INT E G R A T E D C OUR S E DA T A MA NA G E ME NT P R OJ E C T

L E S S ONS L E A R NE D

Order Issue Impact

1 Data duplication / no master copy 2.7

2 Missed deadlines / info not provided 2.5

3 Process and data not well understood 2.5

4 Variable data quality 2.4

5 Little automated data validation 2.4

6 Process is dependent on a few individuals 2.3

7 Poor Web presentation 2.2

8 Process is complex 2.2

9 Duplicated e�ort 2.2

10 Few controls 2.1

11 Di�cult to report on data across systems 2.1

12 Incompatible and in�exible data structures 2.1

13 Little analysis of costs and bene�ts of portfolio changes

1.8

14 Criteria for agreeing changes to portfolio insu�ciently holistic.

1.8

S tudent R ecords T imetabling

V LE P ublicS tudentsS taff

LondonMet Website

P ortfolio P lanning

New UG / P G C ourse Approval

UG / P G C ourse & Module

Development

C ourse Offer P ublication & E xport

Detailed UG / P G Offer P lanning

S tart of C ourse P lanning C ycle

C ourse Offer Database

UC AS

UG / P G P rospectus

Maintenance

E nd of C ourse P lanning C ycle

S hort C ourse Management

T hird P arty Aggregators

XC

RI-

CA

P F

eed

9. E xport Offer to V LE & T imetabling

S ystems(Auto)

3R D P A R T Y A G G R E G A T OR S

2. E xport Modules to S IT S(Auto)

P UB L IC , S T UDE NT S & S T A F F

C OUR S E OF F E R E XP OR T & P UB L IC A T ION

A C A DE MIC INF O & S Y S T E MS

7.G enerate XC R I-C AP F eed

(Auto)

Daily

1. C heck Module Data Quality &

Approve for E xport

3. C heck C ourse Data Quality &

Approve for E xport

5. C heck Offered S tructures & P roduce Diet S preadsheets

6. Load Diets to S IT S

(Auto)

4. E xport C ourses to S IT S(Auto)

Daily or On DemandDeadline for Offer: Oct 2013Deadline for Defs : Aug 2014

On DemandDeadline: ? ? ? ?

Daily

S ystems Updated

10. V iew C ourse Offer on

LondonMet.ac.uk

13. V iew C ourse Offer on T hird P arty

Websites

11. P roduce P ersonal

P rospectus

8. V alidate / Amend XC R I-

C AP feed(Auto)

12. Aggregate Data

Offer viewed

Offer viewed

XC R I C AP F ile

C ourse Offer Database

V LET imetabling

S tudent R ecords(S IT S )

E vents

A) New C ourse Added (F rom New C ourse approval)B ) C ourse C hange R ecorded (F rom P ortfolio P lanning)C ) P rospectus E ntry Approved (F rom P rospectus Maintenance)D) C ourse / Module S pec R ecorded (F rom C ourse / Module Development)E ) Details of Offer R ecorded (F rom Detailed Offer P lanning)

E ventsA) B ) C ) D) E )

E ventsD) E )

E ventsE )

On DemandF rom Mar 2013 for UGF rom Dec 2013 for P G

P oll

On Demand

Aggregator S ystem

Daily or On DemandDeadline: Mar 2014

F A C UL T IE S

2. Assess R isk of C ollaborative

C ourse

1. P roduce B us iness C ase for

New C ourse

New C ourse P roposed(F rom P ortfolio P lanning)

A C A DE MIC INF O & S Y S T E MSDE A NS F OR UM / QE UOT HE R

New C ourse Approved F or Development & Marketing

NE W C OUR S E A P P R OV A L

9. C ode C ourse

O

If collaborative

3. F aculty Approval(Dean)

4. Log & R efer for C omment

(S ecretary of DF )

5. C omment on New C ourse

P roposal(Directors of UK &

Int R ecruitment)

6. S ubmit to Deans F orum

(S ecretary of DF )

Next Deans F orum or C hair’s Action

7. Approve New C ourse for Development

(Deans F orum / DV C ) J AC S + F unding S ources from

P lanning Office

New C ourse C oded(T o P rospectus Maintenance

T o C ourse & Module Development)

C ourse Offer Database

UC AS C ode

C ourse Offer Database

X

8. R ecord & C ommunicate Outcome

R ework required(T o 1)

R ejected

Integrated C ours e Data Management P rojec t

C UR R IC UL UM MA NA G E ME NT IS S UE S IDE NT IF IE D B Y B US INE S S P R OC E S S R E V IE W

P art of the J IS C C ours e Data P rogramme: making the mos t of c ours e information

… with COD we can manage most of our course info in one place … this will

simplify our processes & go along way to guarantee the accuracy of the

information we give to students …. This can only be good news for everyone ....

Demetria MaratheftisMarketing, B rand & Web Manager

‘‘

‘‘

T O B E P R OC E S S MODE L E XT R A C T

C atherine C onnorHead, Quality E nhancement Unit

‘‘ ‘‘

… the COD is vital for capturing accurate course information at the

earliest possible stage and for providing the University with assurance on course

titles …The way forward! …

� Tackle as a business change project (technology issues relatively straightforward)

� Good leadership, at right level� To champion project� To make key decisions and balance con�icting interests

� Business engagement� Joint business / IT project team� Stakeholder representatives� Good communications

� Plan business implementation well in advance� Flexible data design to future -proof� Allow time for data conversion and cleansing

…. a huge step forward for data consistency between systems … & facilitating the rapid

design & dissemination of accurate & complete course information to all

stakeholders, through a variety of media channels

Ian HollenderAcademic Leader (Information and Data Quality)

‘‘

‘‘

Business Change:� Implemented a Course O�er Database – the single

authoritative source of course & module data � UG , PG & Short / Professional courses� Integrated with Website, Student Records, VLE & Timetabling

systems� Source of data for XCRI -CAP feed

� Decommissioned redundant data sources� Redesigned curriculum management processes around

the new Course O�er Database

Business Bene�t:� Improved data quality - accuracy, completeness, timeliness,

consistency & accessibility� improved marketing � improved support for students with programme planning etc.� improved support for academic and support sta� � improved University reputation� reduced cost of managing errors

� Streamlined business processes - further cost reductions� Greater transparency of course o�er / meaningful

comparisons � Enable better BI & decision making on course o�er.