The Unidata platform increases the efficiency of enterprises in the industrial sector through the organization of information interactions between the elements involved in the production process and the components involved in the financial and economic management of the enterprise as a whole.
The introduction of the Unidata platform at an enterprise in the industrial sector will create an automated mechanism for managing materials, as well as the technical, methodological and production bases, taking into account the technological processes that are the basis for the activities of each individual production unit.
Tasks to solve
Managing the composition of the products, orders of suppliers of components, selection of analogues for the product’s structure, sales planning and production operations (S&OP).
Vast opportunities for using consolidated data from public sources: data on economic indicators of contractors, the availability of judicial proceedings in respect of them, the availability of contractors in various registers of the Federal Tax Service, the Ministry of Justice and other federal and regional executive authorities, changes in the composition of shareholders and related legal and individuals and other information.
The ability of forming analytical reports on the enterprise’s activity in an arbitrary period of time.
Single data center
Creation of a single data center for internal corporate information systems for the subsequent formation of production and financial plans.
Automation of processes of searching for duplicates and cleaning up information contained in enterprise information systems.
Ensuring quality control of products, taking into consideration the nomenclature composition, cost characteristics and quality indicators, the availability of similar products on the market, the terms of the provided guarantee, etc.
The platform allows you to extend the functionality of the existing database and build complex systems.
- Data management based on a company’s internal regulations
- Finding and merging duplicates
- Enrichment and consolidation
- Quality control and validation
- Centralized data management
- Data analysis and statistics
- Seamless integration with third-party information systems
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