Big Data, visual analytics, small data, and analysis of data have become fundamental tools in our daily lives. Over the last year, the profile of experts who have a Professional Master’s Degree in Visual Analytics and Big Data has positioned themselves as an important key in several companies with the aim of generating a positive impact.
Complementing the above, Big Data and Analytics are a fundamental key in the economy and society, and for this reason, it is constantly updated. Remembering the words of Clive Humby ‘’Data is the new oil” is a starting point to argue the importance of capture, storage, and processing to achieve the analytical advantage which means companies focused on the value of data will obtain the recognition of Data-Driven Company.
That said, it does open the space for what will be some of the most well-known trends in Big Data and analytics during the second half of 2022 and beyond.
Business growth strategy
One of the trends of Big Data is augmented analytics, which uses artificial intelligence and automatic learning to improve analysis by finding a new method of developing and sharing the information found. This tool expects to democratize data science.
Artificial intelligence for taking business decisions strategies will see the rise of digital technologies, lower-cost data storage, high-performance hardware, and embedded software used by different companies to create new business models, interact with the client, and even interaction between the people of the same organization.
Also, data as a service will take place to give users access to information on demand regardless of where it may be through the cloud system. This supplies faster memory which can support heavy workloads to supply advanced analytics in enterprises.
To close this first item, it is necessary to highlight the Data Lakehouse: it is a Datawarehouse that has a Data Lake as data storage. Data architecture is coming together in platforms that can extract the best of both worlds, favoring synergies between Business Intelligence and Big Data.
It is a new paradigm that radically simplifies enterprise data infrastructure and accelerates innovation in an era where machine learning is poised to revolutionize every industry.
Big Data and climate change
In this field, it is believed that the use of Big Data will be helpful to complementize the studies of investigators about the current state of carbon dioxide emissions, data meteorological research, earth and ocean sciences, and even nuclear research facilities to understand climate change and other environmental conditions related to the planet and figure out the necessary actions to take.
Metaverse and data
The bet of Meta, previously known as Facebook, is the creation of a metaverse as a digital space for human interaction, creating a new world of opportunities for analytics as geolocated information in metaverses and behavior that will be checked through Big Data and presented in visual analytics due to its potential, it could be the greatest source of data.
One of the biggest challenges organizations and people have been to migrate information from multiple sources to the catalog. The trend is aimed at following the automation of their route, from their origin to the Data Like.
Furthermore, it will be useful if the use of connected data platforms such as cloud computing is implemented to enable interconnection that adds greater value to the customer experience, and not in isolation.
The emergence of external data sources
Companies are increasingly using statistics from outside their business to improve their data models and analytics capabilities. It is expected that during this year the use of external material will increase via an existing Open Data offering, and private and anonymous data platforms.
Likewise, it is necessary to emphasize the implementation of legislation and protection, in terms of data analysis and artificial intelligence with the aim of seeking a balance between fundamental rights and technological innovation.
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