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Start Date

16-8-2018 12:00 AM

Description

What many enterprises lack today is an appreciation of where they stand in terms of their own digitization level. Maturity models are tools recognized both in science and in practice as a means of determining the current state of development for an application domain. However, considering the complexity of digital transformation, an “attempt” to classify digitization levels with a single maturity model consistently fails. Therefore, we recommend an open ecosystem of maturity models focusing on digital transformation as holistic toolset. The contribution of our paper lies in providing a procedure model for identifying and selecting different maturity models to better assess an enterprise’s digitization level in its entirety. More practically, we include a step-by-step exertion of the procedure model. Since master data represents a valuable asset in the digital era and therefore, must be managed efficiently and effectively—we apply our procedure model to the perspective of data quality management.

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Aug 16th, 12:00 AM

Towards an Open Ecosystem for Maturity Models in the Digital Era: The Example of the Data Quality Management Perspective

What many enterprises lack today is an appreciation of where they stand in terms of their own digitization level. Maturity models are tools recognized both in science and in practice as a means of determining the current state of development for an application domain. However, considering the complexity of digital transformation, an “attempt” to classify digitization levels with a single maturity model consistently fails. Therefore, we recommend an open ecosystem of maturity models focusing on digital transformation as holistic toolset. The contribution of our paper lies in providing a procedure model for identifying and selecting different maturity models to better assess an enterprise’s digitization level in its entirety. More practically, we include a step-by-step exertion of the procedure model. Since master data represents a valuable asset in the digital era and therefore, must be managed efficiently and effectively—we apply our procedure model to the perspective of data quality management.