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Power engineering

Modern enterprises of the energy complex are a combination of production units, logistics companies and distribution centers. Effective management of such a structure means maximizing production volume, minimizing downtime and controlling the entire supply chain.
The daily process of operating such an enterprise requires intensive information interaction between all its participants. In this case Unidata platform can be used as a single information center to ensure the solution of a number of important tasks.
Solution features
6
Advantages
Reducing the labor costs necessary for the organization of information interactions between existing and new information systems (ERP, CRM, SRM). Also, the downtime is reduced through maintenance planning and technical support services.
Powerful customers catalog
Creation of a single catalog of customers regardless of the segment (B2B, B2C, B2G), providing the ability of forming individual tariff plans and commercial offers.
Single information space
Formation of a single information space of an industry level through the organization of a centralized collection of information from heterogeneous information systems with subsequent generalization and elimination of repeated erroneous and outdated data.
Automation
Automation of the process of receiving and updating data from directories created and regulated by third-party organizations and government agencies. Ensuring the receipt of data published by third-party organizations and government agencies in the enterprise information systems.
Reducing downtime
Reducing downtime of equipment by centralizing the planning process for repair works and maintenance.
Reliable data source
Creation of a reliable source of qualitative data for the systems used in the framework of the information support of the process of managerial solutions (BI class systems and others).
Power engineering
Unidata Platform
The platform allows you to extend the functionality of the existing database and build complex systems.

Platform advantages

  • 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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