Our core business is divided in 3 sections : Software Engineering, Business Intelligence and Big Data / Data Science. In order to guarantee a technological watch and develop our expertise through these 3 pillars, we have set up 3 clusters corresponding to them.
The purpose of these clusters is to gather the consultants around specific themes, through the organization of workshops, courses, demos and internal projects aimed to increase their expertise.
This acquired and shared expertise helps employees to better understand the similar issues that can be present at our various customers.
Our consultants are also : Developers, Analysts, Testers, Project Leaders, Architects, Trainers, Advisors.
It is sometimes difficult to present data in a simple way and to show them to people who are not specialized in that field. Fortunately, there are tools available that can help you show your data in a simple and efficient way. These are the Data Visualization tools that the DataViz cluster helps you to master through projects and workshops. Then, clients can better understand the meaning of the data generated by their company.
A few technologies: Tableau, Qlik, Power BI, SAP Lumira, D3.js, SAP BI, Cognos, SQL Server Reporting/Analysis Services, Oracle BIEE, Oracle, SQL Server, MySQL, DB2, SAP Data Services, Oracle Data Integrator, SQL Server Integration Services,…
To thrive and prosper, every modern company needs strong, reliable and efficient software systems to support their daily business and activities. A known challenge is to design, develop, deploy and maintain state of the art software systems.
The Software Engineering cluster guarantees that our consultants stay at the cutting edge of technology and knowledge in all aspects essential to creating modern and robust software systems. Some aspects include requirements engineering and analysis, architecture, software design, software development, deployment, testing, maintenance, cloud architecture and cloud engineering.
Big Data and Data Science
The “new kid” of the group, the data science team is a multi-task one with a specific goal: extract data from the huge amount of data you collected.
Therefore, the cluster uses the latest technologies in Data Engineering and Advanced Analytics.
A few technologies: Hadoop, HDFS, S3, Azure Storage, Elastic search, Neo4j, Kafka, NiFi, Flink, Spark, Hive, Sqoop, Impala, Cassandra, MongoDB, Deep Learning, Machine Learning,…