The Role of an Enterprise Architect in an SIS Project

Driving SIS Replacement through Enterprise Architecture
As part of their digital transformation strategy, many institutions are currently either considering or executing a Student Information System (SIS) migration or reimplementation (i.e. an SIS project)—even during the COVID-19 pandemic.  The Enterprise Architect (EA) plays a key role in making the decision between a migration and reimplementation.  Additionally, the EA will play a key ...
18
November
Driving SIS Replacement through Enterprise Architecture

The Role of an Enterprise Architect in an SIS Project

As part of their digital transformation strategy, many institutions are currently either considering or executing a Student Information System (SIS) migration or reimplementation (i.e. an SIS project)—even during the COVID-19 pandemic.  The Enterprise Architect (EA) plays a key role in making the decision between a migration and reimplementation.  Additionally, the EA will play a key ...

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.