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IDUG AgendaInstitutional Data Users Group
MAUI DW EnhancementsAdmissions
Adam Pyatt, Information Technology ServicesStudent Records
Bill Evanson , Information Technology ServicesDave Martin , Information Technology Services
BillingDan Roach , Information Technology Services
Architecture/TechnicalEric Hudson, Information Technology Services
MAUI DW: Admissions
Institutional Data Users Group
Adam PyattLead Application Developer Administrative Information Systems, ITS
Institutional Data Users GroupInstitutional Data Users Group
MAUI DW: Admissions
New SAT Test as of March 1st, 2016 SAT from 3 sections scores to 2 sections SAT Critical Reading and SAT Writing has been replace by
Evidence Based Reading Writing
Concordance There is no direct path from the new test to ACT SAT created a path from SAT1 to SAT2 and vice versa
Institutional Data Users Group
MAUI DW: Admissions
SAT offers students a number of options to view the concordant score Apps available in Google and Apple stores Online
Institutional Data Users Group
MAUI DW: Admissions
ACT has not been quiet on its displeasure with SAT using the old concordance to build a bridge to the new SAT2 test
“To arrive at the ACT concordance, the College Board appears to have used a technique called “chained concordance,” which makes links between the new SAT and the old SAT, and then from the old SAT to the ACT. It therefore claims to be able to interpret scores from the revamped SAT relative to the tried-and-true ACT.”
“Speaking for ACT, we’re not having it. And neither should you.”
(Marten Roorda, CEO of ACT )May 12, 2016https://www.washingtonpost.com/news/grade-point/wp/2016/05/12/whats-a-college-test-score-worth-an-sat-vs-act-dispute/
Institutional Data Users Group
SAT Concordance Examples
SAT2 SAT ACT
1100 1020 22
1200 1130 25
1300 1230 27
1400 1340 30
1500 1460 33
1600 1600 36
Institutional Data Users Group
SAT Data in the Warehouse
SAT scores are in the following tables ACT concordances now available
TEST_STUD_SCORE_SAT
TEST_STUD_SCORE_SAT2
Institutional Data Users Group
SAT Data in the Warehouse
TEST_STUD_SCORE_EVAL_PIVOT These are the test scores used for evaluation For SAT, SAT2, & ACT
Highest test score is being extracted
For GRE & GMAT Most recent test score is being extracted
ACT concordant scores available for SAT Sections and best overall
Institutional Data Users Group
Admissions Data Updates
INST_INSTITUTION Institution Name, City, County, State, and Country Eliminates most needs to join to mstr_org
MSTR_POSTAL_CD_ATTR Latitude and Longitude Miles to Iowa, UNI, and ISU
Core Based Statistical Areas Geographic area that consists of one or more counties (or equivalents) anchored by an urban
center of at least 10,000 people plus adjacent counties that are socioeconomically tied to the urban center by commuting
Admissions will be utilizing this data to create targeting marketing campaigns to markets. Perhaps a different campaign to Dallas/Ft. Worth vs Cincinnati
MSTR_CBSA_LU MSTR_CSA_LU
ACAD_CAMPUS_STATUS Tuition Residency Group & True Residency Group Values ( Resident, Non-Resident, Non-Resident International )
BI=MAUI DW: Student RecordsInstitutional Data Users Group
Bill EvansonLead Application Developer Administrative Information Systems, ITSDave MartinSenior Application Developer Administrative Information Systems, ITS
Institutional Data Users Group
STUDENT RECORD TABLES
SADV_ADVISOR SADV_ADVISOR_POS STUD_POS_ADVISOR ACAD_CRSE_SECTION_GRADE ACAD_GRADE_RECORD STUD_GPA_HOUR_PIVOT DEGR_AWARD_RECORD DEGR_AWARD_POS_RECORD ACAD_PERSISTENCE ACAD_PERSISTENCE_YEAR ACAD_PERSISTENCE_SESSION
Institutional Data Users Group
SADV_ADVISOR
ADVISOR_NAME ADVISOR_MASTER_ID ADVISOR_UNIVERSITY_ID IS_ADVISING_CTR STATUS_ENA Bradley 1332147 00038375 N ACTIVEA Odgaard 1657621 00080548 N ACTIVEAGEP Summer Program 0 (null) N ACTIVEAaron Stump 2323323 00662521 N ACTIVEAcademic Advising Center 0 (null) Y ACTIVEAccounting 0 (null) N ACTIVEAdam Miller 3486979 00774721 N ACTIVEAdam Ward 3485811 00774526 N INACTIVEAdi Hastings 1325281 00103129 N INACTIVEAdria Haluszka 3128942 00736070 N INACTIVE
Institutional Data Users Group
SADV_ADVISOR_POS
ADVISOR_NAME PGM_OF_STUDY_ID PGM_COLL_KEY LVL_OF_STUDY DECL_TYPE OBJ OBJ_TYPE PGM_DESCA Bradley 219 E U MAJ BSE B Civil EngineeringA Bradley 220 E U MAJ BSE B Civil EngineeringA Bradley 221 E U MAJ BSE B Civil EngineeringA Bradley 225 E U MAJ BSE B Civil EngineeringA Bradley 226 E U MAJ BSE B Civil EngineeringA Bradley 228 E U MAJ BSE B Civil EngineeringA Bradley 229 E U MAJ BSE B Civil EngineeringA Bradley 230 E U MAJ BSE B Civil EngineeringA Bradley 233 E U MAJ BSE B Civil EngineeringA Bradley 234 E U MAJ BSE B Civil EngineeringA Bradley 237 E U MAJ BSE B Civil EngineeringA Bradley 238 E U MAJ BSE B Civil EngineeringA Bradley 240 E U MAJ BSE B Civil EngineeringA Bradley 241 E U MAJ BSE B Civil EngineeringA Bradley 242 E U MAJ BSE B Civil EngineeringA Bradley 451 G G MAJ PI O Civil and Environmental EngineeringA Bradley 537 G G MAJ MS M Civil and Environmental EngineeringA Bradley 538 G G MAJ MS M Civil and Environmental EngineeringA Bradley 539 G G MAJ PHD D Civil and Environmental Engineering
A Bradley 967 E U NONDEG NONE O Engineering Non-degree Student
Institutional Data Users Group
STUD_POS_ADVISOR
UNIVERSITY_ID MASTER_ID IS_ACADEMIC ADVISOR_NAME STUDENT_ID00713017 2445995 Y A Bradley 62881900788929 3433010 Y A Bradley 157321200818841 3585557 Y A Bradley 171797800624646 2098777 Y A Bradley 42473300699646 2733606 Y A Bradley 88545101033606 3781373 Y A Bradley 191109700651794 2271149 Y A Bradley 43415200725979 2969271 Y A Bradley 111395101110542 3933120 Y A Bradley 205245700830513 3812383 Y A Bradley 193829800752529 3272438 Y A Bradley 139399200829210 2839056 Y A Bradley 98702201098143 4862597 Y A Bradley 238357601114923 4842819 Y A Bradley 236431001126693 5270411 Y A Bradley 276662700818841 3585557 Y A Bradley 1717978
Institutional Data Users Group
STUD_GPA_HOUR_PIVOT
Pivoting the stud_gpa_hour simplifies queries to retrieve hours, gpa, and points data
We pivoted rows from STUD_GPA_HOUR to columns on this table for cum and term values so that those values are all available in one row per student per level of study
So student could have a row for undergrad and grad
Like most of our other snapshots it includes one year previous to one year in future
Institutional Data Users Group
STUD_GPA_HOUR_PIVOT
CUM_OVERALL_EARNED_HOURS, CUM_OVERALL_GRADED_HOURS, CUM_OVERALL_GRADED_GPA, CUM_OVERALL_GRADED_PTS, CUM_SAP_ATTEMPTED_TRANS_HOURS, CUM_SAP_UI_ATTEMPTED_HOURS TERM_SAP_UI_ATTEMPTED_HOURS CUM_TRANSFER_EARNED_HOURS CUM_TRANSFER_FAILED_HOURS CUM_TRANSFER_GRADED_HOURS CUM_TRANSFER_GRADED_GPA CUM_TRANSFER_GRADED_PTS CUM_UI_GRADED_HOURS CUM_UI_GRADED_GPA CUM_UI_GRADED_PTS TERM_UI_GRADED_HOURS TERM_UI_GRADED_GPA TERM_UI_GRADED_PTS CUM_UI_TOTAL_HOURS TERM_UI_TOTAL_HOURS
Institutional Data Users Group
STUD_GPA_HOUR_PIVOT
UNIV_ID SESS CUM_EARNED_HRS
00747869 20158 171
00700851 20158 199
00699221 20158 173
00601542 20158 194
00589037 20158 205
00589037 20158 205
00149454 20158 202
00149454 20158 217
00562570 20158 189
00060994 20158 207
00151926 20158 187
00151926 20158 175
00156723 20158 161
Institutional Data Users Group
STUD_GPA_HOUR_PIVOT
select UNIVERSITY_ID as UNIV_ID, SESSION_CD as sess,
CUM_OVERALL_EARNED_HOURS as CUM_EARNED_HRS
from maui.stud_gpa_hour_pivot where CUM_OVERALL_EARNED_HOURS > 120 AND session_cd = '20158'
Institutional Data Users Group
STUD_GPA_HOUR_PIVOT
UNIV_ID SESS CUM_EARNED_HRS
00747869 20158 171
00700851 20158 199
00699221 20158 173
00601542 20158 194
00589037 20158 205
00589037 20158 205
00149454 20158 202
00149454 20158 217
00562570 20158 189
00060994 20158 207
00151926 20158 187
00151926 20158 175
00156723 20158 161
Institutional Data Users Group
STUD_GPA_HOUR_PIVOT
UNIV_ID SESS CUM_GRADED_HRS CUM_GRADED_GPA CUM_UI_GRADED_HRS CUM_UI_GRADED_GPA00733163 20138 68 4.09 68 4.0917600733163 20141 91 4.12 91 4.1229700733163 20143 106 4.1 106 4.0962300733163 20145 130 4.09 130 4.0860800733163 20148 130 4.09 130 4.0860800733163 20151 162 4.08 162 4.081300733163 20153 164 4.08 164 4.0843300733163 20155 204 4.08 204 4.0758800733163 20158 204 4.08 204 4.07588
Institutional Data Users Group
STUD_GPA_HOUR_PIVOT
select maui.set_snapshot_multi('LASTDAY') from dual;
select UNIVERSITY_ID as UNIV_ID, SESSION_CD as sess, CUM_OVERALL_GRADED_HOURS as CUM_GRADED_HRS, CUM_OVERALL_GRADED_GPA as CUM_GRADED_GPA, CUM_UI_GRADED_HOURS as CUM_UI_GRADED_HRS, CUM_UI_GRADED_GPA as CUM_UI_GRADED_GPA
from maui.stud_gpa_hour_pivot where master_id = 3032422 and session_cd = snapshot_session_cd order by master_id, session_cd
Institutional Data Users Group
STUD_GPA_HOUR_PIVOT
UNIV_ID SESS CUM_GRADED_HRS CUM_GRADED_GPA CUM_UI_GRADED_HRS CUM_UI_GRADED_GPA00733163 20138 68 4.09 68 4.0917600733163 20141 91 4.12 91 4.1229700733163 20143 106 4.1 106 4.0962300733163 20145 130 4.09 130 4.0860800733163 20148 130 4.09 130 4.0860800733163 20151 162 4.08 162 4.081300733163 20153 164 4.08 164 4.0843300733163 20155 204 4.08 204 4.0758800733163 20158 204 4.08 204 4.07588
Institutional Data Users Group
ACAD_GRADE_RECORD
Live record table Contains grades as far back as 60’s, over 11 million
rows Contains only final grades Future sessions are coded with IP for in-progress
Institutional Data Users Group
ACAD_CRSE_SECTION_GRADE
Snapshot table Contains one year previous to one in future Includes attendance, midterm, and final Also includes course cycle status(submitted,
approved) You would query this table to find unapproved
grades – data is as of midnight Retroactive grade changes are included so a grade
change for a session 5 years ago is picked up
Institutional Data Users Group
DEGREES
Legacy and Maui degrees (20061 forward) These tables are live record meaning they are not
snapshots so you do not need to retrieve a particular snapshot to find a student
Conferred, cancelled, completed, applied, pending, and processing status values all exported
Institutional Data Users Group
DEGR_AWARD_RECORD
UNIVERSITY_ID PROGRAM_COLLEGE PGMS_OBJECTIVE DEGREE_EARNED_COUNT DEGR_AWARD_STATUS00733163 A BA 1 CONFERRED00733163 A BS 1 CONFERRED00733163 E BSE 1 CONFERRED00733163 A CER 1 CONFERRED00733163 R CER 1 CONFERRED00733163 E CER 1 CONFERRED00733163 A MINOR 1 CONFERRED
Institutional Data Users Group
DEGREE EARNED COUNT
UNIVERSITY_ID PGMS_OBJECTIVE_KEY DEGREE_EARNED_COUNT SESS_CNT00010522 BSE 2 100010544 BSE 2 100011343 BSE 3 100011702 BSE 2 100011909 BSE 2 100012213 BSE 2 100012301 BSE 3 100012596 BSE 2 100013418 BSE 3 100013584 BSE 2 100013664 BSE 2 1
Institutional Data Users Group
SQL For Previous Slide
select university_id, pgms_objective_key, sum(degree_earned_count) degree_earned_count,
count(distinct session_cd) sess_cnt from maui.degr_award_record group by university_id, pgms_objective_key having sum(degree_earned_count) > 1 order by university_id, pgms_objective_key
Institutional Data Users Group
DEGR_AWARD_POS_RECORD
U_ID SESS PGM_COL OBJ MULTI_AWARD_OBJ SPOS_ID PGM_OF_STUDY_ID LEV_OF_STUDY00733163 20158 A BA N 5128014 65 U00733163 20158 A BS N 5170014 63 U00733163 20158 A BS N 5128013 114 U00733163 20158 E BSE Y 5159459 183 U00733163 20158 E CER N 5176427 767 U00733163 20158 A CER N 5212528 1842 U00733163 20158 R CER N 5176638 1782 U00733163 20158 A MINOR N 5204689 331 U00733163 20158 A MINOR N 5204688 318 U00733163 20158 A MINOR N 5204687 317 U
Institutional Data Users Group
ACAD_PERSISTENCE
Acad_persistence long study users will now use these tables BOR reporting, 4-yr report Tracks enrollment history and graduation history of students that were enrolled or
are enrolled at Iowa Data back to fall cohort of 20033 Cohort consists of admission handling codes A & B(first year and transfers) who
have not received a bachelors Batch process runs nightly to populate empty acad_persistence fields; once a field
is updated that field is never updated again Once student earns a degree we stop tracking We do load data from clearinghouse for non-returners who receive a degree from
another institution DEGR_YEAR_NBR Tables are designed so that other cohort reporting is possible such as spring cohorts
Institutional Data Users Group
ACAD_PERSISTENCE
select count(*) from maui.acad_persistence where degr_year_nbr = 4 and cohort_session_cd = '20103'
Institutional Data Users Group
ACAD_PERSISTENCE_YEAR
Used to track which academic years a student was enrolled; columns listed below
Level of study is only undergrad right now; table is designed so others such as grad students can be tracked
PGMS_LEVEL_OF_STUDY_KEYPGMS_LEVEL_OF_STUDY_DESCRMASTER_IDUNIVERSITY_IDCOHORT_SESSION_CDPERSISTENCE_TYPE_ENPERSISTENCE_TYPE_DESCRPERSISTENCE_YEAR
Institutional Data Users Group
ACAD_PERSISTENCE_YEAR
select count(*) from maui.acad_persistence_year where persistence_year = 2015 and cohort_session_cd = '20153'
Institutional Data Users Group
ACAD_PERSISTENCE_SESSION
Used to track which academic sessions a student was enrolled; columns listed below
PGMS_LEVEL_OF_STUDY_KEY PGMS_LEVEL_OF_STUDY_DESCR MASTER_ID UNIVERSITY_ID COHORT_SESSION_CD PERSISTENCE_TYPE_EN PERSISTENCE_TYPE_DESCR PERSISTENCE_SESSION_CD
Institutional Data Users Group
ACAD_PERSISTENCE_SESSION
select count(*) from maui.acad_persistence_session where persistence_session_cd = '20153' and cohort_session_cd = '20143'
Institutional Data Users GroupInstitutional Data Users Group
MAUI DW: Student RecordsPersistence Dashboard Example
Institutional Data Users GroupInstitutional Data Users Group
MAUI DW: Student RecordsAcademic Year Dashboard Example
Institutional Data Users GroupInstitutional Data Users Group
MAUI DW: Student RecordsCurrent Session Dashboard Example
Institutional Data Users Group
MAUI DW: u.achieve
Live this week: UACH_TRANSFER_WORK – unarticulated transfer
courses and other credits (AP, placement tests, etc.) UACH_ARTICULATION – transfer credits articulated
against u.achieve rules engine to determine how credit may be applied to a students degree audit.
Institutional Data Users Group
MAUI DW: u.achieve
Later this summer Student program requirements and sub-requirements
from the audit.
Institutional Data Users GroupInstitutional Data Users Group
MAUI DW: u.achieve
Challenges warehousing u.achieve data: Vended system. Data optimized for u.achieve application. Field values may or may not align with MAUI values.
Institutional Data Users Group
MAUI DW: u.achieve
How many incoming CLAS students have credit for Math courses?
BI=MAUI DW: BillingInstitutional Data Users Group
Dan RoachLead Application Developer Administrative Information Systems, ITS
Institutional Data Users GroupInstitutional Data Users Group
MAUI DW: Billing – Balance Amounts
Billing Account Balance Amountso BACT_BILLING_ACCOUNT BALANCE_DUE_AMT MIN_DUE_AMT PAST_DUE_AMT COLLECTION_DUE_AMT (not included in other amounts)
Institutional Data Users Group
MAUI DW: Billing – Balance Amounts
o Security• If granted access to any billing warehouse data,
access to billing account is also granted
o Future column additions• Registration restriction indicator• Charge restriction indicator
Institutional Data Users Group
MAUI DW: Billing – Assessment Data
o Tuition & Fee data additions to aid in Central Administration Reporting • TUIT_GROUP_FEE_RATE
• AMNT_ASSESSMENT.TRUE_RESIDENCY_FULL_TUIT_EQUIV (FTTE)
• AMNT_COMBINED_FEE
Institutional Data Users Group
MAUI DW: Billing-Assessment Data
o TUIT_GROUP_FEE_RATE• Displays Fee Rates for each tuition group by hour (show sample data)
Institutional Data Users Group
MAUI DW: Billing-Assessment Data
o TRUE_RESIDENCY_FULL_TUIT_EQUIV (FTTE)
o Definition: The ratio of a student’s assessed tuition to the applicable maximum full-time tuition rate based on the student’s true residency status.
o Used by the budget office in the Tuition Revenue Projection BI cube
Institutional Data Users Group
MAUI DW: Billing-Assessment Data
o AMNT_COMBINED_FEE• Combines assessment fee table (AMNT_FEE) with course
based fee table (AMNT_COURSE_FEE)• Allows for less complex query creation• Used in Assessment reconciliation dashboard and
ProView assessment reports
Institutional Data Users Group
MAUI DW: Billing-Assessment Data
o Review assessment of students in the Intensive English Program
Institutional Data Users Group
MAUI DW: Billing-Assessment Data
o Limited Access to assessment/tuition datao If you have any questions regarding the assessment
data, contact Marty Miller or Ronda Simpson
Wednesday, July 13th, 2016UCC2520-D8:30 – 10:00
For IDUG Executive Committee and Session Feedback or Ideas
[email protected] IDUG Peer to Peer Discussion, Collaboration and Sharing
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