Smart Business
Analytics, Deep Learning, Artificial Intelligence e Data Science
Technology provides solutions that make everyday life easier in different sectors. And if you can bring information, with projections of what could happen to a company, based on historical data? And if you can segment a certain customer niche for a better approach?
Enable customer and competitor behavior analysis, analyze team performance, make more assertive decisions and create future strategies based on projections.
Our Core Business in Smart Business is proven by clients such as Gerdau, Embrapa, Caixa, Proderj, TRF, Samsung and other companies from the most diverse fields and who seek to extract information from the data in its most diverse forms, to contribute to decision-making each time more assertive and more agile. social media analysis
Scenario mapping, joining technology and information to obtain more reliable and consistent results.
Customers who trust our solutions
Analytics
Embrapa, Gerdau, Proderj, Caixa, TRF, Samsung, Ministério da Cidadania, TCE-PA, TCE-GO, TRT4.
Machine Learning
Caixa Econômica Federal.
Predictive Analysis
Caixa Econômica Federal.
Data Science
Caixa, Gerdau, Proderj, Samsung, Embrapa.
Technology
Data Science
“I have a lot of data, but what do I do with it all?” To be able to deal with this doubt effectively, it is necessary to use several technologies that are capable of cleaning, treating and enabling the analysis (with a simplified visualization) of this immensity of data. And having access to these analyzes to assist in decision-making is the objective of managers. And to help with this point, several technologies have a science in common: Data Science. It involves several areas such as mathematics, statistics and computing. Data Science enables a strategic vision, mapping and understanding business models, identifying problems through information analysis, increasing interaction with customers, among other countless ways to use data through this type of study.
Deep Learning
One of the most advanced methods of Machine Learning is highly scalable, making its performance even better with a larger amount of data. Deep Learning trains computers to perform tasks like human beings by setting basic parameters on the data and provides self-learning training through pattern recognition. Speech recognition, neural language processing (for text mining, for example), image recognition, semantic segmentation, customer prospecting and recommendation systems, fraud detection are some examples of Deep Learning application areas.
Machine Learning
Analyzing a set of information from different social media, thus gaining insights and a better understanding of the needs of your target audience, offering recommendations that vary according to the user, fraud detection, are some of the examples that show the importance of use from Machine Learning, which is a data analysis method to automate the construction of models, enabling machines to learn from the data, create/identify patterns and perform tasks without human interference. The basis of ML are the algorithms (defined sequences and composed of instructions to be followed by the computer), which can use AWS Sagemaker, SAP Data Services, Pentaho Data Integration.
Predictive Analysis
Learning from past behaviors to enable prediction of future behaviors. This type of technology can be used in any type of business, enabling the analysis of different data that can be measured in a predictive model, enabling a better understanding of the behavior of the situation to be analyzed. Recognize unknown patterns, find associations and predict trends in order to aid decision making.
Analytics
Solutions that allow for more speed in taking quality decisions, enhancing the efficiency of operations and optimizing processes, ease of viewing analysis and reports with the use of the SAP BusinessObjects Suite, which also includes a robust solution for data processing , the possibility of using SAP Lumira for data visualization and analysis with BI Self-Service, allowing for implementation on site and in the cloud. When it comes to Self-Service, Tableau is one of the market leaders, enabling managers and team leaders to explore data to obtain information for the benefit of their departments through tools such as Tableau Desktop.
Partners we trust
