Outsourcing and Business Process Service

Outsourcing of IT Professionals and Work Processes

The constant growth of the Digital and Technological market, as well as the change in the role played until now by the IT area, requires increasingly complex and qualified professional profiles. The focus is on delivering value to the business.

The focus is on delivering value to the business. This new position of the IT area within organizations requires the development of new skills, such as agility, specialization, knowledge management, inspiration, motivation, empathy, collaboration, empowerment of people and teams, autonomy and many other “new” skills. We are a company oriented to innovation, joint discovery with our customers, because we believe we can collaborate for a better future and life. We believe in getting work done when it's done with pleasure.

We are adaptable, work oriented, passionate about people and our focus is on delivering solutions.

Our experience and strategic vision allowed us throughout our journey to help our clients in their demands for identifying talent for the IT areas. Our offerings are based on commitment, cultural connection, supported by our internal programs.

We work with the Outsourcing processes of the IT areas, meeting the needs of Allocation of Technical Resources, Dedicated Teams or Multidisciplinary Teams, connected to the business and the purpose that provide continuous delivery, efficiency, effectiveness and agile mindset.

Customers who trust our solutions

Embrapa, Gerdau, Proderj, Caixa, TRF, Samsung, Ministério da Cidadania, TCE-PA, TCE-GO, TRT4

Machine Learning

Caixa Econômica Federal

Data Science

Caixa, Gerdau, Proderj, Samsung, Embrapa

Predictive Analysis

Analytics

Cases

Gerdau

Using the power of SAP HANA, integrating real-time views with PowerBI allows users to access information at all levels.

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Embrapa

Corporate intelligence (BI) using SAP Analytics tools, integrating data and generating information through interactive dashboards and intelligent reports.

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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