Big Data Trends in 2020
Big Data Analytics has significantly changed the face of business intelligence in the last decade.
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Updated November 2026. This was first published on 15 May 2020. The idea is the same. Any number below is what the original piece said then. It is not a new count.
Key takeaways
- Big Data Analytics has significantly changed the face of business intelligence in the last decade.
- The big companies have been spending a fortune on technologies to use the enormous amount of data that consumers leave behind every second.
- Big data analytics has already made a big-shift in business, the field is continuously evolving, and innovations are marked every other day.
Big Data Analytics has significantly changed the face of business intelligence in the last decade. The big companies have been spending a fortune on technologies to use the enormous amount of data that consumers leave behind every second. Big data analytics has already made a big-shift in business, the field is continuously evolving, and innovations are marked every other day. Let’s have a look at what it holds for the year 2020.
The increasing data is a big problem; we now have voice data, sensor data, mobile data, etc. All these data are getting bigger; it almost doubles every six months. The data can be unstructured and needs to be stored. The cloud-based technologies are already popular and is expected to rise by 60% in the coming years.
Many of the more prominent companies are already using IoT technology to perform their daily operations using data analysis. In the year 2020, the IoT devices will be installed on many devices to collect data for analysis. It would not only provide relevant data but would also offer transparency.
The Artificial Intelligence (AI) and Machine Learning (ML) algorithms would take the lead in data-driven companies to automate the ease of the data governance process. The algorithms would be used to automate the processes of data engineering, data analysis and data sorting.
It is expected that 90% of the larger companies will generate some revenue from the Data-as-a-service (DaaS) in 2020. DaaS is a cloud-based technology that allows sharing and accessing large files in real-time using the internet. It will improve the productivity within an company considering its reliability and sharing speed. Augmented Analytics has already shown steady growth. It combines AI and MI technologies to automate many analytical processes and build models, making it easier to use.
Data security and privacy protection would be a significant concern for various industries. The use of backups and snapshots to ensure data safety and reliability will increase manifolds. Though most of the data is private and confidential, the use of back-up systems will increase.
A combination of all these technologies will undoubtedly develop more intelligent and smarter systems that will be customer-oriented.
Words this piece uses #
The draft already used these words. The lines below only say what they mean. They are not new findings.
Machine learning is software that gets better at a task by finding patterns in examples, instead of only following rules a person wrote.
In this kind of writing, artificial intelligence means software that does a task people used to judge by hand. The useful question is which task, and what happens when it is wrong.
What the original did not show #
The draft did not include a later count, a new quote, or a promise about today. Read the claims above as a record of the day it was written.
Questions and answers #
What is the main point? #
Big Data Analytics has significantly changed the face of business intelligence in the last decade.
What else did the original piece say? #
The big companies have been spending a fortune on technologies to use the enormous amount of data that consumers leave behind every second.