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Session 14 June 2007
Mark Viney
ICT Technologies
IntroductionIntroduction
Mark Viney
ƒDirector, Technology Application for Economic Statistics GroupƒTechnology Application BranchƒTechnology Services Division ƒ[email protected]
www.abs.gov.au
Population = 21 million
Area = 7.7 million sq km
Coastline = 59 740 km
http://www.sentinel.csiro.au
AustraliaAustralia
We assist and encourage informed decision making, research and discussion within governments and the community, by leading a high quality, objective and responsive national statistical service.
Australian Bureau of Statistics
We assist and encourage informed decision making, research and discussion within governments and the community, by providing leading a high quality, objective and responsive national statistical service
Australian Bureau of Statistics
Australia - Population distribution
90% of Australia's populationcontained in 2.2% of the continent(mainly east and south-west coasts)
Australia - Summer Temperature
ABS Offices
Rainfall
Head office in Canberra
Offices in each Australian State and Territory
covers all "subject matters": Economic, Social, Health, Environment, Technology, Agriculture..
3600 staff
9 offices (in each State & Territory capital)
we publish 3 - 4 publications each working day
largely professional staff -
ƒ Maths/Statsƒ Economists ƒ ICTƒ Accountants
the ABS
Almost everything a statistical agency does can be supported by ICT
Today we will cover:
which technologies fit where in "statistical lifecycle"
Next 2 sessions: other applications of ICT (eg. knowledge management), future technologies, IT management
ICT Technologies
Hardware
3400 pc + 1100 laptop (Microsoft Windows XP SP2)
110 Windows servers (Windows server 2005)
1 Fujitsu mainframe (MSP OSIV)
8 Sun microsystems midrange servers (Solaris unix)
ICT TechnologiesWhat does the ABS use?
Infrastructure Software
SAS
ORACLE
Lotus Notes (Lotus smartsuite)
Blaise
Supercross
ICT TechnologiesWhat does the ABS use?
Applications Environment
SAS
ORACLE (PL SQL + Java SP)
Lotus Notes (Lotus script)
C, C++, C#, VB.net, Centura
ICT TechnologiesWhat does the ABS use?
IT Infrastructure
Statistical Infrastructure
Applications
"Business" Infrastructure
Layers of Technology
Servers and OS
PCs and notebooks
Networks - Local Area, Wide Area, Internet
Printers, plotters, scanners, disks, tape drives
Directories (assets, people)
Generic software packages:
ƒ Word, Spreadsheet, Databases (eg. Access, ORACLE) Web site
IT Infrastructure
Statistical Infrastructure
Applications
"Business" Infrastructure
IT Infrastructure
Shared Data capture systems
Meta data management systems
Business Register
Data Warehouses
Publishing systems
Statistical Packages: CSPro, SAS, Blaise, SPSS, FAME, PC-Axis...
IT Infrastructure
Statistical Infrastructure
Applications
"Business" Infrastructure
Statistical Infrastructure
systems common to businesses
regardless of business function
Financial Systems
Personnel Systems
can buy "off the shelf"
IT Infrastructure
Statistical Infrastructure
Applications
"Business" Infrastructure
Business Infrastructure
systems to support specific functions of the organisation
Statistical Applications
ƒ National Accountsƒ Population Census
Personnel Applications
ƒ leaveƒ travelƒ payroll
IT Infrastructure
Statistical Infrastructure
Applications
"Business" Infrastructure
Applications
INPUT THRUPUT OUTPUT
INPUT THRUPUT OUTPUT
INPUT THRUPUT OUTPUT
"Stove Pipe" approach
INPUT THRUPUT OUTPUT
Standardizedinterface
INPUT
INPUT
OUTPUT
OUTPUT
OUTPUT
OUTPUT
"Clearing-House" Approach
Standardizedinterface
INPUT THRUPUT OUTPUT
INPUT
INPUT
OUTPUT
OUTPUT
Meta Data Management
Data WarehousesStandards
IT Infrastructure
Statistical Infrastructure
Applications
"Business" Infrastructure
"Clearing-House" Approach
OUTPUT
OUTPUT
Standardizedinterface
Standardizedinterface
Design and Tune
Acquire Data Process Inputs Transform Inputs into Statistics
Analysis and Explanation
Assemble and Disseminate
Decision Support
Statistical "Lifecycle"
Manage Quality and Processes
Statistical Leadership
Project Management (MS Project)
Software Development Methodology (eg. Prince)
Overall Support
Form Design (eg. Word, PageMaker)
Mapping (eg. Mapinfo)
Interviewer instructions/ Training
Metadata stores:
standard questions
classifications
data item definitions
processing metadata
Design and Tune
Key Data Entry
OMR, OCR, ICR
Collection Registers
E-form (internet)
Scanning/ Repair
Coding - Automated/ Assisted
caTi - telephone
caPi - personal
Acquire Data
SAS
SPSS
Blaise
SQL database
Process Inputs
CSPro
Supercross
MS Access
SAS, SPSS, Blaise, CSPro, Supercross, Access
Confidentialisation - suppress cells which may disclose details of individuals
ƒTau Argus (Netherlands)ƒDAAS (ABS)
Transform Inputs into Statistics
SAS, SPSS
"OLAP" tools (eg. Brio, Discoverer, Pro Clarity, Cognos Powerplay)
Seasonal Adjustment
Graphics & graphs, thematic mapping
Analysis and Explanation
Desktop publishing (Word, Ventura, Pagemaker)
Datasets: spreadsheets, time series datasets, "cubes"
on-line data access services: CANSIM, PC-AXIS, INFOS, Beyond-20/20, SuperWeb, Cognos PowerPlay..
Assemble and Disseminate
telephone
internet
Decision Support
select a "standard" set of tools and methodologies and try and stick to them
Develop a plan for your shared "statistical infrastructure"
maintain skills
invest to keep existing systems "up to date"
Some suggestions...