skip to primary navigationskip to content

Cambridge Service Alliance

At the forefront of service transformation in the digital era

Studying at Cambridge

Search results

86 items matching your search terms.
Filter the results.
Item type
























New items since



Sort by relevance · date (newest first) · alphabetically
Urbanise Conference Panelist
Mohamed Zaki was one of the panelists at a recent Urbanise conference.
Located in News
Big Data Presentation to the National Virtual Incubator Network
Alliance Senior Researcher, Mohamed Zaki, presented at the UK-wide NVI Network event, which explored how Big Data is offering key insights and emerging trends in data which is being used for medical and business innovation.
Located in News
Mohamed presents at NEMODE session at BAM 2014
Mohamed Zaki was invited by EPSRC Nemode to participate and present the data driven business model work at Technologies and Business Models in data-intensive economies session, of the British Academy of Management (BAM) Conference, held in Belfast in September
Located in News
Optimising Asset Management within Complex Service Networks: The Role of Data
The May 2014 Paper on 'Optimising Asset Management within Complex Service Networks: The Role of Data' by Mohamed Zaki and Andy Neely
Located in News
FileOptimising Asset Management within Complex Service Networks: The Role of Data
This is a working paper by Mohamed Zaki and Andy Neely. This paper reports a study which provides a series of implications that may be particularly helpful to companies considering ‘big data’ for their businesses. Considerable research effort has been expended on understanding how firms create and capture value from analytics in single organisations, focusing only on technical issues. Therefore, this paper proposes a diagnostic framework for optimising and improving complex services in organisations. The framework addresses key factors such as enablers, contextual barriers beyond the technical issues, value and benefits, and key dimensions of data necessary to optimise the delivery of their complex services. More specifically, the study focuses on understanding how asset heavy firms can make better use of data to optimise repair service delivery by using proactive condition monitoring services.
Located in Resources / Downloads / Monthly Papers
A Taxonomy of Data-driven Business Models used by Start-up Firms
The March 2014 Paper on 'Big Data for Big Business? A Taxonomy of Data-driven Business Models used by Start-up Firms' by Philipp Max Hartmann, Mohamed Zaki, Niels Feldmann and Andy Neely
Located in News