Implementing metrics for managing software R&D projects
Uusimäki, Sanna (2014)
2014
Tietojohtamisen koulutusohjelma
Talouden ja rakentamisen tiedekunta - Faculty of Business and Built Environment
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Hyväksymispäivämäärä
2014-06-04
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201406061265
https://urn.fi/URN:NBN:fi:tty-201406061265
Tiivistelmä
The objective of this thesis is to research how measuring systems are implemented when metrics have already been selected and what needs to be taken into account when measuring in business environment. Operative metrics for project management of a research and development (R&D) teams will be implemented to support this thesis. The thesis reconciles typical usages for these metrics, which will be examined by researching metrics in general. Research and development implementation is assumed to have similarities with metric implementation.
End result of this thesis is to confirm or revoke claims in literature regarding research and development implementation. This thesis, with support of theoretical backgrounds, implements metrics selected by a company. The material in this thesis relies on a literature review and observations made during the empirical research. The implementation project offers access to a real live business environment for the researcher to observe different process steps and thus enables this research. Interviews are used to make observations during the implementation phase at the beginning of the project and during the training period at the end.
As a product of this thesis a dashboard was created for a R&D teams for operative usages. The main purpose of the dashboard is to be a tool for project management, but it also acts as a part of larger business intelligence system. The thesis created example interpretation guides for each metric implemented. The thesis observed that measurement system implementations have partially converging practices with business intelligence system implementations. The implementation process requires comprehensive support if the metrics should be widely aggregated through multiple business units. Even a small-scale visual dashboard was found to help to perceive unit operations.
End result of this thesis is to confirm or revoke claims in literature regarding research and development implementation. This thesis, with support of theoretical backgrounds, implements metrics selected by a company. The material in this thesis relies on a literature review and observations made during the empirical research. The implementation project offers access to a real live business environment for the researcher to observe different process steps and thus enables this research. Interviews are used to make observations during the implementation phase at the beginning of the project and during the training period at the end.
As a product of this thesis a dashboard was created for a R&D teams for operative usages. The main purpose of the dashboard is to be a tool for project management, but it also acts as a part of larger business intelligence system. The thesis created example interpretation guides for each metric implemented. The thesis observed that measurement system implementations have partially converging practices with business intelligence system implementations. The implementation process requires comprehensive support if the metrics should be widely aggregated through multiple business units. Even a small-scale visual dashboard was found to help to perceive unit operations.