6 Technology Trends That Redefine Data Analytics in Higher Ed

Shefali Vasave | July 20, 2022 | 862 views | Read Time : 02:00 min

6 Technology Trends That Redefine Data Analytics in Higher Ed
Data and analytics have become a prominent strategy across industries to promote informed decision-making. Riding this wave is the higher education industry. Recently, the higher education IT association inaugurated a data and analytics edition of the Horizon Report, a report that provides a deep analysis of technology trends and practices that impact higher ed institutions. The report confirms that data analytics is an emerging alternative for strategic decision-making and planning.

According to the report, here are the six practices and technologies that will have the greatest impact:

Data Management
Data management and governance includes automating workflow, managing access, consent management, data privacy, and data integrity management. According to Educause, these data processes form an essential part of institutional success and security. Despite this, many institutions rely on multiple committees instead of a dedicated team for data management and governance. This gap is an opportunity for data and analytics solution providers to meet and improve data management in higher ed.

Consolidating Data Sources
Data silos are a common concern in higher ed institutions. The tremendous volumes of data that institutions have stored are never leveraged due to the divide between systems. Unifying these data sources will help higher education institutions build a seamless ecosystem that supports their administrative as well as remote instruction platforms.

Data Architecture
High-end analytics is incomplete without smart data architecture. The scalability and flexibility of the data architecture enables higher ed institutes to be agile and use data effectively to fuel decision-making. Establishing a modern data architecture will be at the top of the list for higher ed institutions.

Data Literacy
Equipping decision-makers and stakeholders with the necessary skills to interpret the insights generated by the data is crucial to the success of the organization. Stakeholders across the institutions in higher education, from management leaders to administrators and teachers, need data literacy training to leverage data efficiently.

DEI-based Data and Analytics
Data analytics professionals are putting more emphasis on diversity, equity, and inclusion (DEI) to drive how they retrieve, analyze, and process data. This will allow higher ed institutions to capitalize on data and analytics to promote their DEI policies, boost equity, and track progress to improve outcomes.

Enhancing Institutions’ Data Analytics
The growing demand for meaningful, and insight-driven data is pressing data professionals to enhance their capabilities and contribute to the institutional capabilities to use data effectively. Institutional leaders can start considering what purpose data analytics might play in the future if stronger procedures are in place. Collaboration between institutions will be more secure, useful, and advantageous. Analytics administrators can anticipate greater outcomes for students, instructors, and staff as data analytics procedures advance.

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