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DS User Acceptance Testing

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Financial Aid Increment Data Education About This Lesson Background Business Objects training (108, 5i) covers the tool Users also need to know how data is structured ... – PowerPoint PPT presentation

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Title: DS User Acceptance Testing


1
Financial Aid Increment Data Education

2
About This Lesson
  • Background
  • Business Objects training (108, 5i) covers the
    tool
  • Users also need to know how data is structured in
    the Data Warehouse and how it can be accessed
  • Covered
  • Business Objects Universes
  • Sample reports
  • Data models
  • QA
  • Not Covered
  • Using the Business Objects tools
  • InfoView, WebIntelligence, Business Objects 5i
  • Operational processes and using Banner
  • UI-Integrate published reports and letters

3
Agenda
  • Accessing the Data
  • Data Warehouse Environment
  • EDW Model Walkthrough
  • Business Objects Universes
  • Data Groupings
  • Metadata
  • Contacts
  • QA

4
Accessing the Data
  • Business Objects Universes
  • WebIntelligence and 5i access data through
    Universes
  • Provides a layer of business logic over the
    database
  • Graphic representation of database tables and
    columns using business names includes object
    definitions
  • Drag and drop objects onto reports
  • Business Objects tools are supported by Decision
    Support
  • Direct Access
  • Connect using other tools (e.g. SAS/PC, Crystal
    Reports)
  • Direct access to database tables (via security
    views)
  • Can be more complex to use
  • Other tools are not supported by Decision Support
  • Requesting Access
  • Users will request access through USCs
  • Decision Support does not decide who gets access

5
Data Warehouse Environment
  • Data Marts
  • Designed for particular use
  • Subset of data
  • Combines data in simpler structure
  • Apply business rules
  • Fast and easy to use
  • Slice and dice counts
  • EDW
  • Core repository of data
  • Multiple subject areas
  • Very flexible but complex structure
  • Track change history
  • Day old data

6
EDW Model Walkthrough
7
EDW Model Walkthrough
  • EDW Model Overview
  • General Person
  • History tracking effective date, current info
    indicator
  • Aid application
  • RCRAPP ESAR
  • Needs analysis
  • Applicant Status (RORSTAT) contribution, need
  • Budget Components
  • Resources
  • Financial aid funds and awards
  • Fund and balance info
  • Awards and Awards by term
  • Disbursement schedule
  • Loan application and processing
  • Loan application, loan disbursement, prom note
  • Loan certification
  • Lender data
  • Direct loan account statement

8
EDW Model Walkthrough
  • EDW Model Overview
  • Satisfactory Academic Progress
  • User defined fields
  • Banner 1 record per person (per yr), 200
    columns
  • EDW 1 record per person per UDF (per yr), 10
    columns
  • Student employment
  • Financial Aid holds
  • Only contains Financial Aid holds, not other
    types
  • NSLDS
  • General Student
  • Effective term based, not a record for every term
  • Multiple active records, depends on point in
    time
  • History tracking effective date, current info
    indicator
  • Student Registered Hours
  • Financial Aid Enrollment

9
EDW Model Walkthrough
  • Year-based vs. Term-based records
  • Year-based
  • Aid application
  • Needs analysis
  • Funds and awards
  • Disbursement (has term attribute)
  • User Defined Fields
  • Financial Aid holds
  • Student Employment
  • Loan info
  • Term-based
  • Awards
  • SAP
  • Financial Aid Enrollment and Student Registered
    Hours
  • Date-based
  • General Person

10
EDW Model Walkthrough
  • General Student record
  • Effective term based (not a record for every
    term)
  • Effective Term in record is starting term for
    range of terms
  • Effective Date may be misleading
  • Current Info Indicator needed to identify active
    record for the term range
  • Implications for queries
  • Duplicate rows possible
  • Conditions are essential for accurate results
  • Business rules must be built into query or report
  • Term and Year need to be specified
  • General Student records
  • Need business rules to match appropriate General
    Student record to Financial Aid records
  • For term info max (eff term lt aid term)
  • For year info max (eff term lt ROBINST eff term)
  • EDW vs. data mart
  • EDW must be flexible to support many different
    type of reporting
  • Business rules to map student to FA built into
    Awards data mart

11
EDW Model Walkthrough
  • Timing Examples
  • Student History
  • Awards by Year

EDW_ID EFF_DT Exp Date Cur Student Effective Term Major
101 09/15/02 09/20/02 N Fall 02 ACCY
101 09/21/02 12/31/9999 Y Fall 02 FIN
101 03/10/04 12/31/9999 Y Fall 04 ECON
101 09/15/02 12/31/9999 Y Fall 07 N/A
EDW_ID EFF_DT Applicant Year Fund Offer Amt
101 04/25/02 0203 Pell 1000
101 04/15/03 0304 Pell 1000
101 04/30/04 0405 Pell 2000
12
EDW Model Walkthrough
  • Timing Examples
  • Student History
  • Awards by Year

EDW_ID EFF_DT Exp Date Cur Student Effective Term Major
101 09/15/02 09/20/02 N Fall 02 ACCY
101 09/21/02 12/31/9999 Y Fall 02 FIN
101 03/10/04 12/31/9999 Y Fall 04 ECON
101 09/15/02 12/31/9999 Y Fall 07 N/A
EDW_ID EFF_DT Applicant Year Fund Offer Amt
101 04/25/02 0203 Pell 1000
101 04/15/03 0304 Pell 1000
101 04/30/04 0405 Pell 2000
13
EDW Model Walkthrough
  • Timing Examples
  • Student History
  • Awards by Year

EDW_ID EFF_DT Exp Date Cur Student Effective Term Major
101 09/15/02 09/20/02 N Fall 02 ACCY
101 09/21/02 12/31/9999 Y Fall 02 FIN
101 03/10/04 12/31/9999 Y Fall 04 ECON
101 09/15/02 12/31/9999 Y Fall 07 N/A
EDW_ID EFF_DT Applicant Year Fund Offer Amt
101 04/25/02 0203 Pell 1000
101 04/15/03 0304 Pell 1000
101 04/30/04 0405 Pell 2000
14
EDW Model Walkthrough
  • Timing Examples
  • Student History
  • Awards by Year

EDW_ID EFF_DT Exp Date Cur Student Effective Term Major
101 09/15/02 09/20/02 N Fall 02 ACCY
101 09/21/02 12/31/9999 Y Fall 02 FIN
101 03/10/04 12/31/9999 Y Fall 04 ECON
101 09/15/02 12/31/9999 Y Fall 07 N/A
EDW_ID EFF_DT Applicant Year Fund Offer Amt
101 04/25/02 0203 Pell 1000
101 04/15/03 0304 Pell 1000
101 04/30/04 0405 Pell 2000
15
Business Objects Universes
  • EDW Financial Aid Office Ad hoc
  • Detailed ad hoc reporting/analysis of all
    Financial Aid data in EDW
  • Accessible to Financial Aid Offices and IR only
  • Maps EDW structure high flexibility highly
    complexity
  • Does not resolve association of General Student
    to Financial Aid records for a year or term
  • Only current records for General Student (per
    term range)
  • Includes
  • Basic General Person and General Student
  • Aid application and needs analysis
  • Financial aid funds and awards (including
    disbursement)
  • Loan application and processing
  • Satisfactory Academic Progress
  • User defined fields
  • Student employment
  • Financial Aid holds
  • NSLDS
  • Not included
  • Change history of General Student record
  • Mapping of Budget Components to Budget Groups

16
Business Objects Universes
  • Things to know
  • Click the on code objects to get descriptions
  • Count objects
  • Count () counts all records in query (e.g. of
    awards)
  • Headcount distinct person count (EDW_PERS_ID)
  • Fund Code list of values (LOV)
  • For Conditions on Fund Code, selecting LOV
    prompts for Fund Source to narrow list
  • Avoiding duplicate rows
  • Issue when combining data with different time
    basis
  • Report parameter Avoid duplicate rows
    aggregation
  • Can hide rows you want (e.g. multiple award rows)
  • Can hide rows you dont want
  • What time object to use?
  • Applicant year code
  • Term
  • Student Effective term

17
Business Objects Universes
  • How to get the max (term lt target term)?
  • Max term and lt target term can be used
    independently
  • To combine, have to use workaround
  • Add Condition on Student Effective Term
  • Use In list operator
  • Use Calculation operand
  • Select an Object Student Effective Term
  • Select a Function Maximum
  • Define the Level of Calculation Globally
  • Synchronize your Calculation For each value of
    one or more objects (use EDW_PERS_ID, not UIN)
  • Set the Number of Values to Compare All values
  • Modify report SQL
  • Add line to final Where clause
  • and edw.t_student_hist.term_cd_eff lt lttermgt
  • Check the Do not generate SQL before running
    checkbox

18
Data Groupings
  • Fund Type
  • Discretional Tuition Waiver, Discretionary Fee
    Waiver, Fee Waiver, Grant, Loan, Scholarship,
    Statutory Fee Waiver, Statutory Tuition Waiver,
    Tuition Waiver, Work
  • Fund Source
  • Federal, State, Institutional, Departmental,
    Other
  • Student Type
  • Student Type Group Beginning, Transfer, Readmit
  • Citizenship
  • Citizenship Type Group Domestic, International
  • Racial Ethnic
  • Racial Ethnic Group Minority, Other
  • Racial Ethnic Reporting Group Group A, Group B
  • Student Level
  • Level Group Credit, Non-credit
  • Level Credit Group Degree, Non-degree
  • Level Degree Group Undergrad, Graduate-Profession
    al
  • Graduate/Professional Group Graduate,
    Professional

19
Data Groupings
  • Residency
  • In-State Indicator Y/N
  • In-State Tuition Indicator? Y/N
  • Residency Group being reviewed
  • Report Examples

20
Metadata
  • Logical Data Model
  • High-level business view of the data
  • Shows the actual tables and views with business
    names
  • Useful for determining what data is available.
  • Physical Data Model
  • Actual representation of physical tables and
    views in database
  • Actual physical table names are used
  • Key reference when writing queries directly
    against the database
  • Data Dictionary
  • Definitions for all of the tables in the
    Warehouse
  • Includes column names and descriptions, table
    keys, valid values
  • Useful for finding out more about specific table
    or column
  • Source-to-Target Mappings
  • Show each table and column in EDW and indicate
    the table and column in the source system
  • Show source in the EDW for data mart tables and
    columns
  • Uses physical table and column
  • Useful for tracking data back to the source

21
Metadata
  • Usage Notes
  • Background about the environment and general info
  • Refresh rates
  • Table joins
  • Change history tracking
  • How deleted data is handled
  • Use of indexes in the EDW
  • Data access summary
  • Data groupings

22
Contacts
  • AITS Help Desk
  • Chicago (312) 996-4806
  • Urbana (217) 333-3102
  • Springfield (217) 333-3102
  • DS Website
  • www.ds.uillinois.edu

23
QA
  • Questions?
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