Does a low or no code platform fit into your institution’s enterprise architecture strategy?

Is a low or no code platform right for your organization?
Low code and no code platforms provide ways to create applications through graphical user interfaces and configuration rather than the traditional practice of software developers writing lines of code. In his latest blog, Jason Pyle shares how these platforms are expanding application development and capabilities in higher education.
06
April
Is a low or no code platform right for your organization?

Does a low or no code platform fit into your institution’s enterprise architecture strategy?

Low code and no code platforms provide ways to create applications through graphical user interfaces and configuration rather than the traditional practice of software developers writing lines of code. In his latest blog, Jason Pyle shares how these platforms are expanding application development and capabilities in higher education.

How Higher Education Institutions Can Take Control of Their Data

How Higher Education Institutions Can Take Control of Their Data
There is a lot of confusion in higher education about the term “data governance.” Is it the same as data quality or data management? We recently demystified data governance and explained the key pillars of any data governance initiative including data responsibility, data quality, data privacy, and data security.
18
February
How Higher Education Institutions Can Take Control of Their Data

How Higher Education Institutions Can Take Control of Their Data

There is a lot of confusion in higher education about the term “data governance.” Is it the same as data quality or data management? We recently demystified data governance and explained the key pillars of any data governance initiative including data responsibility, data quality, data privacy, and data security.

Demystifying Data Governance for Higher Education Institutions

Demystifying Data Governance for Higher Education Institutions
There’s a lot of confusion in higher education about what data governance is. Is it security, is it policy, is it data quality? In this blog, we demystify data governance for higher education institutions, explore the signs that your institution may have a data governance problem, and examine the key pillars of data governance.
11
February
Demystifying Data Governance for Higher Education Institutions

Demystifying Data Governance for Higher Education Institutions

There’s a lot of confusion in higher education about what data governance is. Is it security, is it policy, is it data quality? In this blog, we demystify data governance for higher education institutions, explore the signs that your institution may have a data governance problem, and examine the key pillars of data governance.

Coffee Talk: Microcredential in Data Governance

Microcredential in Data Governance
Higher Digital President Joe Gottlieb sat down with colleague Henry DeVries, VP and Principal Consultant of Analytics and Finance, to chat about data governance.
02
December
Microcredential in Data Governance

Coffee Talk: Microcredential in Data Governance

Higher Digital President Joe Gottlieb sat down with colleague Henry DeVries, VP and Principal Consultant of Analytics and Finance, to chat about data governance.

Higher Education Needs Data Governance To Support Better Decision-making Informed by Data

Data Governance in Higher Education
The requirement for data-informed decisions extends across the campus, including academic advising for student success; donor selection for advancement fund-raising campaign; energy conservation and facilities utilization programming; budget allocation and expenditure control. However, each of these examples contains a major assumption—that the underlying data are both trustworthy and the highest quality available.
15
April
Data Governance in Higher Education

Higher Education Needs Data Governance To Support Better Decision-making Informed by Data

The requirement for data-informed decisions extends across the campus, including academic advising for student success; donor selection for advancement fund-raising campaign; energy conservation and facilities utilization programming; budget allocation and expenditure control. However, each of these examples contains a major assumption—that the underlying data are both trustworthy and the highest quality available.