📋 Tender Overview
TData, a Russian developer of data storage and analytics solutions, has successfully implemented the RT.DataGovernance (DG) data documentation tool at EVRAZ. The product helped streamline work with data, ensured control over production processes, and doubled the speed of developing production indicators, which significantly reduced the company's financial costs for these processes.
The EVRAZ project team faced the task of unifying indicators in various divisions within the framework of the Unified System of Production Indicators (USPI) program. In particular, the project perimeter included ore mining and mining and metallurgical operations, including steel smelting and steel product manufacturing. It was also necessary to streamline the interaction between data owners, business users and IT specialists. To achieve this goal, it was necessary to combine the requirements of all users, record the algorithms for calculating indicators and establish data sources and aggregation rules.
After implementing RT.DataGovernance, EVRAZ can fully control production processes using analytical dashboards that visualize key indicators and their changes. In addition, the company has doubled the speed of developing production indicators and reduced the costs of these processes.
RT.DataGovernance has significantly simplified the collection of requirements and development of indicators. The system records information on the basis of which reports are created for operational management. This helps to evaluate the number of indicators on dashboards, the degree of readiness of their descriptions, the status of sources and expectations of innovations. For the convenience of users, a transition from the ESPP dashboards to the description of indicators in the business glossary has been implemented, which improves navigation. Integration with the DataCatalog (data catalog) [1] , containing source metadata, allows you to view data sources and build a DataLineage (data origin) [2] .
To date, more than 9,000 production indicators have been entered into the system, of which 3,000 already contain a detailed description. The development of new indicators is carried out exclusively in the context of updating data in RT.DataGovernance, which allows laying the foundation for using the product in other business functions and data domains.
