical and healthcare sectors by the year 2020.

  • Natural Language Processing and Conversational Analytics: The past few years have witnessed several challenges that hindered the development and usage of voice-based applications. The difficulties faced pertained to the lack of technology that could interpret the intonations and accents associated with a voice command. 

Fortunately enough, this user - friendly technology has been further developed over the years to an extent that by 2020, it is expected that about 50 percent of all analytical queries will either be auto-generated or with the help of voice-based commands, making it possible for everyone to analyze complex data without facing any difficulties.

Enterprise Content Management: By 2020, the tasks generally performed by human beings are likely to be taken over by technology. 95 percent of the media content including images and videos will be audited by machines rather than people and provide detailed analysis to help with the digital endeavors of the organization.

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Sophia Wilson
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