Medera Trade Technology Solutions

We help businesses make data-driven decisions by unlocking actionable insights from business data

Big data consulting helps derive valuable insights from vast volumes of multi-structured data relying on expert assistance. We provide data processing, data testing, data quality assurance, and business intelligence services

Data ops

Our DataOps services make use of automated and flexible data engineering models to break down complex data silos. Thereby improving the overall data quality and data integration throughout the entire data lifecycle.

Data science

We build custom data engineering platforms that feature data analysis, model validation, and data management. We help our clients discover new opportunities, gain customer insights, and streamline operations.

Data quality

Testing of a big data application combining operational and analytical parts comprises the validation of the app’s correct and smooth functioning (including testing event streaming and analytics workflows, a DWH and a non-relational database, the app’s complex integrations), its availability, response time, optimal resources consumption, data integrity and security.

Data collection and data processing

We collect and analyze data using MATLAB Turn large volumes of complex data into better designs and decisions no matter what the data source or format

Data acquisition

Data acquisition, or DAQ as it is often referred, is the process of digitizing data from the world around us so it can be displayed, analyzed, and stored in a computer. A simple example is the process of measuring the temperature in a room as a digital value using a sensor such as a thermocouple. Modern data acquisition systems can include the addition of data analysis and reporting software, network connectivity, and remote control and monitoring options.
Machine Learning and artificial intelligence

Artificial intelligence is a technology that enables a machine to simulate human behavior. Machine learning is a subset of AI which allows a machine to automatically learn from past data without programming explicitly. The goal of AI is to make a smart computer system like humans to solve complex problems.
Modelling, simulation, and prototyping

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With todays technology, its possible to analyze your data and get answers from it almost immediately an effort thats slower and less efficient with more traditional business intelligence solutions. MATLAB has the tools to work with large datasets and apply the necessary data analysis techniques.

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