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After 2020 everyone has feelings that the world will not be the same. It was enough restless and astable year for the whole word. But at the same time, it became an acceleration of digital transformation processes. Business and people had to accustom and fit into a new reality. Less digitized companies have become more vulnerable during the pandemic compared to high-tech market players. However, it also became a motivation for such companies to run digital. They had to digitize their processes, upgrade business-models, provide access to data and advanced training for team. COVID-19 has also become a proof that the data plays a big role, and everyone can use it to inform or misinform.

Data science evolves and matures and consequently many organizations try to increase their digital stability and switch over to the data-driven model. Critical important tasks like self-driven car development, protein folding, and algorithmic trading programs have been conducted using data science methodologies and technologies. It’s just a little part of examples. Data science using is much wider, new and improved data science tools will appear in the coming years.

The main data trends and forecasts for 2021

1. Forecasts with the help of data analytics

One of the main 2021 trends will become real-time analytics. According to forecasts, the number of connected to Internet of Things devices will reach 24,1B by 2030. Organizations collect much more data than previously and try to transform it into analytic information that can help to solve business tasks. Real-time analytics transforming data into insights gives a possibility to respond to situation instantaneously.

2. Databases

For the last 40 years companies have histed their databases locally. However, in 2021 and the coming years there will be a trend of databases deploying or migration to the cloud. According to forecasts, cloud databases will grow up to 75% by 2022. It is a reason of different requirements appearing that most likely will come with developing on cloud-native databases, more closely incorporating analytical and machine learning capabilities.

3. Knowledge graph

As the amount of data still grows rapidly, it becomes increasingly difficult to analyze it. Knowledge graph can help in this by closing the gap between human and machine. In the minds of Gartner, it is one of the main data trends.

Knowledge graph has a form of a facts set (description of objects, conceptions and events) connected by typed links. It becomes possible to create a better context for data through linking and semantic metadata. It promotes easy analysis, integration, sharing and data aggregation.

4. Augmented analytics

We generate about 2500 petabytes of data every day and in 5 years this number will grow to 463 exabytes. Data increasing created serious problems in its processing. Augmented analytics can help to solve them. Using ML and AI methods big data transforms into massively smaller and analyzable one. According to the Gartner research augmented analytics will become a driver of BI in 2021.

5. Data Visualization

Data visualization became a perfect assistant in 2020 that helped to understand current situation easier. Creating, critical understanding and evaluation of data visualization will become a fundamental skill for everyone.