Digitalization poses a number of challenges for companies. In particular, enterprise and IT architectures of companies are becoming increasingly complex. Data architecture - a core element of the IT architecture - is the basic source for communication, decisions and processes. Hence, reliable data requires a homogenous data architecture controlled by guidelines and specifications (i.e., data governance). This study focuses on a requirements-based implementation of data governance. By applying a case study approach, using different data collection and evaluation methods, this study investigates a large-scale manufacturing enterprise’ approach towards data governance. Based on the data collected, recommendations for future action are provided...
In the era of the fourth industrial revolution (Industry 4.0) and digital transformation, data is re...
Data has become an invaluable asset to organizations. However, it is evident from the existing liter...
Organizations must quickly adapt their processes to understand the dynamic nature of modern business...
The rapid increase in data generated by humans and machines has made companies aware of data’s strat...
Data governance is an emerging trend in enterprise information management. This paper explores the r...
Data are often the foundation of digital innovation and are seen as a highly valuable asset for any ...
Abstract: Enterprises need corporate data quality management (DQM) that combines business-driven and...
Topic of this thesis is the Data Governance implementation in the large companies. These companies s...
As organizations deploy business intelligence and analytic systems to harness business value from th...
High quality data is a key source of business value,but data quality issues in organizations are oft...
Enterprises need corporate data quality management (DQM) that combines business-driven and technical...
Companies in these days deal with underlying issue that concerns about questions how to manage volum...
In a modern organization, IT and digital data have transformed from being functional resources to in...
Abstract:- To increase the value of data as a business asset, companies and government organizations...
In the era of the fourth industrial revolution (Industry 4.0) and digital transformation, data is re...
In the era of the fourth industrial revolution (Industry 4.0) and digital transformation, data is re...
Data has become an invaluable asset to organizations. However, it is evident from the existing liter...
Organizations must quickly adapt their processes to understand the dynamic nature of modern business...
The rapid increase in data generated by humans and machines has made companies aware of data’s strat...
Data governance is an emerging trend in enterprise information management. This paper explores the r...
Data are often the foundation of digital innovation and are seen as a highly valuable asset for any ...
Abstract: Enterprises need corporate data quality management (DQM) that combines business-driven and...
Topic of this thesis is the Data Governance implementation in the large companies. These companies s...
As organizations deploy business intelligence and analytic systems to harness business value from th...
High quality data is a key source of business value,but data quality issues in organizations are oft...
Enterprises need corporate data quality management (DQM) that combines business-driven and technical...
Companies in these days deal with underlying issue that concerns about questions how to manage volum...
In a modern organization, IT and digital data have transformed from being functional resources to in...
Abstract:- To increase the value of data as a business asset, companies and government organizations...
In the era of the fourth industrial revolution (Industry 4.0) and digital transformation, data is re...
In the era of the fourth industrial revolution (Industry 4.0) and digital transformation, data is re...
Data has become an invaluable asset to organizations. However, it is evident from the existing liter...
Organizations must quickly adapt their processes to understand the dynamic nature of modern business...