Data Mining

Higher Education’s Steep Learning Curve to Ensure Data Availability

Provided by Veeam

Category Data Mining

Type White Paper

Length 4

Publish Date September 27 2016

Date posted November 23 2016

Overview

Higher Education Is An Industry In Transformation. Its customers fear rising
costs, even though many institutions face budget shortfalls, declining domestic enrollments, shrinking graduation rates and new competition from nontraditional learning sources.
Student demographics are also changing, and expectations for customer service are growing with an emphasis on more personalized and adaptive instruction. In response, schools are starting to think differently about what they teach and how they teach it. They are using technology to better attract and understand their students, collaborate with them, and engage them in their coursework.
The current higher-ed IT environment is characterized by new applications that generate more — and more varied — data. Users must have access 24/7 across multiple devices. At the same time, college and university IT staff continue to bear the burden of maintaining the security and availability of traditional applications, as
well as highly sensitive — and sometimes regulated — student, employee and research data.
Under these conditions, high-speed recovery, data loss avoidance, verified recoverability, leveraged data and complete visibility across the campus, including its satellite sites, have never been more critical for an institution.

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