Large volumes of data make it increasingly difficult to extract value from them. The Data Driven approach considers data as a strategic asset, and decisions are based on the interpretation of data.

Big data is the term used for information sets whose magnitude or variety is beyond the power of conventional relational databases to capture, manage, and process the information with low-latency. And it has one or more of the following requirements:

  • Big volume
  • Higher velocity
  • Wide variety

Big Data Analytics are all the technology and mathematical developments to cross, manipulate, analyze and store all that information, to find predictive model that provides value.

Information visualization has an important role, because it enables information exploration and improves the connection of final outcomes, the more we see our information, the better questions we can ask of it. The more intriguing these questions, the more intriguing the answers, and the more intriguing our visualizations will be.

Our interactions with clients revealed that organizations are earning important analytics insights with their Big Data environments and therefore are increasing their value. However, the thought concern is to manage tons of data without losing important information.

EXCELTIC has a Technology Services Department, which is composed of engineers with vast expertise in software development, as well as a broad range of technical knowledge in big data and machine learning technologies.

Exceltic has signed an agreement with CONFLUENT® in 2022, becoming a CONFLUENT® Partner for Europe. CONFLUENT Platform is an enterprise-ready solution that completes Kafka with advanced capabilities designed to help accelerate application development and connectivity, enable transformations through stream processing, simplify enterprise operations at scale and meet stringent architectural requirements.


  • Big data project’s management
  • Advance Statistics Applied to Decision Making
  • Data analytics and Data mining
  • ETL solutions
  • Software development
  • Data architecture
  • Software architecture
  • Normalization and data standardization
  • Outsourcing services



10 years of experience in technological projects

Full coverage

Full end-to-end technological engineering projects life cycle coverage

Multidisciplinary team

Multi-disciplinary local team, with regional experience and global perspective


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