Show simple item record

Development of Competency Models for Business Intelligence, Data Engineering and Data Science Roles at a Professional Services Firm

dc.contributor.authorBall, Donald B.
dc.contributor.authorRyan, Daniel
dc.date.accessioned2024-04-04T02:09:37Z
dc.date.available2024-04-04T02:09:37Z
dc.date.issued2023-12
dc.identifier.urihttp://hdl.handle.net/1803/18664
dc.descriptionLeadership and Learning in Organizations capstone project
dc.description.abstractResultant is a modern professional services consulting firm that seeks to define, aggregate, and assess the knowledge, skills, attributes, and other characteristics (KSAOs) of its Professional Services employees, including Business Intelligence, Data Engineer, and Data Scientist roles, to manage better and staff projects. We created competency frameworks for each of these roles through iterative data collection and analysis that included organization documents and interviews with subject matter experts and high-performing employees. Based on our findings, we recommend (1) the competency frameworks be reviewed on an annual basis and revised according to the established governance practices; (2) that the frameworks include both hard and soft skill consulting competencies as client relations are a critical differentiator between junior and senior employees and project success; (3) and that the frameworks be used to align employee hiring, training, evaluation, promotion, and compensation as a way to achieve organization strategy better.
dc.subjectCompetency Models
dc.subjectSkill Frameworks
dc.subjectBusiness Intelligence
dc.subjectData Engineer
dc.subjectData Scientist
dc.titleDevelopment of Competency Models for Business Intelligence, Data Engineering and Data Science Roles at a Professional Services Firm
dc.typethesis


Files in this item

Icon

This item appears in the following Collection(s)

Show simple item record