## 3 Data Management Maturity Model
### Phase 4--Test
#### 3.3.1 Industry Survey  
To identify the most challenging process dimensions and capabilities that need to be addressed, an industry survey on the topic of \"The Value of Data-Driven Organizations\" was conducted. Additionally, to explore potential correlations between capabilities, the analytic hierarchy process (AHP) method was employed with input from six consultant experts in data management. To calculate the correlations within a process dimension, \begin{table}
\begin{tabular}{p{42.7 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**\#** & **Question** & **Level** & **Answer Option Depending on the Level** \\ \hline \multirow{6}{*}{1} & & 1 & Incomplete: The organization lacks a defined or planned data strategy for the foreseeable future. \\ \cline{2-3}  & & 2 & Performed: An initiative is underway to establish a data strategy, albeit without a clearly defined roadmap. \\ \cline{2-3}  & How would you & 3 & Managed: Efforts are underway to develop a comprehensive data strategy roadmap by conducting an assessment of the current data landscape. \\ \cline{2-3}  & describe your data strategy? & 4 & Established: A robust data strategy has been formulated, encompassing a detailed roadmap and specific action items to lay the groundwork for future initiatives. \\ \cline{2-3}  & & 5 & Predictable: The data strategy undergoes yearly review and refinement as part of an ongoing process of continuous improvement. \\ \cline{2-3}  & & 6 & Innovative: The data strategy is implemented continuously and has a profound, long-lasting impact on the entire organization’s value-creation efforts. \\ \hline \multirow{6}{*}{2} & & 1 & Incomplete: The absence of a communicated data strategy leaves stakeholders uninformed. \\ \cline{2-3}  & & 2 & Performed: Plans are in place to align data, business, and IT strategies, though communication remains pending. \\ \cline{2-3}  & To what extent are & 3 & Managed: Alignment between data and business strategies has commenced, accompanied by targeted communication efforts. \\ \cline{2-3}  & the business, data, and strategy & 4 & Established: The current data strategy aligns with the overarching business strategy, with effective communication channels established. \\ \cline{2-3}  & aligned? & 5 & Predictable: Data considerations an seamlessly integrated into the annual company-wide strategy review and adjustment processes. \\ \cline{2-3}  & & 6 & Innovating: The overarching data strategy actively facilitates and enhances alignment with the company’s business strategy through continuous communication and management. \\ \hline \multirow{6}{*}{3} & & 1 & Incomplete: The prevailing company culture does not accommodate a data strategy. \\ \cline{2-3}  & & 2 & Performed: Plans are underway to align the future data strategy with the organization’s cultural ethos. \\ \cline{2-3}  & the data (and & 3 & Managed: Initial efforts to integrate company culture within the data strategy framework are in progress. \\ \cline{2-3}  & business) strategy fit the company culture? & 4 & Established: The data strategy is harmonized with the existing cultural fabric of the organization. \\ \cline{2-3}  & & 5 & Predictable: Cultural alignment forms an integral part of the annual strategy review, ensuring cohesion between data strategy and organizational culture. \\ \cline{2-3}  & & 6 & Innovating: Ongoing strategy reviews actively foster a supportive data culture within the company, driving innovation and alignment. \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Questionnaire example of the strategy dimension. we utilized the decision support method of multi-criteria (AHP), which is a decision support method to support decisions in teams and make the decision making and the result comprehensible. It also tries to uncover possible inconsistencies in decision making [26; 27]. The survey included a questionnaire that addresses topics such as strategy, governance, processes, architecture, data literacy, and data quality.