Talatuyskiy Gold Mine Brings Gold Production Into the Digital Environment
Gold mining involves a wide range of operations, from drilling and extraction to crushing and grinding. Each generates data on production volumes, ore quality, equipment failures and other key indicators. Typically, however, this information is scattered across different systems: some records are stored in the 1C accounting software, while others are kept in spreadsheets that employees update manually.
To make production data easier to work with, engineers at the Talatuyskiy Gold Mine in Tungokochenskiy District, Zabaykalskiy Krai, have deployed PIX BI, a unified production analytics system supplied by systems integrator First Bit. The platform automatically collects information from all available sources, consolidates it into a common dataset with comparable figures, and displays the results on interactive dashboards.
Software Is Gold
The mine extracts and processes gold-bearing ore. The deposit's explored resources are estimated at more than 49 tonnes of gold. Before PIX BI was introduced, operational information was stored across multiple sources. The main accounting tool was 1C: Mining Industry 2, Operational Accounting 1.1, while employees handled some plans, adjustments and supplementary information manually in Excel. Managers had to request documents from several departments, combine spreadsheets and investigate deviations from production targets themselves.
PIX BI covers the entire gold production chain. At the open pit, it records data on overburden removal and ore extraction, drilling, blasting and gold grades. At the crushing and screening complex, it tracks crusher throughput, equipment availability, downtime and the reasons for stoppages. At the gold processing plant, it monitors the volume of ore processed, gold content, recovery rates and metal output. Managers can view performance in a plan-versus-actual format, with deviations clearly identified. If gold production falls below target, the system makes it possible to quickly compare extraction figures, ore quality, crusher performance and plant recovery rates, helping managers pinpoint where the problem has occurred.
A Single Source of Truth
Industrial business intelligence (BI) tools and systems for integrating production data are already being used across the mining industry.
For example, ALROSA has put the Russian-developed TEP 2.1 production data management system into commercial operation. It brings together planning and performance analysis for mining equipment, haulage fleets and mineral processing plants. Actual operating data is collected automatically and compared with production, transportation, equipment and plant performance targets across all of the company's sites. According to Alexander Kotov, ALROSA's Deputy Director for Production and Mining Operations, the system is “a tool that enables faster and more accurate decision-making,” while data consolidation takes place without human intervention.
Polyus has migrated its information systems to a Russian platform built on Arenadata solutions. The new infrastructure brings previously disconnected data sources into a unified environment. The Arenadata QuickMarts data environment contains about 3 billion rows and more than 950 storage objects. In the first half of 2026, the company's dashboards processed more than 3 million analytical queries. Denis Erofeev, Director of Business Applications Development and Support at Polyus, said the platform “makes it possible to bring together and standardize all data flows across the company within a single environment,” laying the groundwork for predictive analytics and neural networks.
Less Time, Greater Transparency
According to a study by SberAnalytics, 82% of Russian companies use domestic BI platforms for business analytics. Demand for BI solutions grew by 15–17% in 2025. PIX BI creates a unified, comparable picture of production by bringing together data that was previously scattered across different systems. Report preparation time has fallen from eight hours to 15 minutes, while equipment downtime has decreased by 12%. The platform also makes production processes more transparent.
PIX BI has been listed in Russia's domestic software registry since December 2022. It could appeal to companies seeking end-to-end analytics without having to replace their existing accounting systems and equipment. This is particularly relevant to mid-sized operations. Large steelmakers and mining companies typically have substantial budgets for digitalization, while the cost and complexity of implementation can pose much greater obstacles for smaller mines.
One of the platform's advantages is its integration with 1C products, which are used by businesses both in Russia and internationally. First Bit's Uzbekistan subsidiary already offers PIX BI implementation, licensing and support services in Tashkent.
The system currently analyzes actual equipment downtime, including its duration and causes. Predicting equipment failures will require integrating BI with data from industrial sensors, telemetry systems and maintenance platforms. Further development could also connect production analytics with operational planning and scenario modeling.
