dq asia pacific 2012
TRANSCRIPT
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8/3/2019 DQ Asia Pacific 2012
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The
Data
Evolution
www.dqasiapacif ic.com
Q
Daa Quali
2 0 1 2Asia Pacific
Cngress
Enerprise Daa Managemen
Lining DQ Business Resuls
Change
Bes Pracice
Daa Quali FramewrsMaser Daa Managemen
27 - 29 March 2012 : Ciigae Cenral Sdne, AusraliaD
Feauring he 3rd Annual
Daa Quali Asia Pacific Awards
ING DIRECt
DAvID JoNES
DEAkIN UNIvERSIty
FIRE AND RESCUE NSW
AUStRALIA PoSt
ACt HEALtH
tELStRA
UNIvERSIty oF QUEENSLAND
Suppred b
C. Lwanga yne
Indusr Anals and Adisr
Inernainal Assciain fr Infrmain and Daa Quali (IAIDQ)
Daid Plin
Daa Gernance Manager
Ban f America
Alan Duncan
Pracice Leader Infrmain and Daa Managemen
SMS managemen and technlg
Malclm Wansall
Independen Business Inelligence Anals
Mand Maca
team Leader Daa Quali
Capial and Cas Disric Healh Bard New Zealand
Suzanne Acar
Senir Enerprise Infrmain Sraegis and Lecurer
Graduae Schl USA
AND
Hear frm:
Cngress Parners
Lead Crprae Parner
Exhibir
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Daa Quali2 0 1 2 Asia Pacific Cngress
this ear, he Daa Quali Asia Pacific Cngress 2012 fcuses n he new challenges f daa
quali. Wih he demands f eling business needs, rapidl deelping echnlg and
eer-increasing daa lume, daa quali prfessinals mus hae he pracical sills and
nw-hw effeciel respnd hese challenges.
A he Daa Quali Asia Pacific Cngress 2012, exper speaers in daa quali frm arund he
wrld will bring u up dae infrmain n managing unsrucured and cmplex daa, maser daa
managemen, effecie daa gernance and cmmunicaing abu daa quali acrss ur
rganisain.
Daa Quali Asia Pacific Award 2012
Welcme
the Daa Quali Asia Pacific Award (DQ APAC Award) recgnises usanding achieemen in he
field f daa quali, celebraes he principles ha define he discipline and highlighs
emerging rends wihin he field. Candidaes are judged fr he award n he basis f prjec
innain and a se f daa quali principles deelped b he Inernainal Assciain fr
Infrmain and Daa Quali (IAIDQ).
the judging panel selecs w finaliss fr he award based n he crieria, and bh are inied
presen heir prjec in a case sud frma a he Daa Quali Asia Pacific Cngress 2012.
twier: #daa Faceb: hp://in.cc/jwA LinedIn: hp://inurl.cm/DQlinedin
IAIDQ General Meeing
All are inied aend his meeing ge he laes updae n IAIDQ aciiies including he
IQ cerificain (IQCP). yu will als mee IAIDQ members, and newr wih hers wh share a
een ineres in infrmain quali. IAIDQ leaders will presen a brief eriew f 2012 gals
and slici ur inpu and ideas fr fuure plans. Add ur ice he cnersain!
triia Hun
the DQ triia Hun is bac again. this ppular par f he een, will hae u asing quesins
and rading answers. once u d, u hae a chance win sme brillian prizes.
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Daa Quali2 0 1 2 Asia Pacific CngressDa one: tuesda, 27 March 20128.30 Registration and refreshments
9.00 Chairpersons opening remarks
9.15 The five most dangerous questions in information quality
As informaion qualiy maures, several conroversial quesions and opics
sill remain and ofen cause passionae debaes inside organisaions, a
conferences, and in social neworks. this session will ackle hese issues
openly, discuss he opposing perspecives, and offer bes pracices leaders
can use o move heir organisaions forward.
the 5 ms dangerus quesins
Pins and cunerpins
the wa frward
C. Lwanga Yonke, Industry Analyst and Advisor,
International Association for Information and Data Quality (IAIDQ)
10.00 Partner Presentation TBA
10:45 Morning refreshments and networking
11.15 Managing complex and diverse data sources
Ensuring he quali f cmplex and specialised daa
Cnslidaing dierse daa sreams frm muliple surces
Appling a quali sandard acrss heergenus daa
Shaun Coppard, Commercial Database Manager, Australia Post
12.00 Developing an integrated metadata framework
Frmall defining meadaa
Deelping an inegraed meadaa framewr fr nwledge wrers and
echnical saehlders
Faciliaing infrmain lineage and accunabili in business
inelligence enirnmen
Dr William Yeoh, Lecturer, Deakin University
12.45 Networking lunch
1.30 DQ Asia Pacific Award
Ark and IAIDQ are proud o presen he third Annual DQ Asia Pacific Award.
this session will feaure presenaions by his years finaliss, seleced by
an exper panel of IAIDQ members.
Daa Quali Asia Pacific Award 2012 Finalis #1
Daa Quali Asia Pacific Award 2012 Finalis #2
2.30 Big Data, New Physics, and Geospatial Super-Food
trisan Sernson, Managing Direcor, InfoReady
Jeff Jonas, Chief Scienis, IBM Eniy Analyics Group
3.00 Interactive panel discussion: Balancing the technical and business
requirements of data quality
In this session, delegates will have the opportunity to hear from our
panellists and engage in an interactive discussion about balancing the
technical and business requirements of data quality.
Undersanding he business needs f ur rganisain
Chsing ls fr bh echnical funcinali and business requiremens
Managing he cmpeing demands f echnical and business prcesses
Panelliss: David Plotkin, Data Governance Manager, Bank of America,
Suzanne Acar, Senior Enterprise Information Strategist and Lecturer,
Graduate School USA, Gaurav Patni, Technology Integration Leader,
David Jones
3.45 Afternoon refreshments and networking
4.15 Setting priorities in data quality projects
Resuls f a sud cnduced a DQ Asia Pacific Cngress 2011
Reprs n indusr percepins n ms significan facrs fr daa
quali prjec success
Daa quali facrs based n a large analsis f daa quali research
and indusr cnribuins frm he las 20 ears
Shazia Sadiq, Associate Professor, University of Queensland
5.00 Chairpersons closing remarks and end of day one
5.15 IAIDQ General Meeting: Open to all
Da tw - Wednesda, 28 March 20128.30 Registration and refreshments
9.00 Chairpersons opening remarks
9.15 Capturing and assessing a new data stream
Building a daa quali framewr in he prjec requiremens
Assessing he quali requiremens f a new daa sream
Appling exising daa quali rules newl capured daa
Mandy Mackay, Team Leader Data Quality,
Capital and Coast District Health Board New Zealand
10.00 Partner Presentation TBA
10.45 Morning refreshments and networking
11.15 Taking responsibility for data quality through governance
Undersanding he alue f a frmal daa gernance sraeg
Assessing ur rganisains daa gernance requiremens
Creaing a frmal daa gernance framewr
Decisin-maing and leadership in daa gernance
Daa quali as he reurn n inesmen fr daa gernance
the impac f daa gernance n daa quali impremen effrs
David Plotkin, Data Governance Manager, Bank of America
12.00 Master Data Management for omni-channel retailing
Consumer expecaions are changing fas, rendering radiional reail
daa managemen frameworks ou-daed. Demand for omni-channel shopping
requires reailers o connec disparae pieces of cusomer and produc
informaion across order enry sysems, produc caalogues, CRM sysems,
supply chains and all he res. Aend his session o learn:
Bes pracices fr deliering MDM in an mni-channel reail enirnmen
Framewr fr deelping MDM prjec radmap
ke aciiies and arefacs in MDM prjec lifeccle
Gaurav Patni, Technology Integration Leader, David Jones
12.45 Networking lunch
1.45 Engaging your entire organisation with data quality
Promoting data quality communication and collaboration across IT, sales
and marketing, human resources, procurement, finance and executive
management.
Educaing saehlders in he imprance f daa quali
Deciding wha u wan ur rganisain l lie, culurall
Changing habis and aiudes daa quali
Ensuring awareness f sandards hrughu ur rganisain
Mainaining he quali f user cnribued cnen and daa
Respnding inaccurae daa repring
Greg Nichelsen, Head of Business Intelligence, Customer Insight, ING Direct
2.30 DQ Asia Pacific Award Finalists 2011
The 2011 finalists for the Data Quality Asia Pacific Award will present
an update about the progress they have made in the past year.
Louise Edmonds, Senior Manager, Data Governance & Standards, ACT Health
Nonna Milmeister, Group Manager, Enterprise Data Quality, Telstra
3.15 Afternoon refreshments and networking
3.45 Applying your data quality framework to social media sources
Undersanding he imprance f scial media daa fr business
inelligence
Hw scial media daa differs frm radiinal cusmer daa
Inegraing unsrucured scial media daa in ur daa managemen
ssem
Appling ur exising daa quali framewr scial media daa
Asaf Ahmad, Corporate Information Manager, Fire and Rescue NSW
4.30 A strategic look at data
Appling perspecie b reiewing he pas
Maing a psiie case fr daa quali
Undersanding he curren challenges in daa
Embedding daa quali aciiies in ur rganisain
Suzanne Acar, Senior Enterprise Information Strategist and Lecturer,
Graduate School USA
5.15 Chairpersons closing remarks and end of the congress
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8/3/2019 DQ Asia Pacific 2012
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Daa Quali2 0 1 2 Asia Pacific Cngress
Da three: thursda, 29 March 2012
Wrshp A: Defining a balanced screcard fr daa
gernance
Regisrain: 8:30am
Wrshp sars: 9:00am
Wrshp ends: 12:15pm
Faciliaed b: C. Lwanga Yonke, Industry Analyst and
Advisor,International Association for Information and
Data Quality (IAIDQ)
Mre and mre cmpanies are cming erms wih he fac ha he need
hae a daa sewardship funcin in rder be effecie in cllecingmeadaa (including definiins, deriains, and daa quali rules), MDM,
and daa quali. A l has been said and spen abu wh sewardship is
impran, bu HoW d u d i and be effecie wih limied resurces
(in he real wrld)? this wrshp deails hw se up a daa
sewardship funcin, hw run i, he deails f managing he
sewardship cmmiee, recruiing help frm It fr echnical sewards, wha
he duies f he daa sewards are, and wha decisins he hae mae.
In addiin, i cers hw saff prjecs fr sewardship and funnel he
infrmain frm prjecs bac in he erall sewardship prcess. yu
will learn:
The relationship between governance and stewardship
How to build a governance and stewardship organisation
How to recruit stewards
What the stewards responsibilities are
What the stewardship process looks like
Hw brea up respnsibiliies b funcinal area
Resources you can use to minimise endless meetings
What the decision process is
the use f sewards fr prjecs
What and how to document decisions
e are liing hrugh an exciing ime f explding daa an eer-grwing
lehra f freel aailable and perinen daa is a ur dispsal helpih decisin maing ia hisrical and predicie analsis in he frm f
cial media. the majr caea being we hae find a wa pride
rucure he unsrucured, cnex he nn-cnexual and we mus d
n a er large scale. Mehds f aumaic classificain and machine
earning are helping cuing edge infrmain rganisains such as Ggle,
Ba and Amazn leerage full frm his incredible resurce. During his
rshp:
Uncover and demonstrate the techniques, tools and processes used to
leverage unstructured social data
Demonstrate how to establish and increase data quality in a low
quality data environment
Establish methods of classifying every changing unclassified
information to find hidden value and discreet classifications
Show where these methods can fit into your existing information or
data warehouse processesDescribe methods of articulating and selling the benefits of these
exercises to management
Regisrain: 12:30pm
Wrshp sars: 1:00pm
Wrshp ends: 4:00pm
Faciliaed b: Malcolm Wanstall, Independent Business
Intelligence Analyst
Fr mre infrmain n ur wrshp faciliars please isi www.dqasiapacific.com
Wrshp D: Building a daa sewardship pracice
Regisrain: 12:30pm
Wrshp sars: 1:00pm
Wrshp ends: 4:00pm
Faciliaed b: David Plotkin, Data Governance Manager,
Bank of America
Wrshp B: the changing faces f daa gernance:
whs wh in he daa z?
Regisrain: 8:30am
Wrshp sars: 9:00am
Wrshp ends: 12:00pm
Faciliaed b: Alan Duncan, Pracice Leader Informaion
and Daa Managemen,SMS Managemen and technology
Effecie daa gernance is all abu ensuring ha ur business is
deriing maximum alue frm is infrmain asses, while minimising ris
he rganisain. this requires ha ur rganisain successfull
execues a number f e prcesses suppr cnrl, ris managemen,
audiabili and benchmaring fr is daa.
Hweer, i als is necessar ensure ha he human facrs a pla
in he rganisain are successfull negiaed, and ha all necessar
paricipans are engaged paricipae in he daa gernance prcess.
this wrshp will equip u wih he undersanding f e human facrs
assciaed wih a successful rganisainal apprach daa gernance,
and fcuses n pracical mehds and prcesses f building an infrmain
cmmuni ha cllabraes effeciel achiee beer business alue.
yu will learn answer quesins such as:
What is data governance?
Who needs to be involved?
Should I centralize or federate data governance?
How do I get data governance on the business agenda?
The
Data
Evolutionrshp C: Finding srucure in a sea f randmness
echniques fr aumaic classificain in unsrucured daa
A balanced screcard prides daa gernance leaders a pwerful mehd
achiee hese gals and mre. Paricipans in his wrshp will learn hw
define a screcard ha is red n isin and sraeg and ha
balances fur essenial cmpnens f effecie perfrmance: financial,
nernal business prcesses, learning and grwh, and cusmer fcus. this
highl ineracie wrshp will be beneficial hse seeing enhance
he alue and effecieness f heir daa gernance funcin. Paricipans
will leae equipped wih a rbus echnique deelp r plish heir daa
gernance sraeg and urn i in effecie acin.
tpics include:
Identifying the vital few metrics
Linking metrics to organisational goals and business strategy
Establishing the right accountabilities
Metrics as the foundation for improvement
Avoiding the most common measurement traps
A checlis fr merics quali
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Data Quality 2012 Asia Pacific Congress27 - 29 March 2012 : Citigate Central Sydney, Australia
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