extracting data from idea

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Extracting data for IDEA analysis Kate Crichton IDEA User Group 6 June 2013

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IDEA user group meeting - 6th June13 - Kate Crichton

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Page 1: Extracting data from IDEA

Extracting data for IDEA analysisKate Crichton

IDEA User Group6 June 2013

Page 2: Extracting data from IDEA

Examples of audits

• Payroll– Additional payment– Payroll deductions– On-call and call-out– Pay modernisation and overtime

• Procurement• Space management• Severance payments

Page 3: Extracting data from IDEA

… more examples

• Utilities• Printing services• Bar• Student Withdrawals – HESA return• Non-salary payments• Intellectual property• Expenses

Page 4: Extracting data from IDEA

… still more examples

• Research – prep for REF2014• Studentships and research scholarships• Let property• Key Information Sets • Data Protection compliance• Authorisations• location-based audits

Page 5: Extracting data from IDEA

Summary of data requirements

• Payroll• Financial – purchases / sales • Purchase orders – who / what / how much /

which supplier• Expenses – who / authorised by / how much• Supplier bank account details• BACS files

Page 6: Extracting data from IDEA

Summary (contd)

• Authorisations • Student records• Course and degree enrolments• Researchers and research output• Intellectual property• Room dimensions and classifications• Departmental spreadsheets• Other orgs’ data – Research Councils

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Authority

Internal Audit has the Court’s authority to access all documents, records, personnel andphysical properties which it considers relevant to audit assignments and necessary to fulfil itsresponsibilities. There is an obligation on all staff to provide all necessary assistance.

Approved by Court

Page 8: Extracting data from IDEA

Screen shots removed

• Slides have been removed to ensure privacy. Author happy to answer individual queries. Contact details at end.

• Slides show data extract screens from systems for finance, purchasing, staff & payroll, authorisations, intellectual property, research management, student records.

Page 9: Extracting data from IDEA

Extraction criteria – drop companies

@isini( "&" , SUPPLIER_NAME ) =0 .AND.@isini( "plc" , SUPPLIER_NAME )= 0 .AND. @isini( "Supplies" , SUPPLIER_NAME ) = 0 .AND. @isini( "College" , SUPPLIER_NAME )= 0 .AND. @isini( "trading" , SUPPLIER_NAME )= 0 .AND.@isini( "University" , SUPPLIER_NAME )= 0 .AND.@isini( "Edinburgh" , SUPPLIER_NAME )= 0 .AND. @isini( "centre" , SUPPLIER_NAME )= 0 .AND. @isini( "Agency" , SUPPLIER_NAME )= 0 .AND. @isini( "Design" , SUPPLIER_NAME )= 0 .AND. @isini( "limited" , SUPPLIER_NAME )= 0 .AND. @isini( "services" , SUPPLIER_NAME )= 0 .AND. @isini( "photography" , SUPPLIER_NAME )= 0 .AND. @isini( "International" , SUPPLIER_NAME )= 0

Page 10: Extracting data from IDEA
Page 11: Extracting data from IDEA

Extraction criteria: Pick out round numbers

AMOUNT - ((@int( AMOUNT /50))*50) = 0

Page 12: Extracting data from IDEA

case sensitive

• fred1 = FRED1

• Upper_case_userID = @upper(userID)

Page 13: Extracting data from IDEA

Key points

• Authority• Be assured, data is gettable!!• Speak to right person• Read-only access• Be inventive and creative• Reasonableness check• Training courses• Keep notes

Page 14: Extracting data from IDEA

Happy to answer questions

[email protected]