DQ Asia Pacific 2012

8/3/2019 DQ Asia Pacific 2012

1/5

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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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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Early Birdexp: 24/02/2012

$1395 + GSt = $1534.50Sae $200

Member Discount: Two-day CongressIIM, IAIDQ, RIMPA, ACS,DAMA, EII, MAANZ, tDWI,tCANZ, AStC vIC,

AStC NSW,Daa Quali Prexp: 24/02/2012

$1276 + GSt = $1403.60Sae 20%

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Workshop B $695 + GSt = $764.50

Workshop C $695 + GSt = $764.50

Workshop D $695 + GSt = $764.50

Data Quality 2012 Asia Pacific Congress27 - 29 March 2012 : Citigate Central Sydney, Australia

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DQ Asia Pacific 2012

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