Digitization is now a necessity for the competitiveness of operators in the long term. In the years to come, the oil industry will be redefined by those who take advantage of this digital revolution to evolve.

 

Among the challenges facing the oil and gas industry today, big data is a source of optimism. Indeed, there are many challenges for the oil and gas industry, caught between rising production costs and fluctuating prices. In this context, and in the face of shrinking margins, it is advisable to revisit the existing models, relying more and more on the power of big data. In other words, the challenges facing the sector today are an opportunity for operations to rethink the way they work.

 

Faced with the challenges facing the oil and gas industry today, Big Data now presents itself as an opportunity to be seized. Businesses must meet an exponential demand for energy from around the world. At the same time, the industrial ecosystem is always more difficult. Production costs are on the rise, and the only way to increase margins is to surrender to the power of Big Data. 

 

From oil tank to refinery, analytical technologies help optimize operations by reducing operational costs and increasing productivity.

 

Recognizing the value of data allows to gain in effectiveness, vision and competitiveness, since by implementing new platforms and applications of Industry 4.0, such as Big Data, a comprehensive analysis of business processes can be carried out, anticipating failures and identifying improvements in each of the operations. 

 

There is no doubt that data is a valuable asset for each company, allowing the integration, automation and optimization of processes, using data analysis technologies that are being promoted in all industries.  

 

The amount of data that a company acquires is increasing, so it is essential to take measures against its proper management and analysis, which can guarantee economic and operational benefits. 

 

In addition, Big Data and the development of task automation tools allow to act quickly and efficiently. Therefore, there is a need to select relevant and consistent data as a crucial aspect to determine the growth opportunities and threats that the company may present, to agilely face business challenges with quality data.

 

• Generation of data reports so that companies can anticipate the future, facing decision-making at different levels and in various organizational areas, based on reliable data.

 

• Avoid incomplete, imprecise or fragmented, duplicate or inconsistent data, achieving the acquisition of quality data. 

 

• Analysis of variables and records of detected anomalies.  

 

• Generation of alerts against possible failures in the processes.

 

• Expansion of the vision of business processes, with the possibility of improvements in the quality of products and services.

 

• Optimization and efficiency of processes in real time.

 

• Improvements in the customer experience.

 

At Alibaba Software Solutions, we recognize that data has value only when it is understandable, otherwise it is nothing more than random observations. For this reason, we can assist you to incorporate technologies such as the Internet of Things (IoT), Big Data, Machine learning and Dashboard, to acquire data, store it and visualize it in real time, which influence well actionable decision making informed.

 

We carry out data analytics of business processes, in order to use them as knowledge to improve operations within any business ecosystem.

 

We understand that the objective of the data should be to support and promote business strategies, through the analysis of large volumes of data, selecting quality data that facilitate critical decision-making in the face of consolidated initiatives and processes in each business.

 

Alibaba Software Solutions provides companies with strategies tailored to their needs that add value to their data, providing a logical structure for analysis that has a positive impact on business success.