“Star Gazing “Star Gazing –– Why Bother?”Why Bother?”

Ken Ken DiefenbachDiefenbach

Position Title : Project Manager, Business Intelligence @ CQUPosition Title : Project Manager, Business Intelligence @ CQUInformation Technology DivisionInformation Technology Division

Abuse, Arguments, Questions, etc: k.diefenbachATcqu.edu.auAbuse, Arguments, Questions, etc: k.diefenbachATcqu.edu.au

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Presentation SequencePresentation SequencePresentation SequencePresentation Sequence

Audience PollAudience PollSetting the SceneSetting the SceneSetting the SceneSetting the SceneDW 101 DW 101 Wh t’ d i 2006Wh t’ d i 2006What’s progressed since 2006What’s progressed since 2006Current SituationCurrent SituationFuture DirectionsFuture DirectionsQuestions / CommentsQuestions / Comments

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Setting the SceneSetting the Scene -- BIGBIGSetting the Scene Setting the Scene BIGBIGCQUCQU

COGNOS site since early 90’s for Business IntelligenceCOGNOS site since early 90’s for Business Intelligence–– COGNOS site since early 90 s for Business IntelligenceCOGNOS site since early 90 s for Business Intelligence–– PowerHouse site since before I started there in 1989PowerHouse site since before I started there in 1989

Business Intelligence Group Business Intelligence Group –– (“(“Think BIG”Think BIG”))–– (( Think BIGThink BIG ))–– Initially 3 members, 90+ years IT experienceInitially 3 members, 90+ years IT experience

As of Friday last, 5.7 EFT As of Friday last, 5.7 EFT And we lost 30+ of those years of experienceAnd we lost 30+ of those years of experience

MoiMoi–– 15 years + in Business Intelligence15 years + in Business Intelligence–– Chair of HEUG Reporting & Analysis Product Advisory Chair of HEUG Reporting & Analysis Product Advisory

GGGroupGroup-- Prone to talk too much and too fast Prone to talk too much and too fast -- Please tell me if it’s happening again!Please tell me if it’s happening again!

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••NB This makes it YOUR FAULT if you let me rabbit on!!!NB This makes it YOUR FAULT if you let me rabbit on!!!

Data Warehouse 101Data Warehouse 101Data Warehouse 101Data Warehouse 101NOTNOT a copy of the transaction data a copy of the transaction data NOTNOT a copy of the transaction data a copy of the transaction data pypybase on a separate serverbase on a separate serverA repository where information from A repository where information from multiple sources ismultiple sources is restructuredrestructured andand

pypybase on a separate serverbase on a separate serverA repository where information from A repository where information from multiple sources ismultiple sources is restructuredrestructured andandmultiple sources is multiple sources is restructuredrestructured and and stored in a format more suitable for stored in a format more suitable for analysis and reportinganalysis and reportingCQU i till d ti th W hCQU i till d ti th W h

multiple sources is multiple sources is restructuredrestructured and and stored in a format more suitable for stored in a format more suitable for analysis and reportinganalysis and reportingCQU i till d ti th W hCQU i till d ti th W hCQU is still adopting the Warehouse CQU is still adopting the Warehouse Gospel Gospel a laa la Ralph KimballRalph Kimball–– Operational Data StoresOperational Data Stores

CQU is still adopting the Warehouse CQU is still adopting the Warehouse Gospel Gospel a laa la Ralph KimballRalph Kimball–– Operational Data StoresOperational Data Storespp–– Star SchemasStar Schemas

Sometimes we disagree on Sometimes we disagree on interpretation or emphasisinterpretation or emphasis

pp–– Star SchemasStar Schemas

Sometimes the team disagrees on Sometimes the team disagrees on interpretation or emphasisinterpretation or emphasis –– but beingbut being

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interpretation or emphasis interpretation or emphasis interpretation or emphasis interpretation or emphasis –– but being but being the boss helps the boss helps ☺☺

DW 101 orDW 101 or –– Why Stargaze?Why Stargaze?DW 101 or DW 101 or Why Stargaze?…Why Stargaze?…

Not because it’s funNot because it’s funNot because it s funNot because it s funNot because almost everyone is doing itNot because almost everyone is doing itHang it on some business needs!Hang it on some business needs!Hang it on some business needs!Hang it on some business needs!Faster reporting from the data warehouseFaster reporting from the data warehouseFaster access to the originatingFaster access to the originatingFaster access to the originating Faster access to the originating applicationsapplicationsBetter quality dataBetter quality dataBetter quality dataBetter quality data

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Why Stargaze Part 2?Why Stargaze Part 2?Why Stargaze Part 2?Why Stargaze Part 2?

Value added dataValue added data –– information that doesinformation that doesValue added data Value added data information that does information that does not exist in the source applicationsnot exist in the source applicationsAbility to report across applicationsAbility to report across applicationsAbility to report across applicationsAbility to report across applicationsProvide a single version of the truthProvide a single version of the truthHave the ability to import additional dataHave the ability to import additional dataProvide better data structures for ad hoc Provide better data structures for ad hoc reportingreporting

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LimitationsLimitationsLimitationsLimitations

Not necessarily the latest view of the dataNot necessarily the latest view of the dataNot necessarily the latest view of the dataNot necessarily the latest view of the dataDevelopment will be evolutionary, not big Development will be evolutionary, not big bangbangbangbangData must already exist or be derivableData must already exist or be derivable–– Within ERPWithin ERP–– Within Excel / Access CSV / text Within Excel / Access CSV / text

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Some appropriate music please Some appropriate music please MaestroMaestroMaestro….Maestro….

http--www.wdisneyw.co.uk-photos-wish.mid.url

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Kimball According to DisneyKimball According to DisneyKimball According to DisneyKimball According to DisneyBase your report on a starBase your report on a starBase your report on a starBase your report on a starMakes no difference who you areMakes no difference who you areFact tables and dimensionsFact tables and dimensionsWill work for you…Will work for you…

Demands from Chancellery or Dean?Demands from Chancellery or Dean?No request is too extreme!No request is too extreme!Anything their hearts desireAnything their hearts desireCan come from you….Can come from you….

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Dimensions FactsDimensions FactsDimensions, FactsDimensions, FactsTimeTerm ApplicationStudent

LeavetypeJob Staffyp

Action CareerFacultyAdmissions reporting Leave reporting

Admissions Leave

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Admissions Leave

What do you need to get a What do you need to get a ??warehouse?warehouse?

A location to store itA location to store it“P ti ” il t“P ti ” il t–– “Pontious” was our pilot “Pontious” was our pilot

–– Living proof that SysAdmins can’t spellLiving proof that SysAdmins can’t spell–– And / or never went to Sunday SchoolAnd / or never went to Sunday School

A way to get the data inA way to get the data inA way to get the data inA way to get the data in–– An ETL tool is one way:An ETL tool is one way:

EEXTRACT the data from multiple sourcesXTRACT the data from multiple sourcesTTRANSFORM this data into a different form to optimise it for reportingRANSFORM this data into a different form to optimise it for reportingLLOAD it into the Data WarehouseOAD it into the Data WarehouseLLOAD it into the Data WarehouseOAD it into the Data Warehouse

–– And you need a server to run this onAnd you need a server to run this on“Morph” is the server that we use to massage and reshape the data“Morph” is the server that we use to massage and reshape the data

A window to run the “refreshes” in according to needA window to run the “refreshes” in according to need–– Refresh our complete student data early each morning except Sunday Refresh our complete student data early each morning except Sunday

(ODS and Warehouse)(ODS and Warehouse)–– Takes pretty much 5 1/2 hours from 2am Takes pretty much 5 1/2 hours from 2am –– 7:30 am counting PowerPlay 7:30 am counting PowerPlay

cubescubes

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–– Combination of Delta and full refreshesCombination of Delta and full refreshes–– Expect more deltas as time becomes an issueExpect more deltas as time becomes an issue

We had the PoliticsWe had the PoliticsWe had the PoliticsWe had the PoliticsBusiness case from hellBusiness case from hellExecutive turnover Executive turnover –– A champion, a champion A champion, a champion –– my kingdom for a championmy kingdom for a champion

Budget bluesBudget bluesBudget blues Budget blues –– Project drawn up & commenced in a year of SARSProject drawn up & commenced in a year of SARS--induced induced

reversal on international incomereversal on international incomeBusiness CaseBusiness Case RFIRFI ITOITOBusiness Case Business Case RFI RFI ITOITODelays due to (un)due process and staff unavailabilityDelays due to (un)due process and staff unavailabilityMany selfMany self--appointed (and opinionated) Data Warehouse appointed (and opinionated) Data Warehouse yy pp ( p )pp ( p )ExpertsExperts

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Expect ComplicationsExpect ComplicationsExpect ComplicationsExpect Complications

Everyone wants to dump their old data in theEveryone wants to dump their old data in theEveryone wants to dump their old data in the Everyone wants to dump their old data in the warehousewarehouse–– it’s a WAREHOUSE not an OUTHOUSE!!!!it’s a WAREHOUSE not an OUTHOUSE!!!!

ETL tools are powerful, complex and challenging ETL tools are powerful, complex and challenging beasts beasts –– especially when in unfamiliar territory especially when in unfamiliar territory (but that’s part of the fun)(but that’s part of the fun)Executive turnover + University review + Executive turnover + University review + Reorganisation + … meant Reorganisation + … meant Ever moving interview targetEver moving interview target

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Golden (Midas) MomentsGolden (Midas) MomentsGolden (Midas) MomentsGolden (Midas) Moments

First query on GPA at Melbourne CampusFirst query on GPA at Melbourne CampusFirst query on GPA at Melbourne Campus First query on GPA at Melbourne Campus on preon pre--releasereleaseUnfortunate clarity on drop in studentUnfortunate clarity on drop in studentUnfortunate clarity on drop in student Unfortunate clarity on drop in student numbersnumbersLook on various faces when they see dataLook on various faces when they see dataLook on various faces when they see data Look on various faces when they see data on maps with drillthroughon maps with drillthroughBut for every Midas moment there’ll beBut for every Midas moment there’ll beBut for every Midas moment there ll be But for every Midas moment there ll be months of mudmonths of mud–– Strangely many occur in lead up to Project Strangely many occur in lead up to Project

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g y y p jg y y p jBoard meetings ????Board meetings ????

What have we achieved so far?What have we achieved so far?What have we achieved so far?What have we achieved so far?Student Operational Data StoreStudent Operational Data StoreStudent Data MartsStudent Data Marts–– Student CourseStudent Course–– Student ProgramStudent Program–– Student ApplicationsStudent Applications–– Student ProspectsStudent Prospects

HR ODS now available HR ODS now available –– Meta Layer plus other tables Meta Layer plus other tables –– Security of access based on org structure security extracted from Security of access based on org structure security extracted from

Alesco applicationAlesco applicationOther data feedsOther data feeds

AIC St ff t lAIC St ff t l–– AIC Staff portalAIC Staff portal–– Faculty restructureFaculty restructure–– Axapta (used to manage external student mailouts and Axapta (used to manage external student mailouts and

packages)packages)

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packages)packages)

Current CQU IS EnvironmentCurrent CQU IS EnvironmentCurrent CQU IS EnvironmentCurrent CQU IS Environment

PS Financials 8 4PS Financials 8 4PS Financials 8.4PS Financials 8.4Upgrading student from 7.6 to 8.9Upgrading student from 7.6 to 8.9HR t ( t PS) d d t bHR t ( t PS) d d t bHR system (not PS) upgraded to web HR system (not PS) upgraded to web based architecture November 06based architecture November 06Cognos 7 reporting tools Cognos 7 reporting tools –– at least the at least the majority we’ve deployed majority we’ve deployed –– are notare notSo we had to find a new mechanism for So we had to find a new mechanism for the many reports we have availablethe many reports we have available

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y py p

So in June 2006So in June 2006So in June 2006So in June 2006

Decision to look for web based reportingDecision to look for web based reportingDecision to look for web based reporting Decision to look for web based reporting toolstoolsSelected Cognos 8 after doing researchSelected Cognos 8 after doing researchSelected Cognos 8 after doing research, Selected Cognos 8 after doing research, leveraging existing work with some leveraging existing work with some migration aspects covered and some notmigration aspects covered and some notmigration aspects covered, and some notmigration aspects covered, and some notTraining in late October 06Training in late October 06

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Approach takenApproach takenApproach takenApproach taken

Pause work in warehouse due to resourcePause work in warehouse due to resourcePause work in warehouse due to resource Pause work in warehouse due to resource limitations limitations A bit of training never hurts, neitherA bit of training never hurts, neitherA bit of training never hurts, neither A bit of training never hurts, neither leveraging off a pretty useful consultantleveraging off a pretty useful consultantMigrate Ye Olde Ancient ApplicationMigrate Ye Olde Ancient ApplicationMigrate Ye Olde Ancient Application Migrate Ye Olde Ancient Application infrastructure and their reports first infrastructure and their reports first –– A lowA low--risk familiarity with the new technologyrisk familiarity with the new technologyy gyy gy–– Doesn’t hurt to do a few simpler things firstDoesn’t hurt to do a few simpler things first–– Legacy student and finance data completeLegacy student and finance data complete

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g yg y

There willThere will alwaysalways be gremlins…be gremlins…There will There will always always be gremlins…be gremlins…

Impromptu catalogs do migrate to COGNOS 8 Impromptu catalogs do migrate to COGNOS 8 p p g gp p g gframework packages…framework packages…… but …… but …Migrations do not in and of themselves make Migrations do not in and of themselves make industrial strength infrastructure …industrial strength infrastructure …

ti l l if th ’ i ifi tti l l if th ’ i ifi t… particularly if there’s a very significant … particularly if there’s a very significant paradigm shiftparadigm shiftMigrated infrastructure aMigrated infrastructure a startingstarting pointpointMigrated infrastructure a Migrated infrastructure a startingstarting pointpointNo ROI on “tarting up” legacy system Impromptu No ROI on “tarting up” legacy system Impromptu catalogscatalogs

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gg

Sometimes serendipitySometimes serendipitySometimes, serendipity… Sometimes, serendipity…

Cognos 8 Framework Manager isCognos 8 Framework Manager is veryvery clever inclever inCognos 8 Framework Manager is Cognos 8 Framework Manager is veryvery clever in clever in dealing with star schemasdealing with star schemasDesignate dimensions, fact tables, and scopeDesignate dimensions, fact tables, and scopeg , , pg , , pAuto aggregation and other good gear followsAuto aggregation and other good gear follows

which only goes to show Star Schemas makewhich only goes to show Star Schemas make… which only goes to show Star Schemas make … which only goes to show Star Schemas make infrastructure infrastructure as well asas well as reporting easyreporting easy… which makes Ken a very happy camper… which makes Ken a very happy camperc a es e a e y appy ca pec a es e a e y appy ca pe

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New Boss ArrivesNew Boss ArrivesNew Boss ArrivesNew Boss ArrivesEmphasis to shift to exec interface Emphasis to shift to exec interface -- dashboards dashboards ppand high value addand high value addss“Strategic” is my mantra“Strategic” is my mantraBUTBUT–– Need to convert existing report suite to COGNOS 8 Need to convert existing report suite to COGNOS 8

as wellas wellas wellas well–– New reports for HR & Student UpgradeNew reports for HR & Student Upgrade–– Staff resourcing issuesStaff resourcing issues

Trips to two other unis in Oz to have a look and Trips to two other unis in Oz to have a look and share ideas, problems and solutionsshare ideas, problems and solutions

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Reporting PyramidReporting PyramidReporting PyramidReporting Pyramid

We had successfully used our reportingWe had successfully used our reportingWe had successfully used our reporting We had successfully used our reporting tools in the operational and management tools in the operational and management areas with some “bleed” into strategicareas with some “bleed” into strategicareas, with some bleed into strategicareas, with some bleed into strategicNot helping executives who need Not helping executives who need information “no further than a click away”information “no further than a click away”information no further than a click away information no further than a click away and exposure to “games” some sections of and exposure to “games” some sections of the University playthe University playthe University playthe University playDashboarding now a major focusDashboarding now a major focus

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The Fatal Flaws (and CQU’s Score The Fatal Flaws (and CQU’s Score f )f )on some of them)on some of them)

COGNOS has a white paper on theseCOGNOS has a white paper on theseCOGNOS has a white paper on theseCOGNOS has a white paper on theseAvailable from their web siteAvailable from their web siteB th t th 7 d dl d hb dB th t th 7 d dl d hb dBe aware that the 7 deadly dashboard Be aware that the 7 deadly dashboard don’ts (TM Ken D 2007) will vary don’ts (TM Ken D 2007) will vary

di t hi h ddi t hi h daccording to which company produce according to which company produce themthemBriefly cover each and how well CQU has Briefly cover each and how well CQU has done / is going done / is going

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1 “If we build it they will come”1 “If we build it they will come”1. If we build it, they will come1. If we build it, they will comeGartner says a successful initiative combines Gartner says a successful initiative combines yybusiness relevance with strong architecturebusiness relevance with strong architectureOurs works depending on a favourable definition Ours works depending on a favourable definition

f “ h ”f “ h ”of “they”of “they”Having the data is part of it but it will remain Having the data is part of it but it will remain untapped without buyuntapped without buy in and appropriatein and appropriateuntapped without buyuntapped without buy--in and appropriate in and appropriate delivery mechanismsdelivery mechanismsChange & communication management is keyChange & communication management is keyC a ge & co u cat o a age e t s eyC a ge & co u cat o a age e t s eyCQU rating (/10): 3CQU rating (/10): 3In summary, In summary, guilty as chargedguilty as charged

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y,y, g y gg y g

2. “Managers need to dance with 2. “Managers need to dance with ””the numbers”the numbers”

Spreadsheet proliferationSpreadsheet proliferation –– everybody haseverybody hasSpreadsheet proliferation Spreadsheet proliferation everybody has everybody has their own version of the numberstheir own version of the numbersCfCf “One version of the truth”“One version of the truth”Cf. Cf. One version of the truthOne version of the truthVery important for data to be presented Very important for data to be presented f f d i i t t tif f d i i t t tifree of nuance and misinterpretationfree of nuance and misinterpretation, , and secure from “creative flair”and secure from “creative flair”CQU Score CQU Score –– N/A. Yet. Turf war may be N/A. Yet. Turf war may be approachingapproaching

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3. “We don’t have a data quality 3. “We don’t have a data quality ””problem”problem”

We know _most_ of the student data issuesWe know _most_ of the student data issuesErrors reported to users for correction at sourceErrors reported to users for correction at sourceError dimension rows created so that data is visible Error dimension rows created so that data is visible where valid and identified where notwhere valid and identified where notWe are becoming painfully aware of HR issuesWe are becoming painfully aware of HR issuesFinance will be “interesting”Finance will be “interesting”Data cleansing major byData cleansing major by--product of exposingproduct of exposingData cleansing major byData cleansing major by--product of exposing product of exposing “information”“information”Diefenbach’s Doctrines of Data DaintinessDiefenbach’s Doctrines of Data Daintiness–– Data will appear to all intents and purposes clean and clear untilData will appear to all intents and purposes clean and clear until–– Data will appear to all intents and purposes clean and clear until Data will appear to all intents and purposes clean and clear until

you use ityou use it–– Do not for one moment consider you will find all the holes firstDo not for one moment consider you will find all the holes first–– Nothing “airs one’s dirty linen” or “crap detects” like 3Nothing “airs one’s dirty linen” or “crap detects” like 3rdrd party party

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toolstoolsCQU score 6CQU score 6--7/107/10

4. “Our business application vendor 4. “Our business application vendor ””will deliver the best solution”will deliver the best solution”

Not going thereNot going thereNot going thereNot going thereHave high opinions of and more than Have high opinions of and more than significant relationships with bothsignificant relationships with bothsignificant relationships with both significant relationships with both COGNOS and Oracle and they’ll give you COGNOS and Oracle and they’ll give you different interpretationsdifferent interpretationsdifferent interpretationsdifferent interpretationsRemember, it has to work for Remember, it has to work for youryourI tit tiI tit tiInstitutionInstitution

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5. “Darwin was wrong. There’s no 5. “Darwin was wrong. There’s no f ”f ”need for BI applications to evolve”need for BI applications to evolve”

In which COGNOS pushes a single tool set to In which COGNOS pushes a single tool set to p gp gcover all BIcover all BICertainly makes maintenance easier, and from Certainly makes maintenance easier, and from

i k “f l” BI b di k “f l” BI b dexperience we know “feral” BI apps can breed experience we know “feral” BI apps can breed like rabbits without the rigour & governance that like rabbits without the rigour & governance that a single toolset can providea single toolset can providea single toolset can providea single toolset can providePoints of pain particularly occurs when one exec Points of pain particularly occurs when one exec discovers data delivered differently to another discovers data delivered differently to another exec and it’s data that they want as wellexec and it’s data that they want as wellCQU 6/10CQU 6/10

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6. “We can outsource the whole 6. “We can outsource the whole ””thing”thing”

Depends on how you define “the wholeDepends on how you define “the wholeDepends on how you define the whole Depends on how you define the whole thing”thing”Not touching this one in print eitherNot touching this one in print either ☺☺Not touching this one in print either Not touching this one in print either ☺☺

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7 “Just give me a dashboard”7 “Just give me a dashboard”7. Just give me a dashboard7. Just give me a dashboardDashboards often win over balanced scorecard Dashboards often win over balanced scorecard because they’re seen to be easier and faster to because they’re seen to be easier and faster to deliverdeliverM fl b i d i d ll d illM fl b i d i d ll d illMust reflect business drivers and allow drillMust reflect business drivers and allow drill--down to supporting detaildown to supporting detailMore effective if based on strategy maps whichMore effective if based on strategy maps whichMore effective if based on strategy maps which More effective if based on strategy maps which show cause and effectshow cause and effectEasier to do with a warehouse underpinningEasier to do with a warehouse underpinningas e to do t a a e ouse u de p gas e to do t a a e ouse u de p gAnd we haven’t done enough in this space for And we haven’t done enough in this space for me to commentme to comment

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Diving in for Diving in for a Closer a Closer

LookLookLookLook

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Stars in Our EyesStars in Our EyesStars in Our EyesStars in Our EyesWe chose Kimball Star We chose Kimball Star Schema approach as it Schema approach as it was our preferred of 2 was our preferred of 2

ffapproaches available approaches available cf cf Bill Inmon’s approachBill Inmon’s approachI G k kI G k kIn Geekspeek: In Geekspeek: –– (Conformed) Dimensional (Conformed) Dimensional

Tables shared across allTables shared across allTables shared across all Tables shared across all Fact TablesFact Tables

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St d t P D t M tSt d t P D t M t EEStudent Program Data Mart Student Program Data Mart –– EveryEveryStudent Program Student Program (since 1989 anyhow)(since 1989 anyhow)gg ( y )( y )

–– Total Courses RegisteredTotal Courses Registered–– Total Courses DroppedTotal Courses Dropped

T t l C E ll dT t l C E ll d

–– Weighted GPAWeighted GPA–– Total Grade PointsTotal Grade Points

T l GP C di T kT l GP C di T k–– Total Courses Enrolled Total Courses Enrolled –– Total Courses PassedTotal Courses Passed–– Total Courses FailedTotal Courses Failed

Total Courses OutstandingTotal Courses Outstanding

–– Total GP Credits TakenTotal GP Credits Taken

–– Total Workload Attempted Total Workload Attempted Total Workload PassedTotal Workload Passed–– Total Courses OutstandingTotal Courses Outstanding

–– Total Credit Points AttemptedTotal Credit Points Attempted–– Total Credit Points PassedTotal Credit Points Passed

–– Total Workload Passed Total Workload Passed (EFTSL)(EFTSL)

–– Total Workload Total Workload Outstanding (EFTSL)Outstanding (EFTSL)Total Credit Points PassedTotal Credit Points Passed

–– Total Credit Points Total Credit Points OutstandingOutstanding –– CQU Transfer CreditsCQU Transfer Credits

–– Other Transfer CreditsOther Transfer CreditsT t l T f C ditT t l T f C dit

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–– Total Transfer CreditsTotal Transfer Credits

Student Program DimensionsStudent Program DimensionsStudent Program DimensionsStudent Program DimensionsStudent Personal DetailsStudent Personal Details

P l i f ti b t h t d t i l di dP l i f ti b t h t d t i l di d–– Personal information about each student, including names and Personal information about each student, including names and addresses, biodemographic data, citizenship and presence at the addresses, biodemographic data, citizenship and presence at the University.University.

Program DetailsProgram Details–– Information about each academic program.Information about each academic program.

Latest Student Program DetailsLatest Student Program Details–– The latest information about each student program.The latest information about each student program.

Expected Final Term DetailsExpected Final Term DetailsExpected Final Term Details Expected Final Term Details –– The term the student expects to finish the program.The term the student expects to finish the program.

Completion Term Details Completion Term Details –– The actual term the student completed the program.The actual term the student completed the program.p p gp p g

First Student Program DetailsFirst Student Program Details–– The earliest information about each student program.The earliest information about each student program.

Application DetailsApplication DetailsS i f ti b t th t d t li tiS i f ti b t th t d t li ti

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–– Some information about the student program application.Some information about the student program application.

Latest Stuff / Coming (Very) Latest Stuff / Coming (Very) SSSoon…Soon…

Access by new Faculty Structure Access by new Faculty Structure SCD’ ’t t t ith “Bi B ”SCD’ ’t t t ith “Bi B ”–– SCD’s weren’t meant to cope with “Big Bang”SCD’s weren’t meant to cope with “Big Bang”

Which teaching week every course was added or dropped during Which teaching week every course was added or dropped during semester semester –– from 6 weeks or more prior to Week 1 to 10 or more from 6 weeks or more prior to Week 1 to 10 or more weeks into termweeks into term–– NB vacations not considered teaching weeks NB vacations not considered teaching weeks

OP Score / Rank on entry OP Score / Rank on entry but it isn’t quite where it should be yetbut it isn’t quite where it should be yetCohort Sequencing for Dummies Cohort Sequencing for Dummies

NNthth d b t d td b t d t–– NNth th program commenced by studentprogram commenced by student–– MM awards from this programawards from this program–– This is the This is the PPthth award receivedaward received–– This student has commenced This student has commenced XX programs overallprograms overallp gp g–– This student has This student has YY awards across all programsawards across all programs–– Probably by early 08Probably by early 08

Any significant requestsAny significant requests

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Gut Clenching Finger Crossing Gut Clenching Finger Crossing Demonstration TimeDemonstration Time

Remember Diefenbach’s 2 axioms ofRemember Diefenbach’s 2 axioms ofRemember Diefenbach s 2 axioms of Remember Diefenbach s 2 axioms of demonstrations:demonstrations:

“The chances of a demonstration working is“The chances of a demonstration working is–– The chances of a demonstration working is The chances of a demonstration working is inversely proportional to the square of the inversely proportional to the square of the organisational power and influence of the organisational power and influence of the g pg paudience”audience”

–– “The typing mistake rate increases “The typing mistake rate increases yp gyp gproportionally to proportionally to (n+1)(n+1)22 where where nn is the number is the number of observers”of observers”

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Questions?Questions?Questions?Questions?

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