Westward Ho: Westward Ho: New Frontiers New Frontiers

USG Academic Data Mart Project UpdateUSG Academic Data Mart Project UpdateGeorgia Summit (September 8-10, 2004)Georgia Summit (September 8-10, 2004)

Savannah, GA Savannah, GA

Presented by: Charles Gilbreath (GSU) and Debbie Head (KSU)Presented by: Charles Gilbreath (GSU) and Debbie Head (KSU)

What A Data Warehouse What A Data Warehouse Is Not!Is Not!

Transactional systems are designed to Transactional systems are designed to respond rapidly to individual events such as respond rapidly to individual events such as registering for a course, paying fees, etc.registering for a course, paying fees, etc.

Transactional structure is highly normalized Transactional structure is highly normalized (broken into many small pieces)(broken into many small pieces)

Transactional systems are not designed for Transactional systems are not designed for queriesqueries

What a Data Warehouse What a Data Warehouse Is!Is!

A data warehouse is a set of tables that are A data warehouse is a set of tables that are designed to respond quickly to queries.designed to respond quickly to queries.

They are denormalized (data may be repeated They are denormalized (data may be repeated within a table)within a table)

They are designed to store history.They are designed to store history. They are designed to bring pieces together They are designed to bring pieces together

from different transactional systems, such as from different transactional systems, such as Student Information, Human Resources, Student Information, Human Resources, Facilities, etc.Facilities, etc.

They may contain multiple “data marts” that They may contain multiple “data marts” that store related datastore related data

USG Academic Data Mart USG Academic Data Mart (ADM) Defined(ADM) Defined

The USG Academic data mart is The USG Academic data mart is designed to incorporate the institutional designed to incorporate the institutional data from the legacy systems of SIRS, data from the legacy systems of SIRS, CIR, FARS, RUR, Graduate Salary CIR, FARS, RUR, Graduate Salary Survey, High School Feedback, and Survey, High School Feedback, and Learning Support/Core Curriculum. Learning Support/Core Curriculum.

The data collected in the Academic Data The data collected in the Academic Data Mart can be used by institutions for both Mart can be used by institutions for both local and official reporting needs.local and official reporting needs.

ADM in simple terms….ADM in simple terms….

Final objective of Enterprise-wide data Final objective of Enterprise-wide data warehouse will be a hybrid of old reporting warehouse will be a hybrid of old reporting systems (SIRS, CIR ,etc) with new data systems (SIRS, CIR ,etc) with new data structures that will consider institutional needs structures that will consider institutional needs

Transactional systems (Banner) will feed the Transactional systems (Banner) will feed the data directly to the warehouse.data directly to the warehouse.

Data elements are arranged in tables in a Data elements are arranged in tables in a database managed by OIIT. Data structures database managed by OIIT. Data structures reflect institutional needs.reflect institutional needs.

ADM expectationsADM expectations

The data fields were selected initially based on The data fields were selected initially based on the data fed to SIRS and CIR. the data fed to SIRS and CIR.

It will expand beyond those elements when it It will expand beyond those elements when it proves its functionalityproves its functionality

Still working on how to load longitudinal dataStill working on how to load longitudinal data Canned reports, SER for example, will be Canned reports, SER for example, will be

availableavailable Sharing of reports generated by others in our Sharing of reports generated by others in our

group so you won’t have to “recreate the group so you won’t have to “recreate the wheel” each time.wheel” each time.

Why Does IRP Care about Why Does IRP Care about the ADM?the ADM?

For institutions with limited resources, people and For institutions with limited resources, people and equipment, they can access their own data to do equipment, they can access their own data to do internal analyses as desired.internal analyses as desired.

Brings the USG more in line with the current Brings the USG more in line with the current technology in terms of housing and using datatechnology in terms of housing and using data

Takes the “data jail” concept and lets us actually get Takes the “data jail” concept and lets us actually get some data outsome data out

Hopefully brings some consistency and understanding Hopefully brings some consistency and understanding about what goes into reportingabout what goes into reporting

Reporting should become easier.Reporting should become easier. Data warehouse tables should match production tables Data warehouse tables should match production tables

Data Warehouse Data Warehouse StructureStructure

ERD – Entity Relationship Diagrams show the ERD – Entity Relationship Diagrams show the main table (FACT table) and how other tables main table (FACT table) and how other tables (Dimensions) connect to the main table. It is (Dimensions) connect to the main table. It is a detailed scheme of the many elements a detailed scheme of the many elements within each component within each component

Find these at this link:Find these at this link:

http://www.usg.edu/usgweb/sitcap/usg123_aca/index.phtml?id=pmd/pmd_br

What data are What data are accessible?accessible?

There are 5 different data components of There are 5 different data components of the ADM organized into “data marts” that the ADM organized into “data marts” that are collections of associated data:are collections of associated data: Class SessionClass Session – (Class schedule/catalog) – (Class schedule/catalog) Student ProfileStudent Profile – (Demographics) – (Demographics) Course EnrollmentCourse Enrollment – (Registrations) – (Registrations) Student Term Enrollment – Student Term Enrollment – (Student (Student

Record)Record) Student Test Results – Student Test Results – (Test scores)(Test scores)

Class Session Class Session

Class Session data are extracted from Class Session data are extracted from BannerBanner Includes “course catalog” data such as Includes “course catalog” data such as

Course number, section, times and days Course number, section, times and days offered, credit hour value of the courseoffered, credit hour value of the course

Does not include credit hours generated or Does not include credit hours generated or number of students enrollednumber of students enrolled

Student ProfileStudent Profile

This data mart will provide much of SIRS This data mart will provide much of SIRS data.data.

Includes many of the SIRS data fieldsIncludes many of the SIRS data fields You can access and report and clean the You can access and report and clean the

data prior to releasing it to OIIT.data prior to releasing it to OIIT. Editing reports should let us “scrub” it Editing reports should let us “scrub” it

better before it goes into the “official” better before it goes into the “official” warehousewarehouse

Student Course Student Course EnrollmentEnrollment

Will load some of CIR enrollment dataWill load some of CIR enrollment data Will be the source for Credit Hour Will be the source for Credit Hour

Production Reports by the USG.Production Reports by the USG. Will link to the Class Session Component Will link to the Class Session Component

so that individual student enrollment so that individual student enrollment information can be accessedinformation can be accessed

Student Term EnrollmentStudent Term Enrollment

Contains data on each student enrolled in Contains data on each student enrolled in one or more courses in an academic termone or more courses in an academic term

Contains cumulative data for each studentContains cumulative data for each student

Is linked to demographic, geographic, etc. Is linked to demographic, geographic, etc. data for each student.data for each student.

Student Test ResultsStudent Test Results

Contains information on detail level of test Contains information on detail level of test results as recorded in Banner results as recorded in Banner

Allows selection on individual test types (ACT, Allows selection on individual test types (ACT, SATV, SATM, etc.)SATV, SATM, etc.)

Allows selection by student characteristics Allows selection by student characteristics (ethnicity, sex, etc.)(ethnicity, sex, etc.)

Getting Data Back OutGetting Data Back Out

Business Objects – pre-selected sets of Business Objects – pre-selected sets of datadata

What makes sense in terms of types of What makes sense in terms of types of information we (IRP) need to know?information we (IRP) need to know? For example: A predefined First-time Full-For example: A predefined First-time Full-

time Freshmen grouping so average SAT, time Freshmen grouping so average SAT, gpas, ages, ethnicity, gender, CPC, LSP gpas, ages, ethnicity, gender, CPC, LSP could be gathered just about that group?could be gathered just about that group?

What else?What else?

Process for Meeting IRP’s Process for Meeting IRP’s needsneeds

Identify data needs and generate list of Identify data needs and generate list of desired reports desired reports

Timetable for us and OIITTimetable for us and OIIT

What is review process for requests of What is review process for requests of reports? (Does IRP recommend a reports? (Does IRP recommend a standing data warehouse committee?)standing data warehouse committee?)

Standing Data Standing Data Warehouse CommitteeWarehouse Committee

Identify data needs and pass on to report developers Identify data needs and pass on to report developers (Some developers may be OIIT and some may be IRP (Some developers may be OIIT and some may be IRP members)members)

Facilitate sharing reportsFacilitate sharing reports

Develop a process for recommending changes to data Develop a process for recommending changes to data warehouse structurewarehouse structure

Members reflect data warehouse user communityMembers reflect data warehouse user community

Finding Information Finding Information About What is in the About What is in the ADM!ADM!

http://www.usg.edu/usgweb/sitcap/http://www.usg.edu/usgweb/sitcap/

ERD Web siteERD Web site

Using DiscovererUsing Discoverer

Reporting tool provided by OIIT Reporting tool provided by OIIT Administered at system levelAdministered at system level Allows us to see our own institutional dataAllows us to see our own institutional data Can build our own ad hoc reportsCan build our own ad hoc reports If a report that would be beneficial to all, submit If a report that would be beneficial to all, submit

it to committee for review and approval to be it to committee for review and approval to be put in the master list of available reportsput in the master list of available reports

Round the campfireRound the campfire

Questions, comments, suggestionsQuestions, comments, suggestions

Meet the trail bosses of the ADM:Meet the trail bosses of the ADM: Lori JarrardLori Jarrard

Glenn FernandezGlenn Fernandez