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LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
LL Higher Ed BI 2014 Key BI Market Trends 20140513a
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LL Higher Ed BI 2014 Key BI Market Trends 20140513a

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Business Intelligence, Analytics, Information Management & Data Governance trends for 2014/15 as they will affect the Tertiary Education sector.

Business Intelligence, Analytics, Information Management & Data Governance trends for 2014/15 as they will affect the Tertiary Education sector.

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  • 1. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes And their impacts for universities, Sponsored by Bob Dylan Key Business Intelligence Market Trends “There's a battle outside ragin’, It'll soon shake your windows and rattle your walls, For the times they are a-changin’…”
  • 2. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Agenda •  How data culture influences analytic results •  Managing data quality issues: locally or centrally? •  Future market developments
  • 3. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes A bit about me.... •  Formerly, Director of Data Governance at UNSW •  Advisory board member, QFire Software •  21 years Information Management & Business Consulting –  EDS, KPMG, CPW, Acuma, Pelion, SMS –  Scottish Power, United Distillers, O2, Astra Zeneca, Carphone Warehouse, Vodafone, Riyad Bank –  Commonwealth Bank, NSW Roads & Maritime Services, Centrelink, OATSIH, NSW Family & Community Services, CASA, AMSA, FaHCSIA, DAFF, Navy… •  Information-Management.com “Top 12 on Twitter” •  Best supporting Actor, 2005 Barnet Drama Festival
  • 4. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes How data culture affects analytic results, Sponsored by Thomas Edison “The value of an idea lies in the using of it.”
  • 5. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Drivers for improved BI & Analytics… Adoption of new information- processing technologies Massive Open Online Courses (MOOCs) Capabilities to meet unmet & changing business needs International competition in the Education Market
  • 6. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes …Universities are businesses
  • 7. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes …we are at the dawn of a revolution.
  • 8. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes “I object!” •  “I don’t know what you’re going to do with my data once you have it.” •  “If I give you my data, you might then ask me to do some extra work to meet your additional requirements.” •  “You may not interpret the data in the same way that I do.” •  “I’m an expert in this area, you’re not. The data is too complex for you to understand.” •  “It’s too difficult to get the data out of the system and I’d need help from I.T.” •  “I don’t have the budget to pay for your requirements.” •  “I’d like to help but I’m just far too busy.” •  “I know there are flaws in the data, but it’s good enough for my needs. You might criticize me for the errors.” •  “Management may ask additional questions and hold me to account for the work I’m doing”. “I’m not interested in preserving the status quo; I want to overthrow it.”
  • 9. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Information as a Service: “True Facts” Identify measurable and targeted Business Outcomes Why do we need information? For whom? What will we do differently? Establish DG Operating Model Who is accountable? By what processes? Execute Activities & Tasks How do we deliver? Who does the work? Confirm the Information Holdings & Gaps What do we need to provide? (Content + Context) Implement DG/IMCC Services Catalogue: What core capabilities do we need?“When it is obvious that the goals cannot be reached, don't adjust the goals, adjust the action steps.”
  • 10. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Summary: outcomes of change of culture •  Stimulus to improve data quality •  Consistency of data definitions •  Openness and trust •  Transparency & accountability •  Opportunity value •  Proactive publication and Open Data vs. “Need to know” “Publish and be damned!”
  • 11. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Centralised or local Data Quality management? Sponsored by Henry Ford “Quality means doing it right when no-one is looking.”
  • 12. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Some university examples (not UNSW!) •  Sample of problems found with student registration data include: –  Students more than 2000 years old –  Students not yet born •  Course sections that took place before the college was established •  Course sections that ended before they started •  Registration clerks who “make up” program, course, and course section codes •  Duplicate records, such as: - •  Students with more than one ID number. •  Students registered in the same course section multiple times. •  Inappropriate application of demographic flags •  Information provided by students but not recorded in admin system
  • 13. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes To centralise or not to centralise?
  • 14. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Identifying Owner & Stewards Typically, there are significantly more unconscious Owners and Stewards All key stakeholders in the Assets driven by an informal structure Business pain is felt but has no means of consistent resolution Conscious Owners and Stewards Responsibilities blurred and lack of understanding of the relationship and how it should work Owners are accountable for driving up the level of consciousness
  • 15. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Assigning Ownership & Stewardship: be careful! Plan Construct, Create, Acquire Commission, Organise, Store Access Use Assess Maintain Retire • Rigorously evaluate the decision at the earliest stages of a proposal before investing in new or replacement assets. • Manage the procurement whether it be a construction, purchase, lease or service • Minimise the cost and risk of ownership with effective maintenance strategies and procedures. • Manage operational costs. • Evaluate the level of investment in assets to identify functional or physical obsolescence, financial viability, re- use opportunities and areas of unacceptable risk. • Consult with stakeholders and plan for disposal of assets. • Examine all options to achieve service delivery objectives and meet business requirements. Information Owner Chief  Steward  &  IMCC  (cross-­‐func7onal,  cross  domain)   Business Process Business Process Business Process Business Process Business Process Information Stewards NB  Risk  Point:  Owner  of  data  acquisi2on   process  may  not  be  the  most  appropriate   owner  for  the  informa2on  asset!  
  • 16. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Example: UNSW Approach Legal Ownership UNSW Data Governance Steering Committee Data Governance Business Advisory Group Sub-Groups per Information Domain Management UNSW Director Data Governance Ownership Stewardship Data Steward(s) StrategyOperation Data Owner Convenes Responsible Chairs Supports Action Projects Advisory & Assurance Advisory & Assurance Advisory & Assurance Business-As-Usual Processes Process & Culture Change Process & Culture Change Process & Culture Change Input Champion Executive Team UNSW IT Committee Business Domain Owners Advisory Group Data Governance Steering Committee Business Domains Business Domains Business Domains Business Domains Business Domains Business Domains DG Business Advisory Group Data Owner (chair) Data Stewards Information Users Advisors Appropriate Project Managers Investment Priorities
  • 17. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Future market developments, Sponsored by Mahatma Gandhi “The future depends on what you do today.”
  • 18. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Analytics & BI > Predictive, not reactive “The alchemists in their search for gold discovered many other things of greater value.” •  “Traditional” BI (reporting & ad-hoc analysis) is a bare-minimum foundation, not Nirvana! •  We need to be doing much more predictive & proactive analysis –  Lead indicators & models –  Data mining, statistical modelling –  Textual analytics •  What questions do we want to answer? •  What questions can we answer with the data we’ve got? •  What other data would we need? •  What does data tell us we should be asking?
  • 19. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes “Big Data” is a fact of life •  Three, four, five, six “Vees”?! •  A lot of data (Tb/day) •  Streaming data (monitoring, flow-of-control and alerting analytics) •  Inference from semi-structured data (Twitter, Facebook) •  Synthesise insight from millions of pages of text •  Programmatic analysis for specific scenarios (hard in SQL) •  A disruptive catalyst to put information at the top of the organisational agenda •  Not just about the data! Business scenarios are key •  Beware the Vendors!
  • 20. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes All of the data, all of the time •  Granular, forensic history •  Modern data management & analytics solutions can make “all of the data, all of the time” a reality •  The bigger challenge is that the business community is not analytically skilled enough to navigate the data and draw meaning from it…
  • 21. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Get on the Cloud … but security, privacy considerations are heightened. In principle, it’s just another place to store data….
  • 22. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Visualisation: a picture paints a thousand words
  • 23. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Don’t forget the foundations! EIM Framework: Enterprise Information Management Framework describes each aspect of an organisations information management state, provides a baseline of maturity against best practice and a framework of business transformation to your aspirational information management state. Provides linkage and balance between business,/IT, and human/technical aspects of EIM. Information Governance Information Security Information Asset Mgmt Metadata Ownership & Stewardship Information and IM Strategy and Planning Information and IM Quality Mgmt Information Asset Classification Intellectual Property Reporting design Analytics Information Security Policy and Governance Asset Management Human Resources Security Management Knowledge Transfer Data Mining Data WarehousingBusiness Intelligence Information IM Workforce Management Information and IM Risk Management Registration Data Modelling Data management Data Integration Data Cleansing Data Capture Data Migration Data De-duplication Record Keeping Knowledge Management Information Asset Access and Use Management Privacy Publishing Copyright Physical and Environmental Management Communications and Operations Management Information Security Incident Management Access Management Information system acquisition, development and maintenance management Compliance Management Information and IM Policy, Principles and Architecture Information and IM Governance Processes Meta Knowledge Search and Discovery ExchangePricing Licensing and Rights Management Assess and Accessibility Redress Mechanisms Data Quality and Integrity Data Conversion & Transformation Record Management Archiving Conservation and Preservation Record Creation and Capture Digital Continuity Collection Management Retrieval and Access Retention and Disposal Business Continuity Enterprise  Informa4on  Model   IM  Solu4ons  and  Technology  IM  Policies   Organisa4on  and  People  Data  Governance  Informa4on  Culture   IM  Processes   Metadata Repository Master Data Repositories UNSW Core Systems Information Asset Register Physical Instantiations Physical Layer Logical Layer (Transition) Analytical DB Models Cubes Conceptual Layer (Business) Physical Messages Formats DWH DB HR DB Student Admin etc... Operational DB Models Reference models Data Subject Areas Data Entities Data Attributes Information Concepts Business Content Business Rules Data Business Data Element Domain Values Endorsed Standards for Content Business Constraints Business Measures Master data models Classification Entity Hierarchies Mappings Business Rules Definitions Business Constraints Business Measures Core SystemsMDM MetadataManagementProcess InformationModelManagementProcess InformationAlliances:DataOwnership&StewardshipProcess MDM Processes Related Data Governance Processes Application Logical Data Models Logical Message Schemas MDM Data Model Systems Data Models SOA/EP MessagesG/L Application Logical Data Models Logical Message Schemas Analytical DB Models Cubes Physical Messages Formats Operational DB Models Business Glossary Conceptual Model: Groupings & Relationships Data Elements, Definitions, Aliases, and Security Data Domains Enterprise Information Model
  • 24. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Summary: Supporting Information Use Cases •  Based on our current understanding of business needs, the following classes of Information Use Case are identified •  Detailed Requirements Analysis should be conducted on a project-by-project basis to explore any detailed Use Cases within each class •  Not all detailed Use Cases need to be defined ahead of time •  Solutions should be flexible to accommodate new and changing Use Cases Structured   data   repor2ng   Strategic   Intelligence   and  Data   Mining   Publish   content  to  a   community   Execu2ve   briefings    Educa2on,   Training,   Learning   Search  for   content   previously   created   Records   Management,   Compliance  &   Audit   GIPA  &   Privacy   Responses   Ability  to  publish   Filtering/screening/valida4on  of  what  gets  published   Feedback  loop,  measure  of  usefulness  &  con4nuous  improvement   Shared  understanding  (IT  &  Business)  
  • 25. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Student Lifecycle example Sponsored by Alfred North Whitehead “The art of progress is to preserve order amid change and to preserve change amid order.” Information Use Cases - Example
  • 26. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Example: Student Lifecycle Dev Test Architectural/Alignment Informa6on/Governance Measures Uses/(indica6ve/report)...Requires/change/where... Outstanding/ learning/experience Engaging/campus/ environment For:/Selected'Facul+es' Show:/1st,'2nd,'3rd'preferences' and'actual'Programme'entered AHract/students/of/ highest/calibre SQL/Stream/ processing Set/relevant/ curricula Enriched/or/ translated/ data/(LTS) Relevant/ historic/data/ (DW,/ODS/&/ ETL) Data/ Analy6cs Learning/relevant/ to/professional/ careers Iden6fy/problem/ programmes Predict//best/mix/of/ offers/for/ demographic/ cohorts/of/ applicants Predict/compe66ve/ impacts Iden6fy/highest/risk/ areas/WRT/student/ dropouts Deregulated/ Domes6c/ Market Online/ learning Increased/ Student/ Numbers Enhanced/ Reputa6on Iden6fy/historic/ student/applica6on/ enrolment/ gradua6on/rates Iden6fy/student/ sa6sfac6on Presenta6on/ Technology/(SAS/ BI,/Enterprise/ Guide,/Visual/ Analy6cs,/ PeopleSoW,/ Excel) Explicit/and/ transparent/ decisions Iden6fy/op6mal/ investment/level Strategic/Outcomes Based/on/(evidence)..Drivers Processing Markets/HDA/ programmes Change/programme/ curricula Train///aHract/ academic/staff Upgrade/facili6es Encourage/ innova6on/and/ entrepreneurship/ within/Academic/ Offerings Interven6ons/to/at/ risk/students ac6on Does... Content Internal Technical Support Report' Interpreta+on' Support Report Produc+on Support For:/Semester Show:/Number'of'Students' enrolled'by'Programme'&'Class For:/Classes'by'+metable'period' Show:/Number'of'students'enrolling'vs' aDending For:'Higher'Degree'Awards' Show:'Prior'Undergraduate'Degree For:/Selected'Programmes' Show:/ADri+on'rates'by'term'over' Programme'lifecycle,'for'last'four' years. For:/Admission'rates' Show:/BellMcurve'of'applica+ons'vs' admissions'by'ATAR For:/1st'Semester'Show:'Heatmap' of'pass/fail'for'1st'class'studied'vs' 2nd'class'studied' SiMS AIMS UAC Time table Hand book Arch ibus Uni Forum EMR Echo Moodle Source Technology Decision Student/Numbers/// EFTSL Revenue Fixed/period/ (month,/semester,/ year) User/defined/period Pass/rate/of/2nd/ class/studied Student/admissions/ by/ATAR Number/of/students/ star6ng/programme Applica6ons/by/ ATAR Number/of/students/ comple6ng/stage 1st/class/studied By/Cohort Number/of/students/ enrolled Over/the/(space)... Over/the/period/(6me)... Iden6fy/(show)... By/School///Faculty Primary/content... Compared/to... (User/defined/ period)/best/travel/ 6me Number/of/students/ enrolled/in/class Completion rates for HDA DVC/ R L&T' Analyst DVC/A Faculty' Admin School' Manager Student' Services To/answer/[..] Demographic/ cohorts/of/students/ star6ng/programme Demographic/ cohorts/of/students/ comple6ng/ programme By/answering/... Are/student/numbers/vola6le? Did/the/aHendance/for/this/course/fall/ within/expected/ranges What/was/the/cause(s)/of/[this]//being/ outside/of/expecta6on? What/was/the/cause(s)/of/[this]/ vola6lity? Is/the/difference/between/enrolments/ and/gradua6ons/acceptable? What/factors/determine/applica6ons/ &/acceptances/for/each/programme? What/factors/are/affec6ng/pass/rates? Is/there/a/scheduling/conflict/ between/research/and/teaching? List/of/staff/qualified/ to/teach/enrolled/ courses. Assignment/of/staff/ to/classes Who/&/what/is/influencing/students/ to/aHend/not/aHend/UNSW?/ Are/we/pricing/our/programmes/ compe66vely/enough? Which/classes/are/successful? How/many/students/do/we/have? What/classes/are/they/studying? Use/data/type... Student/Preferences/ by/Rank Student/admissions/ by/prior/degree All/captured/periods By/Career What/situa6onal/factors/affect/ student/sa6sfac6on///complaints When/and/where/will/problems/ occur? What/will/the/impact/of/[this]/ problem/be? Which/lecturers/are/successfully/ achieving/student/outcomes? What/external/pressures/and/what/ are/the/poten6al/impacts? How/long/will/it/take/to/engage/a/ student/from/ini6al/contact? What/new/programmes/should/we/be/ offering/to/keep/pace/with/industry? What/are/other/universi6es/doing? What/factors/affect/applica6on/rates? Admissions/by/ Programme Speed How/to/respond/to/ac6vity/of/other/ universi6es/(domes6c/abroad)? AdvanceM ment' Analyst Admits Staff'List Access' course' notes Marks Applica+on Progress'Status Lecture' aDendance EVENTSCONTEXT Language Address Delivery' methods Schedul e Resources Supervisor Country Program,' Course,' Class Org'Unit CATEI Loca+ons Bench mark With/(op6onal/condi6on) Entry/Criteria Student/ Applica6on Output/context/ (e.g./DEEWR,/ UniForum) Target/Forecast,/ Plan/Scenario,/ Budget/Actual Curriculum Funding/sources LeversDrivers Business/logic... System/steward ePlan. InputsPresenta6on/Output UAT///SI Produc6on Server DBMS Licensing External' Technical Support Calumo Source' System' Admin Presenta6on/ Media/(Web/ Portal,/PC/ client,/ Dashboard,/ Mobile/Device,/ Tablet) Analy+cs' Expert Analy+cs'Engine By/showing/... In/format... On/channel... Academic' Board Alumni Rela+on Dean Exec' Team Because/[..] VC/ AC Marke+ng Applica6on Defini6ons/ (Business/ Glossary) Quality/data/(DQ) Presenta6on/ Content Informa6on/ Release/ Governance Presenta6on/ Format Informa6on/ Architecture/&/ Data/Schema Detailed/Business/ rules/for/ calcula6ons Informa6on/ lifecycle/ management Informa6on/ Stewardship Data' Sourcing' Contracts System'X System'Y System'Z Student/Analy6cs/Concept/Blueprint Demographics Supervisor At/Lifecycle/Stage Programme/// Course///Class Entry/Channel Internat./ Compe66on New/and/ maximised/income Effec6ve/alloca6on/ of/resources Admission HR Data/integra6on/ (ETL,/SOA) Number/of/students/ aHending/class For:/Academic'Year Show:/Modelling'of'trends'for' enrolments For:/Current'Period,'by'cohort Show:/Prospect'list'by'contact' channel'and'area'of'interest Survey/of/predicted/ enrolment/cohort Trends/in/ enrolments Future/student/ contact/events/and/ status/of/interac6on Communica6on/ channel/and/contact/ type For:/Top'100'Universi+es' worldwide Show:/Pricing'and'enrolment' details'per'programme Benchmarking/of/ price/programmes Applica6on/rates/ for/UNSW/ programmes Finance Advise/on/financial/ implica6ons/to/ proposed/changes/ to/Academic/ programmes Model/income/ scenarios/and/ impacts/on/revenue/ streams
  • 27. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Dev Test SQL*Stream* processing Enriched*or* translated* data*(LTS) Relevant* historic*data* (DW,*ODS*&* ETL) Data* AnalyAcs AIMS UAC Time table Hand book Arch ibus Uni Forum EMR Echo Moodle Student*Numbers*/* EFTSL Revenue Fixed*period* (month,*semester,* year) User*defined*period By*Cohort Over*the*period*(Ame)... By*School*/*Faculty All*captured*periods By*Career Admits Staff5List Access5 course5 notes Marks Progress5Status Lecture5 a?endance EVENTSCONTEXT Language Address Schedul e Resources Supervisor Country Program,5 Course,5 Class Org5Unit CATEI Loca<ons Bench mark With*(opAonal*condiAon) Entry*Criteria Student* ApplicaAon Output*context* (e.g.*DEEWR,* UniForum) Target/Forecast,* Plan/Scenario,* Budget/Actual Funding*sources ePlan. UAT*/*SI ProducAon Server DBMS Licensing Calumo Analy<cs5Engine System5X System5Y System5Z Demographics Supervisor At*Lifecycle*Stage Programme*/* Course*/*Class Entry*Channel Admission HR
  • 28. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes For:%Selected'Facul+es' Show:%1st,'2nd,'3rd'preferences' and'actual'Programme'entered Presenta/on% Technology%(SAS% BI,%Enterprise% Guide,%Visual% Analy/cs,% PeopleSoA,% Excel) For:%Semester Show:%Number'of'Students' enrolled'by'Programme'&'Class For:%Classes'by'+metable'period' Show:%Number'of'students'enrolling'vs' a@ending For:'Higher'Degree'Awards' Show:'Prior'Undergraduate'Degree For:%Selected'Programmes' Show:%A@ri+on'rates'by'term'over' Programme'lifecycle,'for'last'four' years. For:%Admission'rates' Show:%BellJcurve'of'applica+ons'vs' admissions'by'ATAR For:%1st'Semester'Show:'Heatmap' of'pass/fail'for'1st'class'studied'vs' 2nd'class'studied' Pass%rate%of%2nd% class%studied Student%admissions% by%ATAR Number%of%students% star/ng%programme Applica/ons%by% ATAR Number%of%students% comple/ng%stage 1st%class%studied Number%of%students% enrolled (User%defined% period)%best%travel% /me Number%of%students% enrolled%in%class Completion rates for HDA DVC/ R L&T' Analyst DVC/A Faculty' Admin School' Manager Student' Services Demographic% cohorts%of%students% star/ng%programme Demographic% cohorts%of%students% comple/ng% programme List%of%staff%qualified% to%teach%enrolled% courses. Assignment%of%staff% to%classes Student%Preferences% by%Rank Student%admissions% by%prior%degree Admissions%by% Programme Speed AdvanceJ ment' Analyst Presenta/on% Media%(Web% Portal,%PC% client,% Dashboard,% Mobile%Device,% Tablet) Number%of%students% aWending%class For:%Academic'Year Show:%Modelling'of'trends'for' enrolments For:%Current'Period,'by'cohort Show:%Prospect'list'by'contact' channel'and'area'of'interest Survey%of%predicted% enrolment%cohort Trends%in% enrolments Future%student% contact%events%and% status%of%interac/on Communica/on% channel%and%contact% type Benchmarking%of% price/programmes Applica/on%rates% for%UNSW% programmes
  • 29. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Outstanding* learning*experience Engaging*campus* environment A6ract*students*of* highest*calibre Set*relevant* curricula Learning*relevant* to*professional* careers Iden=fy*problem* programmes Predict**best*mix*of* offers*for* demographic* cohorts*of* applicants Predict*compe==ve* impacts Iden=fy*highest*risk* areas*WRT*student* dropouts Deregulated* Domes=c* Market Online* learning Increased* Student* Numbers Enhanced* Reputa=on Iden=fy*historic* student*applica=on/ enrolment/ gradua=on*rates Iden=fy*student* sa=sfac=on Explicit*and* transparent* decisions Iden=fy*op=mal* investment*level Markets*HDA* programmes Change*programme* curricula Train*/*a6ract* academic*staff Upgrade*facili=es Encourage* innova=on*and* entrepreneurship* within*Academic* Offerings Interven=ons*to*at* risk*students DVC/ R L&T) Analyst DVC/A Faculty) Admin School) Manager Student) Services Are*student*numbers*vola=le? Did*the*a6endance*for*this*course*fall* within*expected*ranges What*was*the*cause(s)*of*[this]**being* outside*of*expecta=on? What*was*the*cause(s)*of*[this]* vola=lity? Is*the*difference*between*enrolments* and*gradua=ons*acceptable? What*factors*determine*applica=ons* &*acceptances*for*each*programme? What*factors*are*affec=ng*pass*rates? Is*there*a*scheduling*conflict* between*research*and*teaching? Who*&*what*is*influencing*students* Which*classes*are*successful? How*many*students*do*we*have? What*classes*are*they*studying? What*situa=onal*factors*affect* student*sa=sfac=on*/*complaints When*and*where*will*problems* occur? What*will*the*impact*of*[this]* problem*be? Which*lecturers*are*successfully* achieving*student*outcomes? What*external*pressures*and*what* are*the*poten=al*impacts? How*long*will*it*take*to*engage*a* student*from*ini=al*contact? What*new*programmes*should*we*be* offering*to*keep*pace*with*industry? What*are*other*universi=es*doing? What*factors*affect*applica=on*rates? Advance? ment) Analyst Academic) Board Alumni RelaAon Dean Exec) Team VC/ AC MarkeAng Internat.* Compe==on New*and* maximised*income Effec=ve*alloca=on* of*resources Finance Advise*on*financial* implica=ons*to* proposed*changes* to*Academic* programmes Model*income* scenarios*and* impacts*on*revenue* streams
  • 30. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Summary: identifying opportunities & gaps Dev Test Architectural/Alignment Informa6on/Governance Measures Uses/(indica6ve/report)...Requires/change/where... Outstanding/ learning/experience Engaging/campus/ environment For:/Selected'Facul+es' Show:/1st,'2nd,'3rd'preferences' and'actual'Programme'entered AHract/students/of/ highest/calibre SQL/Stream/ processing Set/relevant/ curricula Enriched/or/ translated/ data/(LTS) Relevant/ historic/data/ (DW,/ODS/&/ ETL) Data/ Analy6cs Learning/relevant/ to/professional/ careers Iden6fy/problem/ programmes Predict//best/mix/of/ offers/for/ demographic/ cohorts/of/ applicants Predict/compe66ve/ impacts Iden6fy/highest/risk/ areas/WRT/student/ dropouts Deregulated/ Domes6c/ Market Online/ learning Increased/ Student/ Numbers Enhanced/ Reputa6on Iden6fy/historic/ student/applica6on/ enrolment/ gradua6on/rates Iden6fy/student/ sa6sfac6on Presenta6on/ Technology/(SAS/ BI,/Enterprise/ Guide,/Visual/ Analy6cs,/ PeopleSoW,/ Excel) Explicit/and/ transparent/ decisions Iden6fy/op6mal/ investment/level Strategic/Outcomes Based/on/(evidence)..Drivers Processing Markets/HDA/ programmes Change/programme/ curricula Train///aHract/ academic/staff Upgrade/facili6es Encourage/ innova6on/and/ entrepreneurship/ within/Academic/ Offerings Interven6ons/to/at/ risk/students ac6on Does... Content Internal Technical Support Report' Interpreta+on' Support Report Produc+on Support For:/Semester Show:/Number'of'Students' enrolled'by'Programme'&'Class For:/Classes'by'+metable'period' Show:/Number'of'students'enrolling'vs' aDending For:'Higher'Degree'Awards' Show:'Prior'Undergraduate'Degree For:/Selected'Programmes' Show:/ADri+on'rates'by'term'over' Programme'lifecycle,'for'last'four' years. For:/Admission'rates' Show:/BellMcurve'of'applica+ons'vs' admissions'by'ATAR For:/1st'Semester'Show:'Heatmap' of'pass/fail'for'1st'class'studied'vs' 2nd'class'studied' SiMS AIMS UAC Time table Hand book Arch ibus Uni Forum EMR Echo Moodle Source Technology Decision Student/Numbers/// EFTSL Revenue Fixed/period/ (month,/semester,/ year) User/defined/period Pass/rate/of/2nd/ class/studied Student/admissions/ by/ATAR Number/of/students/ star6ng/programme Applica6ons/by/ ATAR Number/of/students/ comple6ng/stage 1st/class/studied By/Cohort Number/of/students/ enrolled Over/the/(space)... Over/the/period/(6me)... Iden6fy/(show)... By/School///Faculty Primary/content... Compared/to... (User/defined/ period)/best/travel/ 6me Number/of/students/ enrolled/in/class Completion rates for HDA DVC/ R L&T' Analyst DVC/A Faculty' Admin School' Manager Student' Services To/answer/[..] Demographic/ cohorts/of/students/ star6ng/programme Demographic/ cohorts/of/students/ comple6ng/ programme By/answering/... Are/student/numbers/vola6le? Did/the/aHendance/for/this/course/fall/ within/expected/ranges What/was/the/cause(s)/of/[this]//being/ outside/of/expecta6on? What/was/the/cause(s)/of/[this]/ vola6lity? Is/the/difference/between/enrolments/ and/gradua6ons/acceptable? What/factors/determine/applica6ons/ &/acceptances/for/each/programme? What/factors/are/affec6ng/pass/rates? Is/there/a/scheduling/conflict/ between/research/and/teaching? List/of/staff/qualified/ to/teach/enrolled/ courses. Assignment/of/staff/ to/classes Who/&/what/is/influencing/students/ to/aHend/not/aHend/UNSW?/ Are/we/pricing/our/programmes/ compe66vely/enough? Which/classes/are/successful? How/many/students/do/we/have? What/classes/are/they/studying? Use/data/type... Student/Preferences/ by/Rank Student/admissions/ by/prior/degree All/captured/periods By/Career What/situa6onal/factors/affect/ student/sa6sfac6on///complaints When/and/where/will/problems/ occur? What/will/the/impact/of/[this]/ problem/be? Which/lecturers/are/successfully/ achieving/student/outcomes? What/external/pressures/and/what/ are/the/poten6al/impacts? How/long/will/it/take/to/engage/a/ student/from/ini6al/contact? What/new/programmes/should/we/be/ offering/to/keep/pace/with/industry? What/are/other/universi6es/doing? What/factors/affect/applica6on/rates? Admissions/by/ Programme Speed How/to/respond/to/ac6vity/of/other/ universi6es/(domes6c/abroad)? AdvanceM ment' Analyst Admits Staff'List Access' course' notes Marks Applica+on Progress'Status Lecture' aDendance EVENTSCONTEXT Language Address Delivery' methods Schedul e Resources Supervisor Country Program,' Course,' Class Org'Unit CATEI Loca+ons Bench mark With/(op6onal/condi6on) Entry/Criteria Student/ Applica6on Output/context/ (e.g./DEEWR,/ UniForum) Target/Forecast,/ Plan/Scenario,/ Budget/Actual Curriculum Funding/sources LeversDrivers Business/logic... System/steward ePlan. InputsPresenta6on/Output UAT///SI Produc6on Server DBMS Licensing External' Technical Support Calumo Source' System' Admin Presenta6on/ Media/(Web/ Portal,/PC/ client,/ Dashboard,/ Mobile/Device,/ Tablet) Analy+cs' Expert Analy+cs'Engine By/showing/... In/format... On/channel... Academic' Board Alumni Rela+on Dean Exec' Team Because/[..] VC/ AC Marke+ng Applica6on Defini6ons/ (Business/ Glossary) Quality/data/(DQ) Presenta6on/ Content Informa6on/ Release/ Governance Presenta6on/ Format Informa6on/ Architecture/&/ Data/Schema Detailed/Business/ rules/for/ calcula6ons Informa6on/ lifecycle/ management Informa6on/ Stewardship Data' Sourcing' Contracts System'X System'Y System'Z Student/Analy6cs/Concept/Blueprint Demographics Supervisor At/Lifecycle/Stage Programme/// Course///Class Entry/Channel Internat./ Compe66on New/and/ maximised/income Effec6ve/alloca6on/ of/resources Admission HR Data/integra6on/ (ETL,/SOA) Number/of/students/ aHending/class For:/Academic'Year Show:/Modelling'of'trends'for' enrolments For:/Current'Period,'by'cohort Show:/Prospect'list'by'contact' channel'and'area'of'interest Survey/of/predicted/ enrolment/cohort Trends/in/ enrolments Future/student/ contact/events/and/ status/of/interac6on Communica6on/ channel/and/contact/ type For:/Top'100'Universi+es' worldwide Show:/Pricing'and'enrolment' details'per'programme Benchmarking/of/ price/programmes Applica6on/rates/ for/UNSW/ programmes Finance Advise/on/financial/ implica6ons/to/ proposed/changes/ to/Academic/ programmes Model/income/ scenarios/and/ impacts/on/revenue/ streams
  • 31. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Conclusions & final thoughts, Sponsored by Terry Pratchett “It’s still magic even if you know how it’s done.”
  • 32. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Evidence-based decision-making and a Collaboration Culture •  A general willingness to share information •  Co-operative, communicative & collegiate •  The “whose data is this?” cue •  Calls-to-action? •  Accountability & measurement? •  “Info as a Product” – narrative is everything. “Respond intelligently even to unintelligent treatment.”
  • 33. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes “Whosoever desires constant success must change his conduct with the times.” Change management is key!
  • 34. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Drivers of BI & Analytics Strategy Informa2on   Management   &  BI    Strategy   Informa2on  &   Data  needs   Organisa2onal   Strategic   Direc2on   DG&IM  Best   Prac2ces  
  • 35. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes “To succeed in life, you need two things: ignorance and confidence.”
  • 36. Alan D. Duncan http://nformationaction.blogspot.com Tw: @Alan_D_Duncan Information Strategy | Data Governance | Analytics | Better Business Outcomes Intellectual curiosity Skeptical scrutiny Critical thinking http://www.informationaction.blogspot.com.au/ @Alan_D_Duncan http://www.linkedin.com/in/alandduncan

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