An application on digital transformation analysis in business

This study aims to analyse a company's current position and development potential in its digital transformation process using a multidimensional approach. The research addresses digital maturity in six main dimensions: customer, operations, technology, governance, innovation and human resources. The data collection process was conducted through focus group interviews involving internal experts and moderated by a facilitator. In these interviews, a structured questionnaire consisting of 89 questions was used to score both the company's current digital maturity level (Current DMI) and the level it aims to achieve strategically (Target DMI) on a 5-point Likert scale. Mixed methods were adopted for the analysis of the collected data. First, descriptive statistics were used to calculate the current maturity scores and standard deviations for each dimension and sub-dimension. The standard deviation values were used to measure the level of internal consensus within the organisation under the name of 'wave analysis.' Then, a 'target-reality comparison' was conducted to reveal the difference between the current and target scores. These two analyses (development gap and standard deviation) were combined to create a 'development priority matrix' for the effective allocation of resources. To enhance analytical depth, the K-means clustering algorithm was applied to classify the development priorities of sub-dimensions in a data-driven manner. Additionally, regression analysis was conducted to measure the statistical contribution of sub-dimensions to the overall maturity level of their respective main dimensions, and an analysis of variance (ANOVA) was performed to test for significant differences between main dimensions. Finally, a linear regression-based prediction model was developed to forecast target maturity levels based on current maturity levels. The analysis findings indicate that the company has an overall medium level of digital maturity. While the Human Resources and Customer dimensions received relatively higher scores, significant development gaps were identified, particularly in the Governance and Innovation dimensions. Wave analysis revealed the presence of high standard deviations, particularly in sub-dimensions such as 'Products and Services' and 'Industry 4.0,' indicating a lack of common vision in these areas. The development priority matrix and K-means clustering identified Governance, Innovation, and Technology dimensions as 'High Priority' segments, confirming that these are areas requiring urgent intervention. The regression model established for target DMI estimation showed that the current maturity level explains approximately 67% of the variance at the target levels (R²=0.669), indicating that the organisation has internal consistency in its target setting processes. In conclusion, the study provides a data-driven and actionable roadmap for the company's digital transformation journey. Strategic recommendations focus on prioritising investments in critical and agreed-upon areas such as Governance and Innovation, establishing a common digital vision within the organisation to address inconsistencies in assessments, and continuously monitoring the development process through periodic use of this assessment framework. This comprehensive model not only identifies the current state but also serves as a dynamic management tool that supports strategic decision-making processes.