Our products are used in all countries
Business Intelligence (BI) is the process of analyzing historical and current data to provide actionable insights for making strategic business decisions. Business intelligence tools solve this problem by processing large datasets from multiple sources and presenting the results in formats that are easy to understand and share.
The need to implement BI-tools appears when it is necessary to increase the efficiency and profitability of the organization. BI methods are aimed at accelerating the flow of data and facilitating access to information within the company: simplifying the creation, maintenance and distribution of standard reports.
We develop BI reports of any complexity for our clients - management, regulatory and dashboards. We build data marts and subject areas so that our clients can generate any reports on their own. We have a lot of tools from the world's leading developers - IBM, Microsoft, SAP, Qlik, etc. in our arsenal.
Reporting of any complexity and focus to study data, with the help of which companies can find ideas for development
Reporting of any complexity and focus to study data, with the help of which companies can find ideas for development
Reporting of any complexity and focus to study data, with the help of which companies can find ideas for development
Data Warehouse is a specially organized unified enterprise database, which collects and stores corporate information of various kinds. The storage provides structuring of corporate information with chronology support and provides quick access to the necessary data
A data warehouse is needed when an organization accumulates large amounts of disparate data and increases the load on the operating system. DWH helps to carry out intellectual analysis of huge amounts of data, quickly generate complex aggregated reports, effectively analyze heterogeneous data and receive reports. Storage allows you to reduce the load on transactional and operating systems, expand the structure of data accounting and better manage processes.
We implement data collection in corporate storage using ETL processes; we improve the quality of information and increase its value. This allows different users to use DWH as a single source of trusted information; the solution allows you to visualize information using business intelligence tools in the form of dashboards, standardized or created by reporting users themselves.
Collects and structures data from different sources
Helps to process and aggregate the collected data according to specified algorithms
Allows you to create data marts for processing by external BI tools
Helps to generate complex analytical and marketing reporting
Allows you to set up automatic control over changes in key indicators
Helps to develop reporting forms independently
Machine learning is a data analysis technique that automates the construction of an analytical model. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.
Through the analysis of huge arrays of structured and unstructured data, there are endless possibilities. Forecasting the future, predicting the behavior of the audience, trends, preventing crises and risks, reducing the incidence of diseases in the population, preserving rare species of animals - it all depends on the scope and tasks that a person sets for himself.
Our machine learning models automate business processes to solve tasks that were previously only possible for humans. The very name "machine learning" arose from the fact that before artificial intelligence can perform tasks, it needs to show the correct answers on a large number of input data examples and correct incorrect solutions. This is very similar to teaching a person a foreign language: the teacher pronounces new words, the student repeats after the teacher, and he says what needs to be corrected in pronunciation. Step by step, the student learns new words and soon, without a teacher, he can apply them correctly. Developing machine learning solutions is an almost endless field of possibilities.
Machine learning has potential value for companies trying to work with big data to better understand small changes in behavior, preferences, or customer satisfaction. Business leaders are beginning to realize that many things that happen within their organizations and industries cannot be sorted out by simple queries. These are not questions you know, but patterns and anomalies hidden in the data that can either help or hurt you.