The textile industry generates and creates several data sources. All these data are in various forms, such as words, images, etc. The era of "fast fashion" is making data grow and changing rapidly. Therefore, these data could be called "fashion Big Data". The textile industry needs to analyze every last detail of market trends and demand. That is why companies in the sector must not only work with designers or sewers, but also need analysis experts.
Dear Ramon Ruiz,
In my opinion, the technology of processing large data sets in Big Data database systems has a similar impact on the textile industry as well as on every other branch, a freak industry sector. The difference is rather in how and to what extent individual companies use data processing technology in Big Data database systems for their own needs. I describe the essence of the Big Data problem in the following comments.
Best wishes
The development of analytics and information processing in large data sets for the needs of scientific works?
In my opinion, because not all people conducting research use advanced information processing instruments such as data processing in the cloud, analysis of information collected from the Internet using sentiment analysis in Big Data database systems, analysis of large data sets using probabilitic, stochastic analytical models and other advanced statistics in computerized platforms such as Business Intelligence.
Currently, techniques for analyzing large data sets in Big Data database systems are developing rapidly. The costs of these analytical processes and necessary IT tools are gradually falling and can now be available to any entity with relatively low financial resources.
What kind of enterprises are dedicated Big Data database systems? In my opinion, technological companies that produce Big Data database systems do not offer this type of systems dedicated to small or even SME type enterprises because the amount of data processed would be too small in relation to the computing power of these systems. Of course, technically, it would not be a problem, but it would be uneconomical, because such Big Data database systems are expensive. Too expensive for SME sector companies. However, there are technology companies equipped with Big Data database systems, collecting data collected from the Internet, from social networks, selected websites, carry out multi-criteria data processing, analyze the sentiment of collected data according to customers' needs, according to inquiries from other companies interested in such services informative. such technology companies can offer the aforementioned information services for each type of company, as long as the company can afford to pay the bill for this type of information service.
Analysis and categorization of consumer behavior of users of social media portals
The purpose of grouping behavior of users of social media portals into specific classes of behavior should first define these defined classes. Sentiment analysis using large data sets collected from entries and comments from social media portals and transferred to Big Data database platforms may be helpful. Then, watching changes in certain types of behaviors of users of social media portals, you can analyze data collected in Big Data according to these observation results. In addition, a useful tool can be an analysis of the behavior of users of social media portals based on up-to-date posts, posts and comments on specific social media sites, statistical analysis of comments on specific topics of posts. This type of research is carried out by online technology companies that run social media portals and use the results of this research to develop their viral marketing services, because this area of ??marketing is a key determinant of revenue generated by these companies on the sale of advertising on social media portals.
I invite you to the discussion
The Big Data database technology is finding new applications in business.
Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria.
The report development time depends mainly on the computing power of Big Data servers.
In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type.
Perhaps in the future, artificial intelligence will also be involved in this field of analytics.
In some countries, IT companies have been operating for several years, which develop Big Data database technology for commercial and business purposes.
Some technology companies produce Business Intelligence platforms for business entities.
Research centers of the largest technology companies on the Internet develop technologies of artificial intelligence.
It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.
What will be the directions of development of analytical processes of sentiment analyzes on data collected in Big Data database systems in the future?
In order to analyze the sentiment on downloaded data from social media portals (such as Facebook, Tweeter, LinkedIn, but also YouTube, Instagram ...) and aggregated in Big Data database systems, it is necessary to use specialized software for extraction and analysis of these data.
The quality of the data transferred to, for example, excel sheets depends on the quality of the extraction process carried out with the help of specialized software.
Then, the quality of data analysis software in Excel sheets or in systems of computerized analytical platforms depends on the result obtained, the answer to the question given to the collected, initially unstructured data in the Big Data database system.
In the future, artificial intelligence may be used for this purpose, and the whole process of purposeful analysis of collected data will proceed in a much more effective, automated manner, less probable errors, will be a cheaper research process and will be carried out much faster even on much larger information collection than current.
The current technological revolution known as Industry 4.0 is motivated by the development of the following factors:
- Big Data database technologies,
- cloud computing,
- machine learning,
- Internet of Things,
- artificial intelligence.
On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large collections of information collected in Big Data database systems dynamically develop.
Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting.
Probably in the future, the business analyst will be supported by artificial intelligence.
It would be a great advance in the field of automation and objectification of multi-criteria economic analyzes of business entities.
Complex, multi-criteria analyzes regarding the verification of large companies' operations require aggregation and analytical processing of large data sets in Big Data database systems.
However, in what direction will technological progress be realized in this field?
In the future, as part of the progressing computerization of analytical processes, it will be possible to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems.
In which sectors of the economy, in which types of companies and corporations will the most dynamic technologies develop the analysis of large information collections in Big Data database systems supported by artificial intelligence?
The Big Data database technology is finding more and more applications in business.
Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria.
The report development time depends mainly on the computing power of Big Data servers.
In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type.
Perhaps in the future, artificial intelligence will also be involved in this field of analytics.
In some countries, IT companies have been operating for several years, developing the Big Data database technology for commercial and business purposes.
It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
https://www.researchgate.net/publication/323244120_The_Big_Data_technologies_as_an_important_factor_of_electronic_data_processing_and_the_development_of_computerized_analytical_platforms_Business_Intelligence
https://www.researchgate.net/publication/327035102_The_Technological_Solutions_Big_Data_and_the_Importance_of_Business_Analysis_According_to_the_Business_Intelligence_Formula
I invite you to discussion and cooperation. Greetings
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