Many companies see Data Governance as a promising approach to ensuring data quality and maintaining its value as a company asset. While the practitioners’ community has been vigorously discussing the topic for quite some time, Data Governance as a field of scientific study is still in its infancy. This article reports on the findings of a case study on the organization of Data Governance in two large telecommunications companies, namely BT and Deutsche Telekom. The article proposes that large, service-providing companies in general have a number of options when designing Data Governance and that the individual organizational design is context-contingent. Despite their many similarities, BT and Deutsche Telekom differ with regard to their Da...
In the era of the fourth industrial revolution (Industry 4.0) and digital transformation, data is re...
Master Data Management (MDM) is receiving increasing attention from both academia and the business w...
Abstract: Enterprises need corporate data quality management (DQM) that combines business-driven and...
Organizations have found that seemingly tedious data problems are fundamentally business problems, a...
Organizations have found that seemingly tedious data problems are fundamentally business problems, a...
Data governance is an emerging trend in enterprise information management. This paper explores the r...
Digitalization poses a number of challenges for companies. In particular, enterprise and IT architec...
The rapid increase in data generated by humans and machines has made companies aware of data’s strat...
One of the most significant challenges faced by senior management today is implementing a data gover...
Nowadays, data plays vital role in life of modern organizations. However, data management and especi...
Presently, we are well aware that poor quality data is costing large amounts of money to corporation...
High quality data is a key source of business value,but data quality issues in organizations are oft...
Both information systems (IS) researchers and practitioners consider data governance as a promising ...
This paper addresses the challenge of big data for the design of organisations in governance. Big da...
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...
Master Data Management (MDM) is receiving increasing attention from both academia and the business w...
Abstract: Enterprises need corporate data quality management (DQM) that combines business-driven and...
Organizations have found that seemingly tedious data problems are fundamentally business problems, a...
Organizations have found that seemingly tedious data problems are fundamentally business problems, a...
Data governance is an emerging trend in enterprise information management. This paper explores the r...
Digitalization poses a number of challenges for companies. In particular, enterprise and IT architec...
The rapid increase in data generated by humans and machines has made companies aware of data’s strat...
One of the most significant challenges faced by senior management today is implementing a data gover...
Nowadays, data plays vital role in life of modern organizations. However, data management and especi...
Presently, we are well aware that poor quality data is costing large amounts of money to corporation...
High quality data is a key source of business value,but data quality issues in organizations are oft...
Both information systems (IS) researchers and practitioners consider data governance as a promising ...
This paper addresses the challenge of big data for the design of organisations in governance. Big da...
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...
Master Data Management (MDM) is receiving increasing attention from both academia and the business w...
Abstract: Enterprises need corporate data quality management (DQM) that combines business-driven and...