LL Higher Ed BI 2014 Key BI Market Trends 20140513a

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’…”

Agenda
•  How data culture influences analytic results
•  Managing data quality issues: locally or
centrally?
•  Future market developments

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

How data culture affects analytic results,
Sponsored by Thomas Edison
“The value of an idea
lies in the using of it.”

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

…Universities are businesses

…we are at the dawn of a revolution.

“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.”

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.”

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!”

Centralised or local Data Quality
management?
Sponsored by Henry Ford
“Quality means doing it
right when no-one is
looking.”

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

To centralise or not to centralise?

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

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!

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
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

Future market developments,
Sponsored by Mahatma Gandhi
“The future depends on
what you do today.”

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?

“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!

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…

Get on the Cloud
… but security, privacy considerations are heightened.
In principle, it’s just another place to store data….

Visualisation: a picture paints a thousand words

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

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)

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

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/
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

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

For:%Selected'Facul+es'
Show:%1st,'2nd,'3rd'preferences'
Presenta/on%
Technology%(SAS%
BI,%Enterprise%
Guide,%Visual%
Analy/cs,%
PeopleSoA,%
Excel)
For:%Semester
Show:%Number'of'Students'
For:%Classes'by'+metable'period'
Show:%Number'of'students'enrolling'vs'
a@ending
For:%Selected'Programmes'
Show:%A@ri+on'rates'by'term'over'
years.
For:%Admission'rates'
Show:%BellJcurve'of'applica+ons'vs'
admissions'by'ATAR
For:%1st'Semester'Show:'Heatmap'
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
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'
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

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

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'
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'
For:/Classes'by'+metable'period'
Show:/Number'of'students'enrolling'vs'
aDending
For:/Selected'Programmes'
Show:/ADri+on'rates'by'term'over'
years.
For:/Admission'rates'
Show:/BellMcurve'of'applica+ons'vs'
admissions'by'ATAR
For:/1st'Semester'Show:'Heatmap'
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
HDA
DVC/
R
L&T'
Analyst
DVC/A
Faculty'
Admin
School'
Manager
Student'
Services
To/answer/[..]
Demographic/
star6ng/programme
Demographic/
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'
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

Conclusions & final thoughts,
Sponsored by Terry Pratchett
“It’s still magic even if
you know how it’s
done.”

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.”

“Whosoever desires constant
success must change his
conduct with the times.”
Change management is key!

Drivers of BI & Analytics Strategy
Informa2on

Management

&
BI

Strategy

Informa2on
&

Data
needs

Organisa2onal

Strategic

Direc2on

DG&IM
Best

Prac2ces

“To succeed in life, you need two things:
ignorance and confidence.”

Intellectual curiosity
Skeptical scrutiny
Critical thinking
http://www.informationaction.blogspot.com.au/
@Alan_D_Duncan
http://www.linkedin.com/in/alandduncan

LL Higher Ed BI 2014 Key BI Market Trends 20140513a

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