about us
we help you run your business using the models of the future
We believe that the costs and methods of transporting goods affect not only the macroeconomics of countries, but also the economy of companies, their profitability, ability to compete, but also the prices of goods for citizens and the quality of the natural environment.
By using the most modern methods of working with big data, mathematical models, the application of neural networks and AI, we are able to give you data that optimizes the logistics of goods. Energy will be saved, the impact on the environment will be reduced and the price of the products will be reduced and your profit will increase.
our services
Custom Services For Your Business
Business data analysis (BDA)
Business intelligence uses applied mathematics tools and descriptive statistics with data with high information density to measure things, detect trends, etc. Big data uses mathematical analysis, optimization, inductive statistics, and concepts from nonlinear system identification to infer laws (regressions, nonlinear relationships, and causal effects) from large sets of data with low information density to reveal relationships and dependencies, or to perform predictions of outcomes.
Big data predictive analysis
Big data predictive analysis include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, and data source. The analysis of big data presents challenges in sampling, veracity, quality and insightfulness of the data. Without expertise for big data veracity, the volume and variety of data can produce costs and risks that exceed an organization’s capacity to create and capture value from big data.
Use of predictive analytics, certain other advanced data analytics methods that extract value from big data, and seldom to a particular size of data set. Analysis of data sets can find new correlations to spot trends in the logistic, maritime, cargo transport, custom rules.
According to IDC, global spending on big data and business analytics (BDA) solutions is estimated 200 billion GBP.
Mathematical data modeling and data mining
Mathematical modeling is the process of applying formulas and relationships to a set of data. A statistical model is a mathematical representation (or mathematical model) of big data.
Data mining is the collection of large data for mathematical data analysis. Data is extracted and mathematical formulas are defined in large data sets, which includes methods at the intersection of machine learning, neural networks and AI, and statistics are processed. It is an interdisciplinary subfield of computer science and statistics with the overall goal of extracting information using neural networks and artificial intelligence from a dataset and transforming the information into an understandable structure for further use. Data mining is the automatic analysis of large amounts of data to extract previously unknown interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection) and dependencies (association rule mining, sequential pattern mining).
WHY CHOOSE US
We provide professional services for logistics companies
Within the framework of data models, we cooperate with companies providing big data information on international transport.
Are you ready to improve your business using data models and analytics?
We’re confident you’ll be 100% satisfied With Our Awesome Services!