Already in 2019, we noticed an ever-growing thirst for knowledge of companies towards Data Analytics. Those who work in the business want immediate answers and the analysis must be increasingly advanced.
The big data continue to expand its role in daily business as critical to business decisions.
And, as for any other area, there are new developments in this sector too.
Here are the Big Data Analytics trends for 2020
Every company that wants to be successful in its business will have to take advantage of big data, there is little to do. But in what way?
Knowing how to process and interpret the data available on the net is essential to know how customers buy, their Geo location, what their habits are with respect to a product and its life cycle.
By processing big data in the best way, you can understand the next trends, flows, and market trends.
At the same time, reviewing the business strategy and planning it accordingly helps to predict the future of your business.
Let’s discover the 10 trends in big data analytics.
Also in the field of big data, we find a triumphal entry of Artificial Intelligence. This new technology will completely change the way companies do business, both as regards internal management and to improve the user experience.
AI, in the big data field, allows us to collect more and more specific data and in 2020 a large investment of companies in this sector is expected.
Both open sources and patented tools are easier to manage and use on Cloud platforms.
Reporting, optimization, and machine learning move to the clouds, also providing for the use of multi-cloud.
Thanks to the “in memory” processing it is possible to store data on RAM, so as to make access much faster than on disk.
The real-time application such as create an app like uber requires the equally rapid response data. Companies want to respond faster and faster to market changes and, moreover, the costs of this processing are decreasing.
Automation has been a process in progress for many years, however, it is reconfirmed as a trend in 2020.
Automated analytical techniques allow you to get more and more clean data that you can use instantly. This necessity derives from the fact that the rate of dirty data has always been very high in the past and it took the man a long time to clean up the analyzes and make them usable.
With Data Automation this risk is significantly reduced.
With the advent of virtual assistants and voice commands, recognizing spoken language has become a great necessity in the world of big data analytics.
Capturing the different intonations, interpreting the language, finding the right queries is a daily challenge for businesses in 2020.
Mechanics are facilitating the data interpretation process. This strategy guarantees great results in very hectic environments, but it is also useful for entrepreneurs of the future who want to get a response from the data, in turn, through voice search.
Analytics life-cycle Development
Just like every other application, the analysis tools must also follow their own life cycle that begins with the launch, support, and improvement.
This will be the task of the IT department of each company, which will be asked to study new systems for real-time data analysis.
‘ Artificial Intelligence, but also Machine Learning, allows much more quickly to learn from the data without having to program each time the devices for the specific purpose.
These tools can never replace man, but they can expand human creativity thanks to the recognition of queries and repetitive patterns to provide an increasingly immediate and reliable answer.
Internet of Things providers focuses primarily on improving their tools through data analysis.
The flows of analysis of these intelligent objects must become increasingly uniform and companies are oriented towards a choice that reflects their corporate identity.
To better understand the present world, it is also necessary to analyze data from the past.
In 2020, more than ever, predictive analyzes will be carried out to predict future economic scenarios, identify the areas in which it is necessary to invest, the critical issues, and market trends.
Without graphs that represent the data collected, the analysis capacity at the company level cannot reach its maximum realization.
Graph Analytics will be a driving aspect of 2020. These representations allow companies to tie together apparently disconnected points and accelerate the impact of their business on the market.
How to move around these big data analytics news?
But of course. Prevent trends and rely on the right partner, the one who for over 15 years has allowed himself to be preferred in the world of ICT consulting.
We are talking which follows the companies of each sector and, to each of them, provides the necessary tools and the most appropriate strategies to reach the target set.
The network offers infinite possibilities but they become void if you do not log in with the appropriate methods and timelines.
About the Author:
Zeeshan Hussain Bhatti is a blogger by passion and Digital strategist & Tech Geek by profession, having a tech background and experience in I.T development services, Zeeshan is eager towards exploring the modern-day tech landscape. With having an interest in technology, Bhatti writes about leading-edge technologies, Artificial Intelligence, Logo Designing, and much more. You can click the button above to hire me.