Course Description

The half day training for those interested in student data will enable participants to create and share reports using the SUNY BI platform. Attendees will create custom data extracts from Student data (from campuses’ SIRIS submissions). An online training manual will be provided. Participants will learn how to create data queries and to share the results of those queries with others. The session will include information on the SUNY System Administration Student Enrollment data, but the skills learned will be transferable to other data such as Degrees Awarded, Student Term Section, Financial Aid, etc.

Dr. Stewart Dutfield

Following an international career spanning four decades in computers and telecommunications, Dr. Stewart Dutfield brings experience in business, technology, project management and leadership to increasing access, completion and success in Higher Education. Prior to his current role as an Analyst at SUNY System Administration, Stewart has served as teaching faculty at Marist College, Program Director at Excelsior College, and Department Chair at Columbia-Greene Community College. He enjoys constantly learning about aspects of campus operations, and strives to make the jobs of people in campus offices easier and more productive.

Course Description

This half day training course is open to people who have attended the introductory SUNY BI training class and who wish to learn how to address issues they have encountered in developing BI queries. The class will include a short review and then launch into more advanced features, with an emphasis on combining multiple queries on one or more BI subject area. Attendees are encouraged to bring a sample ad hoc report to develop during the class. The session will use on accessing the SUNY System Administration Enrollment and Degree data, but the skills learned will apply to other data such as Finance.

Course Description

This 3 month self-paced/asynchronous workshop is for those interested in using the SUNY BI interface to access student data enabling them to create and share reports using the SUNY BI platform. Upon completion of this coursework, participants will be able to create custom data extracts from Student data from campuses’ SIRIS submissions. Participants will learn how to create data queries and to share the results of those queries with others through the virtual instructions, videos and exercises provided through the Brightspace platform.

Completion of this introductory coursework is strongly advised prior to creating custom queries in the SUNY System Administration Data Warehouse.

Course Description

This 3 month self-paced/asynchronous workshop is for those interested in using the SUNY BI interface to access finance data enabling them to create and share reports using the SUNY BI platform. Upon completion of this coursework, participants will be able to create custom data extracts from data from the SUNY Finance data. Participants will learn how to create data queries and to share the results of those queries with others through the virtual instructions, videos and exercises provided through the Brightspace platform. The coursework will include information on the SUNY System Administration Finance Data Warehouse, but the skills learned will be transferable to other SUNY BI data sets. Please note that this workshop is for State Operated campuses only.

Completion of this introductory coursework is strongly advised prior to creating custom queries in the SUNY System Administration Data Warehouse.

Course Description

This 3 month self-paced/asynchronous workshop is open to people who have attended the introductory SUNY BI training class who wish to learn how to address issues they have encountered in developing BI queries. The workshop will include a short review and then launch into more advanced features, with an emphasis on combining multiple queries on one or more BI subject areas. The session will be focused on accessing the SUNY System Administration Enrollment and Degree data, but the skills learned will apply to other data such as Finance.