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The Office of Business Intelligence at Concordia University provides analytical decision support services to university administration and faculty as well as various other university constituents. Its primary function is to serve as a catalyst in the efficient collection, analysis, and dissemination of data pertaining to the university. It is the repository of all institutional related data. It also collaborates with the university’s Educational Effectiveness Committee in designing and implementing assessment systems for academic programs, co-curricular activities, and staff departments. The Office of Business Intelligence fulfills its mission by serving as the focal point of university data and by conducting and supporting various studies pertaining to institutional improvement. While a substantial amount of independent research is performed by the office, a significant amount of the office’s resources are devoted to the support of university administration, committees, departments, faculty, and staff.

Vision

The Office of Business Intelligence at Concordia University Irvine will be the trusted source of actionable insights and strategic guidance, empowering Concordia University’s stakeholders to make informed decisions and drive continuous improvement through the efficient collection, analysis, and dissemination of institutional data.

Values

Values for the Office of Business Intelligence at Concordia University guided by the Association for Institutional Research’s Statement of Ethical Principles:

Excellence: Striving for exceptional quality in data collection, analysis, and dissemination to provide accurate and reliable decision support services.
Collaboration: Foster partnerships and collaborative relationships with university administration, faculty, committees, and staff to promote effective assessment systems and institutional improvement.
Integrity: Uphold the highest standards of ethical conduct, confidentiality, and data security in handling and managing institutional data.
Innovation: Embrace innovative technologies and methodologies to enhance data collection, analysis, and reporting processes, staying at the forefront of business intelligence practices.
Accountability: Take responsibility for the accuracy, completeness, and timeliness of data collected and ensure transparency in reporting and communication with stakeholders.
Continuous Improvement: Strive for continuous learning and improvement in data collection methodologies, analytical techniques, and the delivery of decision support services to meet the evolving needs of the university.
Empowerment: Empower university stakeholders with the necessary knowledge and skills to effectively leverage data, fostering data literacy and promoting a data-informed culture throughout the institution.

Department Objectives/Assessment Plan

Objective: Evaluate the effectiveness of data collection processes

Assessment Methods:

Review data collection protocols and procedures to identify any gaps or inefficiencies
Conduct surveys or interviews with stakeholders to gather feedback on the ease, accuracy, and comprehensiveness of data collection
Analyze the timeliness and completeness of data collected compared to established targets

Assessment Methods:

Percentage of data collection protocols and procedures reviewed and updated
Stakeholder satisfaction survey results on data collection processes
Timeliness and completeness metrics of collected data

Objective: Assess the quality and usefulness of data analysis and reporting

Assessment Methods:

Evaluate the accuracy, relevance, and comprehensiveness of data analysis and reporting outputs
Conduct feedback sessions or interviews with key stakeholders to gather their perception of the usefulness and clarity of the provided insights
Compare the recommendations or decisions made based on data analysis with actual outcomes

Assessment Methods:

Accuracy and relevance of data analysis and reporting outputs
Stakeholder feedback on the usefulness and clarity of insights
Alignment between data-driven recommendations and actual outcomes

Objective: Measure the effectiveness of data dissemination processes

Assessment Methods:

Assess the accessibility and usability of disseminated data by conducting user testing or surveys
Monitor data dissemination timelines and evaluate the effectiveness of communication channels used
Gather feedback from stakeholders on the format and comprehensibility of disseminated data

Assessment Methods:

User satisfaction ratings on data accessibility and usability
Timeliness metrics for data dissemination
Stakeholder feedback on the format and comprehensibility of disseminated data

Objective: Evaluate the impact of the Office of Business Intelligence’s collaboration with University committees

Assessment Methods:

Review the design and implementation of assessment systems for academic programs, co-curricular activities, and staff departments
Analyze the extent to which assessment results are used for decision-making and improvement
Collect feedback from stakeholders on the value and effectiveness of collaboration efforts

Assessment Methods:

Assessment system design and implementation review results
Utilization of assessment results in decision-making
Stakeholder feedback on the value and effectiveness of collaboration efforts

Objective: Assess the impact of the Office of Business Intelligence’s research initiatives

Assessment Methods:

Analyze the outcomes and impacts of independent research studies conducted by the office
Collect feedback from stakeholders on the relevance and applicability of research findings
Monitor the adoption or implementation of recommendations from research studies

Assessment Methods:

Outcomes and impacts of independent research studies
Stakeholder feedback on the relevance and applicability of research findings
Adoption or implementation rates of research recommendations

Objective: Measure the level of data literacy and awareness among university stakeholders

Assessment Methods:

Conduct surveys or assessments to gauge the knowledge and understanding of data-related concepts among stakeholders
Evaluate the effectiveness of data literacy training programs or resources provided
Monitor the utilization of data-informed decision-making practices by stakeholders

Assessment Methods:

Data literacy assessment results
Evaluation of data literacy training programs or resources

Committee/Taskforce Work

Academic Council – current
Educational Effectiveness Committee – current
Retention and Persistence Committee – current
Institutional Review Board (IRB) – current
Data Governance Committee – current
Data Stewardship Working Group – current
DGC: Information Quality Taskforce – current
DGC: Policies and Standards – current
LMS Review Taskforce – concluded
Cost of Instruction Taskforce – concluded
Program Prioritization Taskforce – concluded

Get in Touch

To submit a data request, please visit the Concordia Helpdesk. From there, choose the Data and Technology Department and underneath that, the Data/Reporting/Email Blast Category.