Data Mining Services
We can help you connect data of all your business processes with critical external sources (public health status, utility data, financial indexes, economic indicators, government policy, climate and geo indicators etc.) to forecast your future results. And the question always arises - how to apply them in each specific case?


Data collection
After formulating the problem, the company’s specialists begin a preliminary study of the data necessary to solve the problem.
On the part of the customer, participation may be required to clarify, for example, the meaning of the data being investigated or dive into the specifics.
Tools & methods
Languages: Python, R, shell, PHP, SQL
Methods: API, ODBC
Tools: Power Pivot, Excel, MSSQL, MySQL
Datasets
Data cleaning
At this stage, the company’s specialists prepare data for further analysis. For this, the whole range of data preparation methods is used; in each case, specialists choose the most suitable methods.
Tools & methods
Languages: Python, R, shell, PHP, SQL
Methods: API, ODBC
Tools: Power Pivot, Excel, MSSQL, MySQL
Datasets


Modeling
The main stage is data analysis. This is a completely technical process that the company’s specialists carry out both using their own algorithms and using software from world leaders in analysis and hypothesis testing.
Tools
Languages: Python, R, shell, PHP, SQL
Software: Statistica TIBCO, IBM SPSS/Watson
Datasets
The list of methods used for the analysis and search for Hidden Knowledge
Visualization
The company’s specialists are engaged in the interpretation and visualization of the acquired knowledge and patterns. The knowledge found is presented in a convenient and understandable form using business intelligence tools.
Tools & methods
Tools: Power BI, Tableau, Google Data Studio, IBM SPSS, Power Pivot, Excel, etc.
Datasets
