## 3 Data Management Maturity Model
### Phase 4--Test
#### 3.3.1 Industry Survey
Furthermore, questions about digitalization and economic success were included to provide an initial overview of the value associated with data-driven organizations. In total, 34 questions were designed to cover these topics. For the 34 questions, a distinction was made between variable types: moderator and variable. Ordinal scales were utilized with three scale characteristics (yes/no, a one-to-seven rating scale, and open-ended questions) to enhance comparability. The one-to-seven rating scale was specifically chosen to discourage respondents from consistently selecting the midpoint, thereby ensuring more precise results. The developed questions were initially tested by eleven experienced data and analytics consultants from Camelot, focusing on criteria such as comprehensibility, completeness, and usefulness. Feedback from this review was incorporated to improve the feasibility of the study. The online survey was distributed to industrial customers from May to September 2023. The complete list of questions and answer options can be found in the Appendix A (see Table A2). Responses from 20 participants formed the population N for the data evaluation. The survey was qualitative and targeted, as it was aimed at proven experts from various industry sectors. The participants represented specific, practical knowledge that could not be equally covered by a larger, less specialized sample. This broad distribution created a representative basis for cross-industry statements. The number of participants was chosen so that a saturation point could be reached at which opinions and findings would begin to repeat themselves, which would indicate that the relevant perspectives were sufficiently covered. Initially, the general questions (questions 1-5) were analyzed to obtain an overview of the key characteristics of the organizations involved. Most respondents (40 percent) represented organizations from the automotive sector, while other sectors included travel (10 percent), pharma/life sciences (5 percent), consumer goods/manufacturers (10 percent), and others (35 percent) (see Figure 5). Which industry does your company belong to? Figure 5: Industry sectors of participants. Overall, 55 percent of the organizations had a revenue of more than 5001 million euros. As far as the number of employees of the organizations is concerned, both small- to medium-sized enterprises (up to 5000 employees) were represented with 35 percent as well as large companies (>100,000 employees) with 25 percent. When asked about the existence of a data strategy in the organization, 75 percent mentioned having one. Furthermore, 40 percent saw the added value of the organization's data strategy about business goals to be at least above average or higher. This shows how important it is to have a well-defined data strategy. Only 25 percent stated that roles and responsibilities are strongly to very strongly implemented in the organization. This points to a challenge in governance. While 11 out of 20 indicated that data processes are relatively or better implemented in the organization, there is a need for automation in processes, as only 7 out of 20 answers indicated its relative or better implementation. In general, more than half of all respondents rated their company business performance as relatively strong in the last year. In the next step, correlations between answers to the topic-specific questions 7 to 33 were investigated for making better roadmap improvement decisions. To do so, the [PERSON]'s correlation coefficient was used. [PERSON]'s correlation coefficient calculates the strength of the relationship between two variables (\(\rho\)) on ordinal scales. The correlation coefficient is defined between \(-1\) and \(+1\). A value of \(+1\) corresponds to a perfect positive relationship between both variables, while a correlation of \(-1\) describes a perfect negative relationship. A value of zero indicates that there is no relationship between the two variables.