Topic of this thesis is the Data Governance implementation in the large companies. These companies struggle during governing and managing data to get useful insights for the decision making. Data Governance is new approach to managing the companies which helps to solve the data management pain points and helps organizations to work with data effectively and without any problems. Data Governance helps to transform data into asset. This thesis is divided into theoretical and practical part. In the theoretical part are discussed reasons for emerging Data Governance, analysis of approaches to Data Governance by world leading methodologies and possible focus of the Data Governance projects as well as its benefits. Important part of this theoretical part is Data Governance components definition. Implementation of the Data Governance is discussed in the practical part. The goal of the practical part is to describe required artifacts which should exist during the implementation. Described artifacts use the best practice from the existing literature. These deliverables will help to better structure, govern and successfully implement the Data Governance. Delivering these artifacts bring the value for the company. Each project deliverable has definitions of the importance for the project team and the company. Most important benefit of the practical part is aspiration to eliminate pain points during the Data Governance implementation as appropriate project team, cooperation definition, buy-in and deliverables.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:197446 |
| Date | January 2013 |
| Creators | Zosinčuk, Dominik |
| Contributors | Doucek, Petr, Oškrdal, Václav |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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