* By Clayton Montarroyos
In the projects of Indústria 4.0, systems and equipment of advanced manufacture, robotics and Internet of things are highlighted. It is worth pointing out that data analysis is one of the pillars of this industrial revolution, along with technological innovations in the production lines, to help in the decisions taken along the digital transformation process, which continues at an impressive pace.
According to the study “Digital Manufacturing - escaping pilot purgatory”, from Mckinsey, two thirds of industrial companies worldwide cite digitizing the production value chain as one of their top priorities, through flexible automation, connectivity and intelligence, which represents the use of advanced analytics and artificial intelligence to a data matrix to generate new insights and enable better decision making. Examples include predictive maintenance, digital quality management and demand forecasting driven by artificial intelligence (AI).
This same study points out that 90% of the 300 specialists interviewed from North American, German and Japanese companies believe that Industry 4.0 will improve their competitiveness and operational efficiency, with industrial data platforms constituting a fundamental facilitator of the 4th industrial revolution.
The tools business intelligence (BI) transform the data provided by the machines and devices into reliable indicators for assertive management of the production line, maintenance activities, stock availability and gives real-time visibility to the functioning of the manufacturing processes, among other purposes.
Inventory management is paramount, for example, because when it is not well managed, inventory can reduce profitability and impact business. With better visibility, manufacturers can put aside the assumption of what the company has in stock. Thus, it is essential to have software that will provide the dashboards and details for decision making.
Operational insights empower managers. The analyzes will help to design and develop the most attractive products and services possible for B2B or B2C customers, rationalizing the cost, facilitating the assessment of goals and ensuring the profitability of the life cycle.
Modern BI systems will support innovation and design with engineering insights, customer satisfaction, component reliability, quality assessment and prototyping analysis. Thus, industries are emerging data driven.
The BI software segment for industry is one of the main software categories in terms of market size. Modern tools provide data indexing technology have the unique ability to combine data extracted from different systems (for example, finance, operations and sales) to simplify and speed up the sales and operations process. BI recognizes the need to synchronize the efforts of decision makers at all levels - strategic, tactical and operational - to achieve business goals and objectives together.
An important concept and practice that has emerged in recent years is that of DataOps, whose objective is to streamline data delivery, ensuring quality and accuracy of information, as the raw data, whether in a Data Lake or a Data Warehouse, are refined.
Data-based technologies and their applications are producing and processing data at an unimaginable pace and an industry focused on the future must recognize that Industry 4.0 and Business Intelligence technologies are inseparable.
* Clayton Montarroyos, CEO of In - Business Intelligence
Notice: The opinion presented in this article is the responsibility of its author and not of ABES - Brazilian Association of Software Companies
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