Analysis and diagnostics of the digita l transformation of an IT company

This article presents a comprehensive study of the digital transformation of an information technology service provider company. As a core case of the company, the paper analyzes a machine learning product for calculating the amount of meth in poultry farms used on agricultural sites in the Saratov and Novosibirsk regions of Russia. The methodology used to assess the prospects for digital transformation of an IT company is based on point scales in the areas for digitalization opportunities, client knowledge, competitive advantages, organizational skills and leadership, IoT readiness. Indicators of vulnerability, revenue share at risk and the company’s position in the «client knowledge vs ecosystem participation» matrix have been computed, their practical application increases the efficiency of the company’s business processes. Quantitative assessments of a variety of parameters of the organization’s digital maturity allowed the authors to formulate recommendations on the development of platform architectures, partner integrations and the expansion of customer experience as key factors for the company’s further growth.

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