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Governing self service analytics
| Content Provider | Scilit |
|---|---|
| Author | Clarke, Paul Tyrrell, Grace Nagle, Tadhg |
| Copyright Year | 2016 |
| Description | Journal: Journal of Decision Systems The governance of Data Consumers is a concept that is emerging in Self-Service Analytics environments. This paper provides a matrix that allows organisations to pre or post assess the relationship between Self-Service Analytics and the governance of Data Consumers. The authors used Grounded Theory methodology as the means of undertaking this research. In doing so, initial high-level concepts (Governance and Self-Service Analytics) were defined from the literature and further expanded upon through the course of the study. As a result, emerging sub-categories were identified and provided the basis of an assessment matrix for the governance of Self-Service Analytics (GOSSA). In addition, the framework also highlights four key types of governance: transitional, strategic, open, and sensitive. Moreover, as well as being a new tool for practitioners the study adds to a sparsely populated research domain. |
| Related Links | https://www.tandfonline.com/doi/pdf/10.1080/12460125.2016.1187385?needAccess=true |
| Ending Page | 159 |
| Page Count | 15 |
| Starting Page | 145 |
| ISSN | 12460125 |
| e-ISSN | 21167052 |
| DOI | 10.1080/12460125.2016.1187385 |
| Journal | Journal of Decision Systems |
| Issue Number | sup1 |
| Volume Number | 25 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2016-06-10 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Decision Systems Information and Library Science Data Governance Self-service Analytics Gossa Matrix |
| Content Type | Text |
| Subject | Management Information Systems Library and Information Sciences Software |
