Higher education faces an unprecedented need for agility, and data-informed decision-making will be at its core. According to a survey conducted by the National Association of Student Personnel Administrators, 80% of institutions agree that they must continue to invest in student success analytics to stay competitive, but a staggering 67% fail to effectively use the data collected by their Student Information Systems (SIS). Unused data is lost potential. The role of Analytic Solution For Higher Education is to maximize the value of resources and stay ahead of constituent needs. The ability to create strategic plans, execute them efficiently, and analyze their results will differentiate institutions and proactively improve student outcomes.

If modern systems are the vehicles for success, data is the fuel. Applications in the cloudand SaaS help unify people, processes, and technology with a consistent and intentional foundation on which institutions can continuously grow. Wherever your future vision takes you, cloud and SaaS-powered software will get you there seamlessly.

Getting started with Analytic Solution For Higher Education programs are complex and need to account for data from all internal IT systems, in addition to information from various external sources. All that data can be difficult to wrangle into coherent insights that directly impact departmental efficiency and student success. Often, we start by trying to solve for the tip of the iceberg by creating an analytic or report, but forget the bigger picture of setting up data-, reporting-, and analytics-at-scale.

Holistic data solutions are more than off-the-shelf tools. They’re institutional strategies that can transform processes on every level. Because of this, it is vital to set up the appropriate infrastructure, supporting data models, application programming interfaces (APIs), security and privacy considerations, and tools.

Breaking down data-related spending

The Analytic Solution For Higher Education is With an estimated 74% of higher education schools facing financial challenges in 2021, most colleges and universities are looking to do more with less. Amid the uncertainty of the ongoing pandemic, optimizing existing technology and resources is crucial for achieving institutional goals and improving student outcomes under any circumstance.

To be successful, higher education needs to invest in data strategy, a tactic that allows institutions to understand business needs, define use cases, and build architecture to support a long-term vision.

McKinsey & Company describes four key areas to factor in when budgeting for data-related spending:

  • Data sourcing: cost associated with procuring data from customers and third-party vendors
  • Data architecture: cost associated with data infrastructure (procuring software and hardware) and data engineering (building and maintaining infrastructural approach)
  • Data governance: cost of data-quality monitoring, remediation, and maintaining data-governance artifacts
  • Data consumption: cost associated with data analysis and report generation (including spending data access and cleanup)

While the price of analytics programs may seem steep, an investment in IT modernizationultimately pays for itself by creating a sturdy foundation for both present and future success. Plus, when these initiatives work in harmony, they can reduce the operational costs of each individual component. Cloud-based solutions, for example, can provide the tools and infrastructure for processing vast amounts of high-quality data without increasing headcount or on-premises hardware, therefore making analytics-at-scale feasible for institutions of all sizes.

The importance of data governance

Analytic Solution For Higher Education Data is sensitive, particularly in higher education, where students trust institutions to use their personal information responsibly. It is critical to foster a culture of data-driven decision-making, as well as a shared responsibility for governance to ensure appropriate access.

Simply put, data governance encompasses all systems used to manage data, including processes for assigning ownership to information, ensuring access for the right people, continuously vetting the quality, and enforcing its security. While these processes describe how institutions “govern” their data, the end goal is to use that data to better govern the institution, leveraging insights to drive efficiency and growth.

The International Data Corporation (IDC) found that only 18% of data professionals’ time is spent analyzing information and delivering valuable business outcomes. Instead, they spend 34% of their time preparing data, and 29% of their time protecting data. This is not only inefficient—it’s risky. When people can’t easily find the data they’re looking for, they’re prone to recreate it—or track it down from an unvetted source—ultimately propagating multiple versions of “the truth” and introducing liabilities.

Not all Analytic Solution For Higher Education data sources are created equal. Knowing where your data is coming from builds confidence in your decision-making and helps streamline workflows. As you map your sources, ensure that the appropriate stakeholders have access to information they can trust.

In addition to choosing reliable data sources, it is equally important to document what type of data is being collected. Robust metadata will help maintain regulatory compliance with existing and upcoming data classification laws, while also beefing up protections for sensitive information. In this way, data governance works in tandem with cybersecurity to keep information safe and institutions running optimally.

It is important to protect information while still allowing it to move freely through the organization. The intent is not to hoard data, but to ensure that it is managed, governed, defined, and available to the masses. A democratized data governance strategy avoids risks inherent to moving data from one local machine to another by providing a reliable platform with security controls in place, including group- and role-based access.

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