Big Data Analytics Trends in 2019

4 Big Data Analytics Trends in 2019

08 Apr, 2019 Posted By : Admin Share :
Big Data Analytics Trends in 2019

With massive technological advancements in the 21st century, data is growing at a rapid pace and taking digital innovation to new heights. It is asserted that the global enterprise sector will produce humongous amount of information as the accumulated volume of big data is expected to increase from 4.4 zettabytes to almost 44 zettabytes (44 trillion gigabytes) by year 2020. This has added to the growth of big data solutions as it emerges to be a ground breaking technology in this information age. 

According to data scientists, the massive amount of produced data is encompassing data gathering, data analysis and data implementation procedures. This has added to the popularity of big data services as it helps enterprises to gain valuable insights from a pool of data, while providing them with opportunities to grow and prosper. It is claimed that big data analytics trends are experiencing a significant change, with enterprises increasing their focus on advanced analytics.

Some big data trends to look forward to in the year 2019 include:     

  1. Predictive Analytics

Predictive analytics refers to as the practice of extracting information from available datasets in order to identify patterns and predict future outcomes and trends. It helps in attaining insights that lead enterprises to generate new customer responses, purchases, and promote of cross-selling opportunities. Technical experts claim that predictive analysis will aid integration of technology into various sectors including healthcare, finance, manufacturing, etc. 

  1. IoT Network will Grow

According to experts, IoT will emerge as a significant trend in 2019. It is claimed that IoT will generate more than $300 billion on an annual basis by 2020. According to a research, the global IoT market is predicted to grow with Compound Annual Growth Rate (CAGR) of 28.5% in the same year.   

  1. Dark Data Migration

Dark data refers to the information (acquired via various computer networks) that is yet to be transformed into a digital format for the purpose of analysis. According to technical experts, these analog data sets are expected to be digitized in 2019 and will be migrated to the cloud platforms.  

  1. Quantum Computing

Quantum computing is a Holy-Grail technology that is efficient to analyze and interpret massive amount of data in few minutes. Though it is still a developing technology, giant tech companies are carrying out experiments and tests for integrating the respective in various business operations. It is predicted that the coming years will be crucial in terms of the development of this technology.       

Experts believe that since big data is a becoming an essential part of business strategy executions, Chief Data Officers (CDO’s) will take up crucial roles in enterprises. It is also claimed that big data trends in the year 2019 will be most beneficial for start-ups and small organizations.

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