Aim. The presented study aims to substantiate the need to use digital technologies in analytics to make effective management decisions and ensure cost reduction.Tasks. The authors determine the place of a digital analytics platform in cost analysis; identify key factors in the implementation of the platform; describe the capabilities of the tools provided by the analytics platform and how they can be used in the cost management process.Methods. This study uses general scientific methods; the results are summarized through tabular and graphical presentation; four groups of data analysis methods (descriptive and diagnostic analytics, predictive and prescriptive analytics) are identified; within each group, special methods of cost analysis (management analysis methods and advanced analytics methods) are indicated, which can be automated using an analytics platform.Results. It is found that the introduction of an analytics platform transforms the structure of time costs associated with performing analytical work, freeing up working time for solving other management tasks. It is established that analytics platforms are flexible and can find highly specialized solutions due to a wide range of tools and methods implemented on the basis of the platform. The selection of tools and methods depends on the tasks set as part of the cost analysis. Acceptable options for using advanced analytics tools within the framework of cost management are formulated.Conclusions. The analytical platform serves as a tool that improves the quality of data processing necessary for making effective management decisions. Comprehensive application of traditional cost analysis tools and advanced analytics facilitates the effective search for new opportunities for optimizing business processes, which is an urgent task in the context of uncertainty and limited resources. Considering the importance of the functions performed by the tools of the analytics platform and in connection with the withdrawal of foreign leaders in the field of business analytics from the Russian market due to sanctions, domestic vendors of analytical systems are faced with the challenge of further improving software products that should be on par with their foreign analogs in terms of functionality.

Subject. This article deals with the tools of lean manufacturing concept that seek to eliminate losses or minimize them as much as possible while improving the quality of products provided. Objectives. The article aims to examine the theoretical and methodological aspects of the lean concept, and describe the foreign experience of using lean technologies. Methods. For the study, I used the methods of analysis, retrospection, comparison, and generalization. To present the study results, I used the tabular method. Results. The article defines the notion of Loss (Muda) and types of losses specified in dedicated sources. It describes the techniques that help companies eliminate losses and maximize market orientation through their staff members’ participation. The article defines the content and discusses the implications of implementing various key tools of the lean concept. Conclusions. Lean technologies can be implemented both individually and in combination with one another. When combined, the technologies can help both optimize labor and tangible costs, and meet the needs of customers. The use of a wide range of lean concepts can contribute to solving socioeconomic challenges faced by an individual economic entity and the entire country.

No abstract

No abstract

No abstract