Over the recent years, more and more data has become openly available on the internet. However, currently this valuable base of information remains largely unused by companies. In order to fill this gap, we develop the Data App Store, an online platform that supports businesses in the discovery, integration and use of open data.<\/p>\n
Contact: Andreas Lang<\/a>\u00a0or\u00a0Christine Legner<\/a><\/p>\n The concept of an information supply chain consists of all activities and work associated with the transformation of raw data to the delivery of information products to the end consumer and involves the participation of several actors. It functions as an analogy to product supply chain. The goal is to understand how data circulates throughout various corporate systems and functions.<\/p>\n Contact: Cl\u00e9ment Labadie<\/a>\u00a0or\u00a0Christine Legner<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n Information Security is covered by a variety of general purpose frameworks (relating to governance and auditing, among others). Data management is a subset of these topics that falls under the umbrella of these frameworks, and may be either explicitely or implicitely addressed.<\/p>\n Contact: Cl\u00e9ment Labadie<\/a>\u00a0or\u00a0Christine Legner<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n Big Data is a relatively new technological trend – as such, the way it should be used and manage in corporate environments still needs further definition.\u00a0Big data management is the organization, administration and governance of large volumes of both structured and unstructured data.<\/p>\n Contact: Cl\u00e9ment Labadie<\/a>\u00a0or\u00a0Christine Legner<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n Analytical solutions are mainly adopted by large enterprises, however cloud services provide a cost-effective approach to support its adoption by a wider range of organizations. In fact, the global analytics as a service (AaaS) market is expected to grow from $5.9 billion in 2015 to $22.24 billion in 2020\u00a0<\/span>(ResearchandMarkets, 2016)<\/span>. Besides the reduced costs for implementation, several other factors favor cloud services for business analytics, particularly increased agility owing to the scalability of cloud.\u00a0<\/span><\/p>\n Contact: Dana Naous<\/a>\u00a0or\u00a0Christine Legner<\/a><\/p>\n<\/div>\n<\/div>\n \u00a0By 2020, \u201cmore than $1 trillion in IT spending will be directly or indirectly affected by the shift to cloud\u201d (Gartner, 2016)<\/span>.\u00a0<\/span>Cloud services are<\/span>mainly delivered in three fundamental service models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Given the rapid increase of cloud service offerings, users are confronted with multiple options. They find it difficult to evaluate cloud services with the various levels of performance and different economic models.\u00a0<\/span><\/p>\n Contact: Dana Naous<\/a>\u00a0or\u00a0Christine Legner<\/a><\/p>\n<\/div>\n Open Data Use Cases Over the recent years, more and more data has become openly available on the internet. However, currently this valuable base of information remains largely unused by companies. In order to fill this gap, we develop the Data App Store, an online platform that supports businesses in the discovery, integration and use … Continue reading Master Thesis Topics<\/span> Requirements and Notation for Information Supply Chains<\/h3>\n
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A Data Management Perspective on Information Security Frameworks<\/h3>\n
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Approaches for Big Data Management<\/h2>\n
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Analytics as a Service: Self-Service Analytics<\/h3>\n
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User Preference Models for Cloud Services<\/h3>\n
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