Investment in Big Data grows in the corporate world
A survey indicates that 97% of organizations are investing in the use of Big Data; a software development expert comments on the scenario.
Big Data is a term used to describe structured and unstructured data that is so large that it cannot be processed using traditional processing methods. The use of this data treatment strategy may involve high-performance computing algorithms to work with this data and extract useful information. This information can help companies make assertive decisions about the product or service they are offering.
According to the “Data and AI Leadership executive survey”, conducted in 2022 by New Vantage Partners, 97% of respondent organizations are investing in the strategic use of data, through solutions and platforms. Of this total, 91.7% said that their investments in data technology are increasing.
For Matheus Lúcio Carvalho da Costa, a specialist with more than 10 years of experience in software development, this scenario demonstrates the growth of interest on the part of organizations to carry out efficient data treatment. “Companies are progressively directing investment focused on Big Data solutions in their main sectors, with the objective of obtaining measurable analyses and results,” he says.
According to the “Survey on the Use of Information and Communication Technologies in Brazilian Companies”, published in 2022 by TIC companies, which analyzed the determinants of Big Data usage in Brazilian companies, Big Data analysis has been considered central to the digital economy, as much of the organization’s performance will come from the ability to create relevant information based on data to make more qualified decisions. To foster more about this scenario, Matheus Lúcio answers some questions and comments on the effectiveness of Big Data.
Considering the information presented, how do you evaluate the importance that Big Data is acquiring in organizations?
Matheus Lúcio: The use of Big Data in the corporate environment is viewed increasingly positively, since companies are realizing that data can be a valuable source of insights for the business. The analysis of large data sets can help companies make more informed decisions and identify possible growth opportunities, reducing risks and enabling increased efficiency. Additionally, Big Data can help companies become more agile and adaptable to changes in the market, making them more competitive.
How can Big Data be used in business decision making?
Matheus Lúcio: It can be applied strategically in various areas within an organization, especially with regard to business decision making, such as: analysis of sales data to identify market trends and insights on consumer behavior; analysis of production data to identify bottlenecks and inefficiencies in the production process; analysis of financial data to identify investment opportunities and cost reductions; analysis of marketing data to understand the performance of advertising campaigns and identify growth opportunities; and analysis of logistics data to optimize delivery routes and reduce transportation costs.
What are the best tools and strategies that can be used for implementing a Big Data-based decision-making process?
Matheus Lúcio: I believe that the resources and strategies that can be used for the use of Big Data in business decision making include: data analysis platforms, such as Hadoop, Spark, and Apache Flink; data visualization tools, such as Tableau, Power BI, and QlikView; Machine Learning and Artificial Intelligence algorithms, for predictive analysis and pattern identification in large data sets; and data-driven business models, such as Data as a Service (DaaS), to monetize data collected by companies.
Besides using Big Data resources, what else should organizations observe when implementing this decision-making strategy?
Matheus Lúcio: It is important to remember that the use of Big Data must be done in an ethical and responsible manner, ensuring the privacy and security of customer and employee data. In addition, it is necessary to keep in mind that data analysis is only a part of the process of making business decisions, and that it is necessary to combine data analysis with the experience and knowledge of managers and business experts to obtain consistent and reliable results.
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