ENTERPRISE DATA WAREHOUSES
WHAT IS DATA WAREHOUSE?
Companies operate a large amount of information; therefore they are faced with the problem of data quality and the lack of data on past periods from the right viewpoint.
Information from external and internal sources has different structures and data arrays are often duplicated or contradict each other. Enterprise data warehouses address all these issues.
DWH accumulate information about the company’s business in a single source for external and internal users: management, employees and customers.
We develop solutions that centralize a large amount of information and improve data quality for managerial decisions.
Comprehensive data analysis identifies bottlenecks in business processes, for example, disadvantageous promotion channels.
Enterprise data warehouse collects valuable information and helps analyze past performance in detail. As a result, the business has more proof-points to, for example, abandon activities that cause losses.
Through the analysis of data from different categories, companies are able to visually compare, for example, sales in different months, determine the impact of seasonal fluctuation and more accurately schedule production activities for each period.
WHAT SERVICES DO WE OFFER?
IMPLEMENTATION OF DATA INTEGRATION METHODS
We develop and implement data extraction, transformation and loading processes (ETL processes), methods for data quality monitoring (DQM) and data masking.
DEVELOPMENT OF DATA WAREHOUSES
We develop solutions for storing and processing data arrays that customer corporate systems can no longer deal with and integrate them with customer IT systems.
IMPLEMENTATION OF BI SYSTEMS
We introduce business intelligence systems that are able to process current data: generate reports and make forecasts. If necessary, we set up prescriptive analytics to test hypotheses and obtain probable scenarios for developments.
WHAT ARE THE BENEFITS FOR THE COMPANIES?
1 / Single source of information
Enterprise data warehouses integrate information from various sources and prepare it for analytical and other corporate systems.
2 / Data quality
Enterprise data warehouses structure disaggregated data, prevent duplication of information and implement a unified concept for data processing: format, structure, etc.
3 / Analysis ready data
Based on the accumulated information, enterprise data warehouses generate optimal structures for processing by analytical systems. Company’s management receives reports based on reliable and accurate up-to-date data.
KEY FEATURES OF ENTERPRISE DATA WAREHOUSES
- Connection to any data sources
- Deployment on-premises or in the cloud
- Enabling analytics
- Concurrent processing of Big Data
- Industrial or corporate data model*
*Industrial data model contains a business glossary and auxiliary directories, ready-made solution templates for 140+ business tasks, 1700+ financial indicators and 380+ analysis viewpoints. Corporate data model is developed on the basis of business processes and individual company data.