Higher education leaders are challenged with uniting scattered data to provide useful, relevant insights.

Huron is equipped to help colleges and universities with the development of an analytics master plan, as well as assist with the deployment of all or any of the key phases.

Data is scattered everywhere throughout a modern university — from the adviser’s office to the classroom or from the research lab to the finance office.

Leaders can address this challenge with a purposeful road map — an analytics master plan. This plan is a key tool in building a data-driven organization and making better decisions.

Whether an organization seeks to establish data and analytics capabilities completely in-house or with an external partner, institutions need to find a way to identify, govern, report, and manage the data. This journey is captured in four phases in the analytics master plan.

Huron works closely with leaders to assess an institution’s strategic analytics capabilities and develop a road map that addresses operational and management needs. This process includes:

• Identifying reporting requirements.
• Defining the prioritization approach for development and requirements gathering.
• Defining and aligning on the key metric definitions.
• Evaluating the benefit, complexity, and organizational readiness related to identified insights.

Clear data governance requires both a framework and road map for implementation. Once objectives are established, institutions can continue with the following steps:

• Identify a master data domain approach and prioritization.
• Recommend standardized and repeatable processes.
• Build consensus around consistent roles and responsibilities.
• Determine project versus institution data governance goals.

Organizational transformation in higher education may be strategy-led or technology-enabled, but it is people-driven. Successfully transforming to a data-driven organization requires faculty, staff, and students to buy into this vision and champion it further. Huron understands that this means tailoring the principles of leading-class reporting organizations to the culture of the institution, balancing central leadership and local knowledge in a way that optimizes coordination, the ability to continually improve, and the accessibility of information to those leaders, managers, and researchers.

• Determine the organizational model and process for delivering reports and sharing information across the institution.
• Align the reporting organization with data stewards and analytics goals.

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Make your data more effective and accessible with the following:

• Assess data management, reporting, and analytics processes in the current state.
• Develop a pathway to future-state data management, reporting, and analytics capabilities.
• Rationalize and consolidate existing technologies.
• Recommend and evaluate technologies to address gaps.
• Determine the impact of moving to enterprise platforms for systems integration, data warehousing, and data visualization and develop a road map for modernization.

Huron’s higher education performance analytics cloud suite is designed to help colleges and universities accelerate their analytics journey.

Learn more about Huron’s education performance analytics products currently available for client use:

• Academic portfolio performance
• Student lifecycle insights
• Research portfolio and productivity
• Workforce lifecycle analytics
• Staff productivity
• Institutional financial performance
• Procurement and spend management
• Benchmarking

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