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1 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010 Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting: “Getting statisticians to plan, monitor & report” Annette Myburgh Executive Manager: Programme Office Statistics South Africa 28 September 2010 to 1 October 2010
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Page 1: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

1 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Presentation to ASKN workshop, Dakar

Stats SA: Planning & reporting: “Getting statisticians to plan, monitor &

report”

Annette MyburghExecutive Manager: Programme Office

Statistics South Africa

28 September 2010 to 1 October 2010

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2 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Content

1. Statistics South Africa: Challenges regarding planning, budgeting & reporting

2. South Africa: Legislation on planning, budgeting, monitoring & reporting

3. South Africa: Planning, budgeting & reporting cycle of Government

4. Stats SA: Developed integrative planning, budgeting & reporting cycle

5. Stats SA: Key concepts in planning, budgeting & reporting

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Content

6. Stats SA: Developed planning & budgeting process

7. Stats SA: Strategic planning

8. Stats SA: Project & operational planning, budgeting & reporting by statisticians

9. Stats SA: Integrated outputs from operational planning

10. Stats SA: Management information reports

11. Stats SA: Management information website

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1. Statistics South Africa (Stats SA):Challenges regarding planning,

budgeting & reporting

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5 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Statisticians

1. Challenges faced by Stats SA

Lack of management experience & knowledge of planning, budgeting & reportingLack of capability & capacity in project & operational planning, budgeting & reportingLack of integration across functions, operations & projects during implementation Lack of coordination Lack of management information

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2. South Africa: Legislation on planning, budgeting, monitoring &

reporting

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7 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

As national government department Statistics South Africa has to comply with legislation regarding planning, monitoring & reporting (supplying performance information):

• Statistics Act (Act No. 6 of 1999)

• Public Finance Management Act (PMFA) (Act No. 1 of 1999)

• National Treasury Regulations for government departments (issued in terms of the PFMA) (May 2002)

• National Treasury Framework for Managing Programme Performance Information (May 2007)

2. Legislation on planning, budgeting & reporting

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8 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

3. South Africa: Planning, budgeting & reporting cycle of

Government

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9 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

OversightBy Parliament

Policy development

Strategic planning

INSTITUTIONStats SA

Implementation and in-year reporting

Specify performance

indicators

Set targets & allocate

resources

Monitor & take corrective action

Assess & adjust

Operational planning & budgeting

End-year reporting

3. Planning, budgeting & reporting cycle of Government

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4. Stats SA: Developed integrative planning, budgeting & reporting

cycle

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11 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

4. Integrative planning, budgeting & reporting cycle

Confirm Stats SA strategy

Cluster strategy, divisionstrategic plan, structure changes

Project & ops plans& MTEF budget

3 - 5 years

3 years

1 year (& next 2years)

Operations/services

Activities/servicesPr

ojec

ts

Quarterly reporting by divisions (quarterly

reporting to Minister & National Treasury)

Monthly reporting per project/activity/service

to EXCO/Minister/Treasury &

weekly/monthly reporting to

PSC/DDG/EM/Manager

Annual reporting by divisions (annual

reporting to Parliament)

Confirm prioritiesFinalise div strat plan,ops plans, ENE budget

Daily performance, & reporting at

team/progress meetings feeding into quarterly performance reports

Oct, Nov & Dec

DDGsEMsPMsOMs

TimeWho?

MarIndivi-duals

May & JunSub-mitJul

PMsOMs

Apr & early May

DDGsEMs

EarlyApr

SG DDGs

Oct, Nov & Dec

DDGsEMsPMsOMs

TimeWho?

MarIndivi-duals

May & JunSub-mitJul

PMsOMs

Apr & early May

DDGsEMs

EarlyApr

SG DDGs

Proj

ects

/re

curr

ing

proj

ects

Individualperformance

plans

1 year

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5. Stats SA: Key concepts in planning, budgeting & reporting

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IMPACT

OUTCOMES

OUTPUTS

ACTIVITIES

INPUTS

What we aim to change

What we wish to achieve

What we produce or deliver

What we do

What we use to do the work

Plan, budget, implement (operational planning & budgeting)

Manage towards achieving results (Strategic planning)

5. Key concepts in planning, budgeting & reporting

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6. Stats SA: Developed planning & budgeting process

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15 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

6. Planning & budgeting process

Cabinet Lekgotla

Government planning/ policy development

Stats SA integrated strategic & operational planning & budgeting

Confirm strategic & operational plans & budgets

MTSF/ National priorities

Programme of action

Strategic direction

Confirm strategic objectives

Strategic priorities

MTEF planning

3 year priorities & plans

Divisional strategic plans

1 year detail plan & budget

Operational plansMTEF request

OperationalPlanning & budgeting

April

January

April/ May

Cluster/Divisional strategic planning Oct/

Nov/Dec

Budget allocation – confirm 3-year plans

Stats SA’s work programme

May/ June

Confirm 1 year detail plan & budget

ENEOperational plans

OperationalPlanning & budgeting

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7. Stats SA: Strategic planning

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Vision of Stats SA

Your leading partner in quality statistics

17

7. Stats SA: Strategic planning

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18 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Mission of Stats SA

To lead and partner in statistical production

systems for evidence-based decisions

18

7. Stats SA: Strategic planning

Page 19: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

19 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

1. To expand the statistical information base by increasing its depth, breadth & geographic spread

2. To enhance public confidence & trust in statistics

3. To improve productivity & service delivery

4. To lead the development & coordination of statistical production within the South African National Statistics System

5. To invest in the learning & growth of the organisation

6. To promote international cooperation & participation in statistics

Stats SA: Strategic Objectives

19

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20 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

1. Large projects e.g. Population Census, Living Conditions Survey, Income & Expenditure Survey, ISI 2009 etc.

2. Recurring projects e.g. Monthly Consumer Price Index, Quarterly Labour Force Survey, Quarterly Financial Statistics etc.

3. Other operations e.g. profiling businesses, updating business frame / dwelling frame

4. Services e.g. procurement, logistics, financial services, security, IT services etc.

Major types of activities of Stats SA

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8. Stats SA: Project & operational planning, budgeting & reporting by

statisticians

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22 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

“Spectacular achievement is always preceded by spectacular preparation” – Robert Schuler

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•Developed frameworks, process, guidelines & templates for project / recurring project / operational management (including detailed planning & reporting)

•Developed statistical value chain for Stats SA – basis for planning, monitoring & reporting•Trained/empowered staff in detailed planning, monitoring & reporting annually to enhance capabilities

•Developed practical Project Management Course based on the Project Management Framework & statistical value chain to enhance capabilities•Trained Project Managers & potential Project Managers

How did we get statisticians to plan & report?

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8.1 Developed frameworks, guidelines & templates for detailed

planning & reporting

How did we get statisticians to plan & report?

Page 25: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

25 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

• Stats SA: Project Management Framework

• Stats SA: Recurring Project Management Framework

• Stats SA: Operations & Services Management Framework

8.1 Frameworks based on types of activities

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8.1 Stats SA: Project Management Framework

How do I

Project mana-gement phase

Main activities Expected outputs Frequency

1. Start / plan a

project?

Stakeholder & business needs & requirements determination

Determine stakeholder & business needsDevelop project idea & compile a business case (plan project at a high level)

Stakeholder needs & requirements documentApproved Business Case

At the start of the project

Project initiation & definition

Register projectDefine & plan project further (sub-projects / key phases & activities) & compile Project Charter including project governance structureSubmit Project Charter for approvalEstablish Project Management Support Office

Registered budgeted projectApproved Project CharterFunctional Project Management Support Office

At the start of the project

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How do I

Project mana-gement phase

Main activities Expected outputs

Frequency

1. Start / plan a

project?

Project planning, scheduling & budgeting (detail)

Identify inputs, process & outputs & list sub-projects / key phases & activities & high level linkages with other divisions / projects within Stats SA etc.Map project processesIdentify, list & sequence sub-projects / key phases, activities & tasks (based on project value chain) & outputsEstimate duration of each sub-project / key phase, activity & taskIdentify critical pathAssign timelinesSchedule sub-projects / key phases, activities & tasksIdentify milestonesIdentify performance indicators & targetsAssign responsibilitiesIdentify linkages with (support needed from) other divisions / projects within Stats SA (integration across functions within Stats SA is important)Identify & assess project risks & compile risk management planIdentify resources neededCompile resources & demand management planCompile project communication management strategy & planCompile project documentation management strategy & planCompile quality management strategy & planCompile change management strategy & planCompile contract management plan (if relevant)Cost the project & compile project budgetSubmit approved project planning documents & budget

Project value chainProject process mapNetwork diagram & critical pathWork breakdown structure & project scheduleProject risk management planProject resource & demand management planProject communication management strategy & planProject documentation management strategy & planProject quality management strategy & planProject change management strategy & planProject contract management planApproved baseline project plan & budget

At the start of the project & annually for the new financial year by the end of June with the final version after the budget allocation has been announced i.e. by the end of November

8.1 Stats SA: Project Management Framework

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How do I Project manage-ment

phase

Main activities Expected outputs Frequency

2. Manage & control a

project?

Project execution, monitoring & reporting

Initiate & organise work within each sub-project / key work phaseUpdate sub-project plansDo actual work according to plansManage, control & monitor activities & tasks, & performanceCompile status, progress/ performance & production reports against plans

Updated sub-project plansProject scope change requests & logsUpdated project risk management plan & logsProject decision logsProject action logsRegular project production, progress & status reportsMonthly progress / performance against planned project milestone reports - to be submitted to Programme OfficeRegular project expenditure against budget reports

Continuously / weekly/ monthly

8.1 Stats SA: Project Management Framework

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29 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

How do I Project manage-ment

phase

Main activities Expected outputs Frequency

3. Finish/ close a

project?

Project output delivery to stakeholders, evaluation & closure

Deliver outputsFinalise & archive project documentationEvaluate project & determine lessons learntCompile project evaluation & closure reports

OutputsAll final project documentation filed e.g. plans, operations manuals, reports etc.Debriefing documents containing lessons learntProject evaluation & closure reports

At the end of the project i.e. project closure

8.1 Stats SA: Project Management Framework

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30 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Project management knowledge areas

1.Integration

managementProject plan development

Project plan executionOverall change control

2.Scope

managementProject initiationScope planningScope definition

Scope verificationScope change control

3.Time

managementActivity/task definition

Activity/task sequencingActivity/task duration

estimatingSchedule development

Schedule control

4.Financial

managementResource planning

Cost estimatingCost budgeting

Cost control

5.Quality

managementQuality planning

Quality assuranceQuality control

6.Human

resources management

Organisational planningGovernance structure

Staff acquisitionTeam development

7.Communication

managementCommunication

managementInformation distributionPerformance reportingAdministrative closure

8.Risk

managementRisk identificationRisk assessment

Risk response action plan

Risk response control

9.Procurement &

contract management

Procurement planningTender planning,

tenderingSource selection

Contract administrationContract close out

10.IT management

RequirementsPlanning

UtilisationReporting

Maintenance

Project Management

8.1 Stats SA: Project Management Framework

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8.2 Developed project & operational planning & budgeting process &

components of a plan

How did we get statisticians to plan & report?

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8.2.1 Steps for compiling project, recurring project, other operations & service plans & budgets

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8.2.2 Project & operational plan components

•Develop / confirm project / operation / service value chain

•Develop project / operation / service Work Breakdown Structure

•Develop / confirm project / operation / service governance & organisational structure

•Develop project / operation / service risk mgt plan

•Develop project / operation / service resource & demand mgt plan

•Compile project / operation / service budget

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34 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

•Compile project / operation / service communication mgt plan

•Develop project / operation / service document mgt plan

•Develop project / operation / service quality mgt plan

•Develop project / operation / service change mgt plan

•Develop project / operation / service contract mgt plan

8.2.2 Project & operational plan components

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35 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

8.3 Developed statistical value chain - basis for planning,

monitoring & reporting

How did we get statisticians to plan & report?

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36 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

IMPACT

OUTCOMES

OUTPUTS

ACTIVITIES

INPUTS

What we aim to change

What we wish to achieve

What we produce or deliver

What we do

What we use to do the work

Key concepts in planning & reporting

Plan, budget, implement (operational planning & budgeting)

Manage towards achieving results (Strategic planning)

Page 37: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

37 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Input Process Out-puts

Out-come

8.3 Value chain framework

Page 38: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

38 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

What does the value chain mean?

What we use

to do the

work / how

What we do

What we

pro-duce

or deli-ver

What we

wish to ac-hieve

Input Process Out-puts

Out-come

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39 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

8.3 Statistical value chainInput Survey process Outputs

1.Need

& plan

2.De-sign

3. De-

velop/build

Outcome

4. Col-lect

5. Pro-cess

6. Ana-lyse

& com-pile pu-

blica-tion

Policy formu-lation7.

Dis-se-mi-nate

Meta-data

Statis-tical

release

Final dataset

Electro-nic pro-ducts

Stake-holder requi-rement

Inter-natio-

nal gui-delines

Stats SA’s

strate-gic

themes & ob-

jectivesGovt

priori-ties & legal

frame-work

Human resour-

cesIT

resour-ces

Finan-cial re-sour-ces

Leader-ship

Page 40: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

40 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Input Survey process Outputs

1.Need

& plan

2.De-sign

3. De-

velop/build

Outcome

4. Col-lect

5. Pro-cess

6. Ana-lyse

& com-pile pu-

blica-tion

Policy formu-lation7.

Dis-se-mi-nate

Meta-data

Statis-tical

release

Final dataset

Electro-nic pro-ducts

Stake-holder requi-rement

Inter-natio-

nal gui-delines

Stats SA’s

strate-gic

themes & ob-

jectivesGovt

priori-ties & legal

frame-work

Human resour-

cesIT

resour-ces

Finan-cial re-sour-ces

Leader-ship

1.1 Con-sult

stake-holders (infor-mationrequi-

re-ments

& needs)

8.3 Statistical value chain

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41 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

8.3 Stats SA: Statistical value chain & linkages/integration framework

Need &

planBuild Collect Process

Analyse& com-

pile publi-cation

Dis-semi-nate

National Accounts

ProgOffice

FinanceHRM

Stake-holders

De-pendon?

Who should be involved?Provi-de to

?

Input Statistical process Out-put

Out-come

Stats SAGovern-

mentStats SA

users

Bene-ficia-ries?

Linkages / integration

ICT

Other projects

Resour-ces

Economic growth

Job creationStake-

holders

Strategy

Environ.

Corporate governan-

ce

Design

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42 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Input Statistical production process Outputs

1.Need &

plan2.

Design3.

Build

Stakeholder requirement

Outcome

4. Collect

5. Process

International guidelines

6. Analyse & com-pile pu-blication

2.1 Survey methodology

3.2 Final instruments

2.4 Data processing

methodology2.5 Documen-

tation e.g. operations &

training manuals, specs etc.

4.3 Completed instruments

Price policy formulation

Economic growth &

policy formulation

Poverty alleviation &

policy formulation

Design & test

instruments

Compile Business Case & confirm need

Recruit field staff

Produce statistical

results

Do publicity & manage

respondents

Manage processing (production & progress

reports, pro-blems etc.)

Validate & benchmark statistical

resultsCapture data in electronic

format

Determine stakehol-

ders information

require-ments & needs

7. Dis-

semi-nate

Prepare electronic products

Edit & validate

draft content/

statistical release & finalise

Develop detail

project plan & budget

Obtain financial support

Compile Project Charter

Compile & discuss

tabulation plan

Compile documenta-

tion e.g. operations &

training manuals,

specs, edit rules etc.

Design dataprocessing

methodologyDesign &

develop data processing

systems (e.g. specs)

Design & dev analysis / publication

systems

Interpret statistical

results

Prepare content / statistical release / report for dissemi-nation

(Tables, graphs, write-up, editing of

publication)

Do data confrontation

Train field staff

Manage fieldworkers (problems,

loss control, accidents,

incidents) & compile progress reports

Close off collection (in

field, PO)

Collect data & manage

respondents

Do quality assurance (in field & from HO)

Stats SA’s strategic

themes and objectives

Government priorities &

legal framework

Human resources

IT resources

Financial resources

Prepare metadata

4.1 & 5.2 Progress & production

reports

7.1 Metadata

7.3 Statistical release

Determine survey

methodo-logy

5.1 Final dataset

Conduct quality control

Load & dissemi-nate via

Web

Compile press state-ments

Do QA on processed

dataPerform macro editing

Publish & manage

first releaseManage

user enquiries

Conduct peer

reviews / stakeholder meetings

Produce clean data-

set

Pay fieldworkers

Design survey

methodology (collection meth, pop

frame, stds, definitions,

classifi-cations etc.)

Design sample

1.4 Project/ops

plan & budget

1.3 Project Charter

1.2 Business Case

1.1 Stakeholder

needs

2.2 Tabulation plan

3.3 Data processing &

analysis systems

Conduct pilot survey

& adjust instruments, methodolo-

gy &, documents

Test & enhance

technology solution

(data processing systems)Design ops

require-ments

(Logistics & HR)

Select sample

Print instruments & training manuals

Do forward logistics (e.g.

venues; accom;

equipment; dispatch

instruments, manuals, bibs, id cards;

transport, petrol cards)

Do QA to verify

completed instruments

Run imputations / estimations

Sign-off statistical release

Print statistical release

Recruit pro-cessing staff

Train pro-cessing staff

Compile MTEF

submission (plan & budget)

7.2 Electronic products

Leadership

Project Manage-

mentSupport Office

Send instruments

to HO

Examine source data

Etc.

3.1 Sample

2.3 Ops requirements

Compile clearance document

6.1. Clearance document

8.3 Stats SA: Statistical value chain & relevant activities: Household Surveys

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43 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Input Statistical production process Outputs

1.Need &

plan2.

Design3.

Build

Stakeholder requirement

Outcome

4. Collect

5. Process

International guidelines

6. Analyse & com-pile pu-

blication

2.1 Survey methodology

3.2 Final instruments

2.4 Data processing

methodology

4.2 Written project

communica-tion

2.5 Documen-tation e.g.

operations & training

manuals, specs etc.

4.3 Completed instruments

Price policy formulation

Economic growth &

policy formulation

Poverty alleviation &

policy formulation

Design & test

instruments

Compile Business Case & confirm need

Recruit staff

Produce statistical

results

Do publicity & manage

respondents

Manage processing (production & progress

reports, pro-blems etc.)

Validate & benchmark statistical

resultsCapture data in electronic

format

Determine stakehol-

ders information

require-ments & needs

7. Dis-

semi-nate

Prepare electronic products

Edit & validate

draft content/

statistical release & finalise

Develop detail

project plan & budget

Obtain financial support

Compile Project Charter

Compile & discuss

tabulation plan

Compile documenta-

tion e.g. operations &

training manuals,

specs, edit rules etc.

Design dataprocessing

methodologyDesign &

develop data processing

systems (e.g. specs)

Design & dev analysis / publication

systems

Interpret statistical

results

Prepare content / statistical release / report for dissemi-nation

(Tables, graphs, write-up, editing of

publication)

Do data confrontation

Train staff

Manage staff & compile

reports e.g. progress & production reports etc.

Close off collection

Collect data & manage

respondents

Do quality assurance

on data collected

Stats SA’s strategic

themes and objectives

Government priorities &

legal framework

Human resources

IT resources

Financial resources

Prepare metadata

4.1 & 5.2 Progress & production

reports

7.1 Metadata

7.3 Statistical release

Determine survey

methodo-logy

5. Final dataset

Conduct quality control

Load & dissemi-nate via

Web

Compile press state-ments

Do QA on processed

dataPerform macro editing

Publish & manage

first releaseManage

user enquiries

Conduct peer

reviews / stakeholder

meetings

Produce clean data-

set

Design survey

methodology (collection meth, pop

frame, stds, definitions,

classifi-cations etc.)

Design sample

1.4 Project/ops

plan & budget

1.3 Project Charter

1.2 Business Case

1.1 Stakeholder

needs

2.2 Tabulation plan

3.3 Data processing &

analysis systems

Conduct pilot survey

& adjust instruments, methodolo-

gy &, documents

Test & enhance

technology solution

(data processing systems)Design ops

require-ments

(Logistics & HR)

Select sample

Print instruments & training manuals

Identify post-out

population and data services

Do QA to verify

completed instruments

Run imputations / estimations

Sign-off statistical release

Print statistical release

Recruit staff

Train staff

Compile MTEF

submission (plan & budget)

7.2 Electronic products

Leadership

Project Manage-

ment Support Office

Examine source data

Etc.

3.1 Sample

2.3 Ops requirements

Compile clearance document

Post / distribute

instruments

8.3 Stats SA: Statistical value chain & relevant activities: Business Surveys

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44 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

8.4 Core competencies: Plan for capabilities

How did we get statisticians to plan & report?

Page 45: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

45 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Capability Plan & manageIntellectual Plan for skills required for producing

statistical informationTechnological Plan for people, information technology &

information systems central to production of statistical information

Logistical Plan for processes & systems to collect statistical information on a large scale from various sources in the field

Administrative Plan & manage statistical environment including communication & public relations & governance

8.4 Core competencies: Plan for capabilities

Page 46: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

46 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

8.5 Facilitated project & operational planning process mapping:

Example

How did we get statisticians to plan & report?

Page 47: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

47 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

1Receiving

boxes from the field

4Capture received

boxes on DPMS and label them for storage

10Check that for each QID,

instruments are there, and verify the primary key No. and the result code

11Damaged

instruments

12Transcribe

13Complete the control sheet

19Save the final table

9Check in

boxes to this process

Storeroom Management

15ACapture the 1st control sheet on

DPMS and save.

21Receive boxes from stores and check them in

for primary preparation

22Perform primary preparation by

verifying the primary key number, removing foreign objects and

separating instruments by their cut-off spines.

23Check out boxes from primary preparation

and send them back to Stores.

24Check boxes in for

guillotining and guillotine instruments

25Check out boxes from

guillotine and send them back to Stores.

26Check boxes in for secondary

preparation and double check that guillotined instruments are not mixed up, verify primary key

number and ensure that there are no foreign objects.

27Group batches and check out boxes from secondary

preparation and return them to stores.

29Scan prepared

instruments

28Receive boxes from stores and

check them in for scanning

30Stored images

41Text file repository

for summary questionnaires

34Check out boxes and return to stores

38Request a PSU box for verification, check it in, verify the information,

check out the PSU box and send it back to stores.

39Run the transfer and transpose

module

40Edit Database for

Main Questionnaire and Diaries

16DPMS

Database

32 Recognition and interpret

36Verified & validated images?

48Are there Analysis

errors?

45Request PSU boxes from stores, check them in, edit errors

and check boxes out

49Print the

Analysis error report and edit

errors

40Edit

Database

Yes No

Yes

Editing

Analysis40

Edit Database

50Import from SQL to SAS

53Weighting

51SAS

Database55

Output Edits

63Change Management

64Risks and Issues Management

Project Support Office and Project Resource Management

Stats SA: IES 2005/2006: Data Processing Process Flow

No

Quality Assurance

Quality assurance will be performed by Supervisors, Quality Assurers, Statisticians or main users during scanning and recognition, editing, analysis and publication processes. For box content verification, second capturing of the control sheet will be for QA purposes. For transcription, preparation and guillotining, QA is build into the process, e.g. process 26 is checking and verifying process 22. Escalation procedures will be followed when required.

31Eyes & Hands

Database

60Planning

61Monitoring and Reporting

62Resource Management: HR,

FMLS, Finance and Procurement

59Publication and Dissemination

Publication

5Requisition of PSU boxes

6Creates pick-lists on the

DPMS, issue list and check boxes out of stores

7Boxes delivered

at their respective

destinations

8Return boxes to

storesUpdate DPMS

5AProcess

prioritisation

No

52Data

Cleaning

54SAS Database

with weightings

56Clean edited Data for CPI

57Tabulation

58Statistical Reports

15BCapture the 2nd control sheet on DPMS for QA

purpose & save.

Yes

40Edit

Database

42Run an edit

module

43Errors?

Yes

44Print an error

report and submit for input

editing47

Errors?

No

17Compare the two data sets

20Use the error report to edit errors & save

18Match?

No

Yes

2Capture received boxes from the

field on a spreadsheet

3Hand-over

received boxes to data processing

Box Content Verification Preparation and Guillotining

Scanning, Recognition and Verification

14Check out boxes

from BCV and send them back

to Stores.

33Recognised?

37Transcribe and set aside the PSU box

for re-scanning

Yes

31

No

35Verification

and validation

46Run the edit

module once more on edited boxes to

check for errors again

No

Yes

8.5 Process mapping: Example

Page 48: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

48 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

8.6 Developed & trained on Project Management Course

How did we get statisticians to plan & report?

Page 49: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

49 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

8.6 Project Management Course

To provide a step-by-step practical approach to successful quality project management enabling participants to lead & manage a project using various resources to deliver desired results.

Aim of Project Management Course

Page 50: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

50 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

8.6 Project Management Course

Project Management Course Content• General project management• The project life cycle• Determine project stakeholder

needs• Compile business case for a

project• Initiate & define project & compile

project charter for project• Plan & schedule a project

• Project scope mgt• Project time mgt• Compile budget for a project

• Project demand & procurement mgt

• Project quality mgt• Project risk mgt• Project communication mgt &

project control system

• Project execution• Project administration, document

mgt & change control including responsibilities of a Project Management Support Office

• Project meetings & workshops• Working as project team member

• Financial mgt • Close a project

• Project integration mgt

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51 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

8.7 Provided expertise & support to project teams

How did we get statisticians to plan & report?

Page 52: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

52 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

9. Stats SA: Integrated outputs from operational planning

Page 53: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

53 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

• Stats SA: Integrated planned publication calendar

• Stats SA: Integrated planned schedule for field surveys

• Stats SA: Planned key events schedule

9. Integrated outputs from operational planning

Page 54: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

54 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Stats SA: Extraction from integrated planned publication calendar for 2010/2011

Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Jan Feb Mar

MonthlyReference period

Nov-09 Dec-09 Jan-10 Feb-10 Mar-10 Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10 Oct-10 Nov-10 Dec-10 Jan-11

Planned date (5 weeks after reference month - first Thursday of month)

7 4 4 1 6 3 1 5 2 7 4 2 6 3 3

Reference period

Nov-09 Dec-09 Jan-10 Feb-10 Mar-10 Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10 Oct-10 Nov-10 Dec-10 Jan-11

Planned date (6 weeks after reference month - second Thursday of month)

14 11 11 8 13 10 8 12 9 14 11 9 13 10 10

Reference period

Nov-09 Dec-09 Jan-10 Feb-10 Mar-10 Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10 Oct-10 Nov-10 Dec-10 Jan-11

Planned date (on a Wednesday 6 weeks after reference month/within 42 days after reference month)

12 11 11 8 12 10 8 11 8 12 11 9 11 10 10

Electricity generated and available for distribution (Monthly)

Mining: Production and sales based on administrative sources (Monthly)

Manufacturing: Production and sales (Monthly)

Statistical Release / Report

Indicator / target

2010 2011

9. Integrated outputs from operational planning

Page 55: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

55 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Stats SA: Extraction from integrated planned schedule for large field surveys for 2010/2011

9. Integrated outputs from operational planning

Legend: Achieved Discontinued

Apr

May Jun

Jul

Aug Se

p

Oct

Nov Dec Jan

Feb

Mar

1. Develop survey methodology/design and select sample

QLFS Number of Dwelling Units (DUs) selected

30 520 (Q3 2010) Differ from quarter to quarter

Quarterly 2 27 23 25 Apr: May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

Methodology and Standards will be providing the sample to QLFS quarterly.

Methodology and Evaluation: Caiphus Mashaba

Domestic Tourism Survey (DTS) 2010

Number of Dwelling Units (DUs) selected

31 027 25 January 2010

Apr:May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

Methodology and Standards will be providing the sample to Social Statistics annually. This is normally during January each year, unless Social Statitics requests the sample at another date.

Methodology and Evaluation: Caiphus Mashaba

General Household Survey (GHS) 2010

Number of Dwelling Units (DUs) selected

32 033 31 March 2010

31 Apr:May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

Methodology and Standards will be providing the sample to Social Statistics annually, The next sample for GHS 2011 will be provided to Social Statistics by the end of March 2011.

Methodology and Evaluation: Caiphus Mashaba

Volunteer Work Survey (module of QLFS)

Number of Dwelling Units (DUs) selected

31 995 22 March 2010

Apr:May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

QLFS methodology and standards, together with the sample will be utilised.

HLMS: Yandiswa Mpetsheni

Child Labour Survey (module of QLFS)

Number of Dwelling Units (DUs) selected

31 995 2 June 2010

1 2 Apr:May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

QLFS methodology and standards, together with the sample will be utilised.

HLMS: Yandiswa Mpetsheni

Number of Primary Sampling Units (PSUs) selected

3 254 10 May 2010

10 31 Apr: May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

3 080 PSUs are to be selected and provided to Household Budget Surveys (HBS) during the first week in May 2010. An additional 174 Urban PSUs will also be sampled and provided to HBS during May 2010. Listing should be finalised by the end of July 2010.

Methodology and Evaluation: Caiphus Mashaba

Number of Dwelling Units (DUs) selected

32 560 (approxi-mately)

25 May 2010

25 31 Apr: May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

3 080 PSUs are to be selected and provided to Household Budget Surveys (HBS) during the first week in May 2010. An additional 174 Urban PSUs will also be sampled and provided to HBS during May 2010. Listing should be finalised by the end of July 2010.

Methodology and Evaluation: Caiphus Mashaba

Responsible person

Delayed Approved change of baseline planPlanned period (start to end)

General commentsPlanned milestones Key performance

indicator

Summary of performance, reasons for deviations and corrective action taken/to

be taken:Quarter one per month

IES 2010

Not achieved

Summary of performance, reasons for deviations and corrective action taken/to

be taken:Quarter three per month

Slipped

Summary of performance, reasons for deviations and corrective action taken/to

be taken:Quarter four per month

Target2011

Target date

Summary of performance, reasons for deviations and corrective action taken/to

be taken:Quarter two per month

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56 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10. Stats SA: Management information reports

Page 57: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

57 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10.1 Integrated monthly & quarterly milestone report template

Page 58: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

58 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10.1 Example of monthly/quarterly milestone report2009/2010

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Jan

Feb

Mar

Financial management:Budget code:…….

Expenditure balanced against budget for 2009/2010 = R 288 692 000

Expenditure balanced against budget for 2009/2010

Cumulative expenditure against budget// % of 2009/2010 budget spent monthly, cumulatively

R288,692 m per month / 8,3% per month, cumulatively (Planned)

31 Mar 2010

R 2

4,1

m

R 1

1,4

mR

48,

1 m

R

22,

8 m

R 7

2,2

m

R 3

4,2

mR

96,

2 m

R

45,

6 m

R 1

20,3

m

R 5

7,0

mR

144

,3 m

R

68,

4 m

R 1

68,4

m

R

79,

8 m

R 1

92,5

m

R 9

1,2

mR

216

,5 m

R

102

,6 m

R 2

40,6

m

R

114

,0 m

R 2

64,6

m

R 1

25,3

mR

288,

7m

R 1

36,6

m

ActualR

10,

6 m

=

3,7%

R 1

4,9

m =

5,

2%R

18,

5 m

=

6,4%

R 2

3,7

m =

8,

2%R

30,

1 m

=

24,3

%R

36,

1 m

=

29,1

%R

46,5

m =

34

,0%

R 6

1,4

m =

45

%

Totals

Work Programme page : 55

Tabulation Plan Tabulation Plan approved

Relevancy of tabulation plan and timeliness of tabulation plan

Tabulation plan approved by key stake-holders

30-Jun-09

Apr: As at 30 April 2009 the draft tabulation plan was compiled but not yet approved.

Jul: As at 31 July 2009 the activity was not finalised. The new estimated completion date was set for 30 September 2009.

Oct: As at 31 October 2009 the draft tabulation plan was finalised with inputs from the analysis team.

Jan:

May: New planned end date was set for 12 June 2009. It was indicated that the draft tabulation plan was ready and will be tabled at the Technical Committee meeting.

Aug: As at 31 August 2009 it was reported that a review with the analysis team to finalise the draft tabulation plan was still going to be held

Nov: Feb

Jun: As at 12 June 2009 the tabulation plan was submitted at the technical meeting for approval

Sep: As at 30 September 2009 the activity was not completed as they were still waiting for feedback from the analysis team.

Dec: Mar:

Work Programme page : 55

Resource Mangement Plan

Resource Management Plan approved

Relevancy and timeliness of Resource Management Plan

Resource Management Plan approved by key stakeholders

30-Jun-09

Apr: As at 30 April 2009 the Resource Plan was sent to Corporate Services for review and to be updated.

Jul: A meeting for presentation to the HRM team was scheduled for the first week of July 2009 and it took place. As at 31 July 2009,

Oct: As at 31 October 2009 the recruitment strategywas still not finalised.

Jan:

May: As at 31 May 2009 the activity slipped due to waiting for the way forward from Human Resource Management (HRM). HRM will circulate the first draft of the Recruitment Strategy on 24 June 2009.

Aug: As at 31 August the recruitment strategy was pending

Nov: As at 30 November 2009 the recruitment strategy and payment strategy was not yet received from HRM.

Feb

Jun: As at 30 June 2009 the strategy was not circulated.

Sep: As at 30 September 2009 the recruitment strategy was not yet finalised.

Dec: Mar:

PPC011 Census 2011_Content and Development: Questionnaire for Census 2011 Pilot Survey

Draft tabulation plan

Draft tabulation plan developed

Relevancy and timeliness of tabulation plan

Not Achieved Achieved

30

Summary of progress on the milestone monthly and at the end of quarter 2 . State any reasons, impact and corrective actions taken if milestone is neither Achieved or On Track.

Progress against planned start and end dates for 2009/2010

Stats SA: Monthly & quarterly progress and performance against Annual Work Programme and project/recurring project/ operation and service plans for

Calvin Molongoana

Responsible person

Not Achieved

31

10

Not Achieved

Summary of progress on the milestone monthly and at the end of quarter 4 . State any reasons, impact and corrective actions taken if milestone is neither Achieved or On Track.

Summary of progress on the milestone monthly and at the end of quarter 3 . State any reasons, impact and corrective actions taken if milestone is neither Achieved or On Track.

Division:

Summary of progress on the milestone monthly and at the end of quarter 1 . State any reasons, impact and corrective actions taken if milestone is neither Achieved or On Track.

Population Census - Census 2011

Calvin Molongoana

Project manager / Manager

TargetOutputs for 2009/2010

Executive Manager:

Project/ Recurring project/ Other operation and service number and title

Not Achieved

Milestones for 2009/2010

8 May 2009Recruitment Strategy

Recruitment Strategy approved

12

Perfor-mance indicator 2009/2010

Target date

Not Achieved

Recruitment Strategy aligned to Census 2011 Strategy and structure

8 24Relevancy and timeliness of Recruitment Strategy

Tabulation plan approved by key stake-holders

30 Apr 2009 30

PPC011 Census 2011_Integrated Field Operations (Listing, Publicity & Data collection)

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59 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Work Programme page : 55

Census 2011 Pilot questionnaire

Census 2011 Pilot questionnaire approved

Relevancy of questions and timeliness of questionnaire

Census 2011 Pilot questionnaire approved by key stakeholders

30-Jun-09

Apr: As at 30 April 2009 development of questionnaire for Census 2011 Pilot Survey was on track.

Jul: As at 31 July 2009 the questionnaire was signed-off by all Managers

Oct: Jan:

May: As at 29 May 2009 the EM, DDG and SG still had to approve the final questionnaire. New target date was set for 12 June 2009

Aug: Nov: Feb

Jun: As at 12 June 2009 the Project Management Support Office (PMSO) circulated the questionnaire to all managers for sign-off.

Sep: Dec: Mar:

Apr: As at 30 April 2009 design of questionnaire for Census 2011 Pilot Survey was on track.

Jul: Printing is delayed because the questionnaire was sent back to the Designer for corrections. As at 31 July 2009 two layouts of the questionnaire

Oct: As at 31 October 2009 behind the glass testing had not taken place.

Jan:

May: As at 31 May 2009 the questionnaire was sent to a Designer.

Aug: As at 31 August 2009 Census 2011 Pilot Survey questionnaire was printed.

Nov: As at 30 November 2009 the behind the glass resting has not yet been done.

Feb

Jun: As at 30 June 2009 the Designer submitted the design.

Sep: As at 30 September 2009 behing the glass test had not taken place.

Dec: Mar:

Apr: As at 30 April 2009 this activity was delayed due to waiting for the finalisation of the questionnaire.

Jul: Oct: As at 30 September 2003 the translation into Sindebele was still not completed. This activity will only be done in future for the main Census 2011 project.

Jan:

May: As at 31 May 2009 translation booklet slipped due to the questionnaire that was not yet approved. New planned date was set for 30 July 2009.

Aug: As at 31 August 2009 translations into all languages except for Sindebele were completed.

Nov: As at 30 November 2009 a decision was taken that the Ndebele translations will only be done in future for the main Census 2011 project.

Feb

Jun: As at 30 June 2009 the activity was not finalised.

Sep: As at 30 September 2009 translation into Sindebele was still not completed.

Dec: Mar:

Apr: As at 30 April 2009 the approval of plans were delayed pending the translation of the questionnaire.

Jul: As at 31 July 2009 the activity was not finalised.

Oct: As at 31 October 2009 consultation with the analysis team was done. The product plan was completed and submitted to

Jan:

May: As at 31 May 2009 this activity was still not done as the questionnaire first needs to be finalised and translated.

Aug: During August 2009 the activity was scheduled for completion by 15 September 2009.

Nov: As at 30 November 2009 the plans were still awaiting approval by the Technical Committee. The activity will take place by the first

Feb

Jun: As at 30June 2009 the activity was not completed since the team members were concentrating on translations.

Sep: A meeting with the analysis team first needs to be conducted. As at 30 September 2009 consultation with the analysis team was still in progress.

Dec: Mar:

Work Programme page : 55

Fieldwork manuals for pilot Census

Fieldwork manuals for pilot Census approved

Relevancy and timeliness of fieldwork manuals for Census 2011

Fieldwork manuals approved by key stakeholders

30-Aug-09

Apr: Jul: Oct: Jan:

May: Integrated methodologies were approved on 22 May 2009.

Aug: Nov: Feb

Jun: Sep: Dec: Mar:

Apr: Jul: As at 31 July 2009 manuals were finalised and signed-off as planned.

Oct: Jan:

May: As at 31 May 2009 this activity was delayed due to the delay in the approval of methodologies. New planned end date was set for 5 June

Aug: Nov: Feb

Jun: As of 30 June 2009 the training manuals were completed. It was indicated that the training manuals will be signed-off by 1 July 2009.

Sep: Dec: Mar:

Training manuals based on questionnaire and relevant skills required

Methodologies cover integration of listing, publicity, and data collection operations

Questionnaire designed and printed

10 Jun 2009

Product plans for Census 2011 approved by key stake-holders

30-Jun-09 430Census 2011 product plans

Census and CS 2007 product plans reviewed

Relevancy and timeliness of product plans for Census 2011

Translation Booklet

Translation Booklet approved

Accuracy of translations and timeliness of translation booklet

26-Jun-09Translations approved by experts

29

PPC011 Census 2011_Content and Development: Questionnaire for Census 2011 Pilot Survey

10 31Questionnaire designed and printed

Questionnaire designed and printed

Timeliness of printed questionnaire

Questionnaire for Census 2011 Pilot Survey

Questionnaire approved

Relevancy of questions and timeliness of questionnaire

29 May 2009Questions approved by key stakehol-ders

29

1

30

3112

Not Achieved Achieved

Training manuals Training manuals finalised

Relevancy and timeliness of training manuals

22 May 2009 22 5

PPC011 Census 2011_Integrated Field Operations (Listing, Publicity & Data collection)

Integrated field operations methodologies

Integrated field operations methodologies approved

Relevancy and timeliness of integrated field operations methodologies

22 May 2009 22

On Track Achieved

10.1 Example of monthly/quarterly milestone report

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60 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10.2 Monthly integrated performance reporting linked to

Work Programme of Stats SA

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61 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Stats SA: Extraction from monthly status against integrated planned publication calendar for 2010/2011 report

10.2 Example of monthly integrated performance reports

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62 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Stats SA: Extraction from monthly status against integrated planned schedule for field surveys for 2010/2011 report

10.2 Example of monthly integrated performance reports

Legend: Achieved Discontinued

Apr

May Jun

Jul

Aug Se

p

Oct

Nov Dec Jan

Feb

Mar

1. Develop survey methodology/design and select sample

QLFS Number of Dwelling Units (DUs) selected

30 520 (Q3 2010) Differ from quarter to quarter

Quarterly 2 27 23 25 Apr: There was a slight shift of the timelines for Q3 2010 due to the delay in listing. The sample was delivered before the planned date.May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

Methodology and Standards will be providing the sample to QLFS quarterly.

Methodology and Evaluation: Caiphus Mashaba

Domestic Tourism Survey (DTS) 2010

Number of Dwelling Units (DUs) selected

31 027 25 January 2010

Apr:May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

Methodology and Standards will be providing the sample to Social Statistics annually. This is normally during January each year, unless Social Statitics requests the sample at another date.

Methodology and Evaluation: Caiphus Mashaba

General Household Survey (GHS) 2010

Number of Dwelling Units (DUs) selected

32 033 31 March 2010

31 Apr:May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

Methodology and Standards will be providing the sample to Social Statistics annually, The next sample for GHS 2011 will be provided to Social Statistics by the end of March 2011.

Methodology and Evaluation: Caiphus Mashaba

Volunteer Work Survey (module of QLFS)

Number of Dwelling Units (DUs) selected

31 995 22 March 2010

Apr:May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

QLFS methodology and standards, together with the sample will be utilised.

HLMS: Yandiswa Mpetsheni

Child Labour Survey (module of QLFS)

Number of Dwelling Units (DUs) selected

31 995 2 June 2010

1 2 Apr: On track.May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

QLFS methodology and standards, together with the sample will be utilised.

HLMS: Yandiswa Mpetsheni

Number of Primary Sampling Units (PSUs) selected

3 254 10 May 2010

10 31 Apr: During April 2010, it was anticipated that the listing for urban areas will only be finalised by end of July 2010 in order to select the additional 174 Urban PSUs. May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

3 080 PSUs are to be selected and provided to Household Budget Surveys (HBS) during the first week in May 2010. An additional 174 Urban PSUs will also be sampled and provided to HBS during May 2010. Listing should be finalised by the end of July 2010.

Methodology and Evaluation: Caiphus Mashaba

Number of Dwelling Units (DUs) selected

32 560 (approxi-mately)

25 May 2010

25 31 Apr: During April 2010, it was anticipated that the listing for urban areas will only be finalised by end of July 2010 in order to select the additional 174 Urban PSUs. May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

3 080 PSUs are to be selected and provided to Household Budget Surveys (HBS) during the first week in May 2010. An additional 174 Urban PSUs will also be sampled and provided to HBS during May 2010. Listing should be finalised by the end of July 2010.

Methodology and Evaluation: Caiphus Mashaba

Time Use Survey Number of Dwelling Units (DUs) selected

32 000 (approx.) 31 August 2010

31 Apr:May:Jun:

Jul: Aug: Sep:

Oct: Nov: Dec:

Jan:Feb:Mar:

The Time Use Survey has not yet been funded, As soon as a budget is allocated, timelines will be planned to ensure for readiness of the sample.

Methodology and Evaluation: Marlize Pistorius

Summary of performance, reasons for deviations and corrective action taken/to

be taken:Quarter two per month

Not achieved

Summary of performance, reasons for deviations and corrective action taken/to

be taken:Quarter three per month

Slipped

Summary of performance, reasons for deviations and corrective action taken/to

be taken:Quarter four per month

Target2011

Target date

General commentsPlanned milestones Key performance

indicator

Summary of performance, reasons for deviations and corrective action taken/to

be taken:Quarter one per month

IES 2010

Responsible person

Delayed Approved change of baseline planPlanned period (start to end)

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63 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10.3 Dashboards(linking operations to strategy)

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64 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10.3 Stats SA: Dashboards

•Serves as early warning system

•Highlights performance against plans & budgets, areas of concern & risks

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65 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10.3.1 Stats SA: Dashboard on priorities

(linking operations to strategy)

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66 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10.3.1 Stats SA: Dashboard on priorities

1. To expand

the statistical information base by

increasing its depth, breadth and geographic spread

6.1

Statistical

development

in Africa

5.3

Organisational

capital

5.1Human capital 3.4Functionalityof Provincial &District Offices

3.2Corporate

data processingfacility

3.1

Integrated

approach

to fieldwork

2.7

Inte

grat

ed c

omm

unic

atio

n,

mar

ketin

g &

stak

ehol

der

rela

tions

2.4

Bus

ines

sR

egis

ter

2.3Dw

elling

Frame

2.2

Declaring stats

as official

1.8Safety and Security

1.7

Education

1.6

Health

1.5

Popu

latio

ndy

nam

ics

1.2

Pric

es

6. To promote

International

cooperation and

participation in stats

5. To invest in

learning and growth

of organisation

3. To improve productivityand service delivery

2. To enhance public confidenceand trust in statistics

1.2.1 Review PPI

1.5.1 Conduct Population Census

2011

1.6.1 NSS:

Coordinate production

of health stats

1.7.1 NSS:

Coordinate production

of education stats

1.8

.1 N

SS:

Coor

dina

te p

rodu

ctio

nof

crim

e st

ats

6.1.1 Participate in statistical

development in Africa

5.3.1 Preparatory phase:

Relocation of Stats SA5.

1.1

Esta

blis

h St

atis

tical

Trai

ning

Inst

itute

1.8.

2

Vict

ims

of C

rime

2011

2.2 NSS:

Conduct indep

enden

t quali

ty

asse

ssmen

ts usin

g SASQAF

2.3.1 Develop and maintain

Dwelling Frame

2.4.1 Develop and maintainBusiness Register

2.7.1 Branding of Stats SA2.7.2

Integrated communication

and marketing strategy

3.1.1 Roll out integrated

fieldwork approach

3.2.1 Implem

ent a corporate

data processing facility3.4.

1 De

cent

ralis

e Co

rpor

ate

Serv

ices

func

tions

Stats SA:Key priorities for 2010/2011

Not achieved / expenditure exceeds allocation

Slipped / expenditure exceeds target by more

than 2%

Delayed / concerns / expenditure less than

target by more than 2%On track / expenditure on target within 2% variation Achieved late

No information received / planned milestones not due

yetLegend:

Page 67: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

67 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10.3.2 Programme / cluster dashboards

(linking operations to strategy)

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68 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

10.3.2 Stats SA: Programme / Cluster dashboards

Programme 1: Corporate Services

Programme 1 Corporate Services

5. To invest in the learning

and growth of the organisation

3. To improve productivity and service delivery

3.3 Governance and accountability

3.3.3 Human Resource

Managem

ent

Org. Dev. & Change Man.Employment Equity

Career Development

Employee Assisstance Pgm

3.3.4 Facilities Management;

Security & Logistics

3.3.

5 Fi

nanc

ial A

dmin

. &

Man

agem

ent

3.3.6 Corporate

Governance

5.3.1

Corp.

Reloc

5.1.1 Human Capacity Development

5.3 O

rgan

isatio

nal

Capita

l

5.1 Human Capital

Benefit Administration

Indiv. Performance Man.

Labour Relations

HR Proj

ects

Rem

uner

atio

nRe

crui

tmen

tH

RM

: Pla

n. &

Rep

ortin

g

New Building Project

Sec

urity

Man

agem

ent

Fleet Managem

entTravel, Accom

& Conf

Facilities Managem

ent

Statistical Training Inst.

Mat

hs F

or S

tats

Cen

sus@

Scho

olTraining & D

ev. SA

DC

Tra

inin

g

E-le

arni

ngIT

Tra

inin

g

HCD Plan

ning &

Adm

in.

Legal Services

Risk Management

Policy Co-ordination

Prov. Fin. & Advisory Sup.Supply Chain Management

Financial Management

Financial Admin

Asset Management

R24,7m

R8,7m

R4,8m

R14,4m

R3,8mR1

3,4m

R5,5m

R3,4m

R8,9m

R7,3m

R4,6

m

R1,

4m

R12,7m

R12,5m

R16

,4m

R3,7mR4,0m

R2,6m

R11,6m

R4,6

m

R7,4m R

4,0m

R2,5m

Not achieved / expenditure exceeds

allocation

Slipped / expenditure exceeds target by more

than 2%

Delayed / concerns / expenditure less than

target by more than 2%

On track / expenditure on target within 2%

variationAchieved late

No information received / planned

milestones not due yetLegend:

Page 69: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

69 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Programme 2: Economic Statistics

Programme 2 Economic Statistics

1.2 Prices

1. To expand the statistical information base by increasing the depth, breadth

and geographic spread

1.3

Emplment

1.1 Economic growth

and transformation

Cons. Gen

eral Gov.

Higher Educ. Inst.

Quarte

rly Fin.

Stat

s

Annu

al F

in. S

tats

Agriculture Stats

Accom. Industry

Bus

. Ser

v. In

dust

.P

ost &

Tel

. Ind

ust.

Motor Trade Industry

Manufacturing IndustryFood and Bev. Industry

Mining & Quarrying Indust. Wholesale Trade Industry

Retail Trade Industry

Mining: P

rod. & S

alesLi

quid

s &

Inso

lven

cies

Civ

il C

ases

Electricity

Manufac .: P

rod. & S

ales

Tourist Accomodation

Bui

ldin

g S

tats

Food & Beverages

Motor Trade Sales

Retail T

rade S

ales

Who

lesa

le T

rade

Sal

es

Transport Statistics

CP

IPPI

Application of Nat. Acc.

GDPNat. Accounts Res.

Socio-Econ. Integr.

R43,1m

R10,0m

R12,

3m

R6,

4m

R3,9m

R7,2

m

R11m

R16,8m

R8,3m

R3,5m

R2,6m

R2,2m

R3,7m R11,8m

R16,9m PPI Re-engineering

Tran

spor

t Ind

ustry

Pers

onal

Ser

vice

s

Electr., Gas & Water Indust.

QES

1.1.2

Large S

ample

Surveys

1.1.

3 Fi

nanc

ial S

tatis

tics

1.1.

4 Ec

on.

Anal

. &

Res.

1.1.5

Nat.

Accounts

1.3.1

QES &

1.2.1 PPI

1.2.3

CPI1.2.2

PPIR

1.1.1 Short-term Indicators

Not achieved / expenditure exceeds

allocation

Slipped / expenditure exceeds target by more

than 2%

Delayed / concerns / expenditure less than

target by more than 2%

On track / expenditure on target within 2%

variationAchieved Late

No information received/ Planned

milestone not yet dueLegend:

Fin. Census of Mun.

National Gov.

Provincial Gov.

Extrabudget. Acc & Funds

Non-fin. Census of Mun. Quarterly Fin. _ Mun.Cap. Exp.Public Sect.

10.3.2 Stats SA: Programme / Cluster dashboards

Page 70: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

70 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Programme 3: Population and

Social Statistics

Programme 3 Population and Social Statistics

1.5.2 Demographic and Social AnalysisR

1,7m

R5,9

m

Dem

ogra

phic

Anal

ysis

and

Them

atic

Rep

ort

Soc

ial A

naly

sis

and

Rep

ortin

g

1. To expand the statistical information base by increasing its depth, breadth and geographic spread

R11,1m

R10,4m

Censu

s 201

1 Res

earch

and

Meth

odolo

gy

Census 2011 Content

Development and Products

1.5.1 Census Input and Output

1.3

Empl

oym

ent,

job

crea

tion

and

dece

nt w

ork

1.5 Population dynamics

1.5.3

Health

and Vita

l stat

istics

R16,3m

1.3.

1 H

ouse

hold

Lab

our

Mar

ket S

urve

y

R4,7m

2.1.1

Survey C

oordinati

on,

Monitorin

g and Eva

luation

Survey Monitoring R3.5m

2.1 Q

uality

manag

emen

t

syste

m

Recorded Live BirthsM

ortality and Causes

of DeathR5,5m

Tourism and Migration

Time Use Survey

2. To

enhan

ce public

confid

ence

and tru

st in st

atisti

cs

Marriages and Divorces

1.9 Safety and Security

General Household Survey

R6,0

m

1.5.5 Social Analysis

1.1 Economic growth

1.2 Prices and stability

R2,5mLiving Conditions Survey

1.5.4 Household Budget

Surveys

R6,3m1.4 Life circumstances, service

delivery and poverty

Income and Expenditure

Survey

Vict

ims

of C

rime

Surv

ey

Dom

estic

Tou

rism

Sur

vey

Quarterly Labour Force Survey

Nat

iona

l Tra

nspo

rt S

urve

y

Survey Evaluation

R2,9m

Not achieved / expenditure exceeds allocation

Slipped / expenditure exceeds target by more

than 2%

Delayed / concerns / expenditure less than

target by more than 2%

On track / expenditure on target within 2% variation Achieved Late

No information received/ Planned milestone not yet

dueLegend:

R2,2m

Survey Coordination

10.3.2 Stats SA: Programme / Cluster dashboards

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71 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Programme 4: Methodology

and Standards

69%

31%

`

31%

20%

10%

11%

10%

Quality Improvem

ent UnitOperations and Maintenance

Larg

e B

usin

ess

Uni

t

Method

ologic

al Sup

port

Servic

es

for E

con

Stats

Post Enumeration Survey Pilot

Standard Maintenance

Technical Solutions

Standard

s Dev

elopmen

t

R19,0m

R10,

1m

R6,2m

R1,6m

R6,1m

2.1.2 Survey Standards

2.4.1 Business Frames

2.1.1 Methodology and Audit

2.4 Business sampling

frame development and

maintenance

2.1 Q

uality

manag

emen

t

syste

m

2. To enhance public confi-dence and trust in statistics

Programme 4 Methodology and Standards

Methodological Support Ser vices

for Soc Stats

Operations and Maintenance

Technical Solutions

Meth

odol

ogic

al S

uppo

rt Se

rvic

es

for E

con

Stat

s

Post Enumeration Survey

for Pilot Census

Standards Maintenance

Methodological Support Services

for Soc Stats

R9,8m

R29,

6mNot achieved / expenditure

exceeds allocation

Slipped / expenditure exceeds target by more than

2%

Delayed / concerns / expenditure less than target

by more than 2%

On track / expenditure on target within 2% variation Achieved Late

No information received/ Planned milestone not yet

dueLegend:

10.3.2 Stats SA: Programme / Cluster dashboards

Page 72: Presentation to ASKN workshop, Dakar Stats SA: Planning & reporting:  “Getting statisticians to plan, monitor & report” Annette  Myburgh

72 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Programme 5: Statistical

Support and Informatics

5.2.

1. S

tatis

tics

Dat

a M

anag

emen

t & T

echn

olog

y

2.7.1. Publication Services

2.3.2. Geographic Frames

2.3.1. Geographic Services

8%6%

5.2.2. DMID

R9,2m R9,6m

R19,2m

R4,6m

R5,2mR

0,7m

Geo Support research & analysis

Geo Support - Surveys

Geo S

uppo

rt - C

ensu

s

Geo D

base

& ap

plica

tion

Dire

ct D

igita

l Cap

turin

g

R7m

R15,

9m

R31,1m

R3,8m

Informal areas

(Geo Frames)

Dwelling Frame-Adressing

Formal areas

(Geo Frames)

Dwelling Frame

Admin bound, place names & EAs

R5,8m

R7,3mE

lect

roni

c P

rodu

ct

deve

lopm

ent

Prin

ting

& D

istri

butio

nR4,4m

R6,3m

R3.5

m

R1.8m

R0.7m

R5,3m

Netw

ork Managem

ent

IT Server Management

IT Security Management

Business Continuity Management

IT Service Management

Business Applications

5.2.

Info

rmat

ion

capi

tal 2.3. D

welling fram

e development and m

aintenance

2.7. Integrated communication, marketing

and stakeholder relations 2. To

Enh

ance

pub

lic c

onfid

ence

and

trust

in s

tatis

tics

5. T

o in

vest

in th

e le

arni

ng a

nd g

row

th o

f the

org

anis

atio

n

Programme 5 Statistical Support and Informatics

Multi D

is. Comp

Desig

nEditi

ng

Business M

odernisation

Centralised IT AssetsR72

m

Document M

anagement Sys

tem

Desktop Printing Services

IT Modernisation

Not achieved / expenditure exceeds allocation

Slipped / expenditure exceeds target by more than

2%

Delayed / concerns / expenditure less than target

by more than 2%

On track / expenditure on target within 2% variation Achieved Late

No information received / Planned milestones not due

yetLegend:

10.3.2 Stats SA: Programme / Cluster dashboards

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73 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Programme 6: Corporate Relations

5.2.1 Limpopo

5.2.

2 M

pum

alan

ga

5.2.3 Gauteng

5.2.4 North West

5.2.5 Free State

5.2.6 Northern

Cape

5.2.

7 Ea

ster

n C

ape

5.2.

8 W

este

rn

Cape

5.2.9 Kwa-Zulu

Natal

3.2.2Corp. Com.

3.3.1

International

Relations

3.2.1 Stakeholder Relations

5.2 Statistical Support

Services

3.

Developing and promoting statistical

coordination and partnerships

3.2 Stakeholder relations, marketing & Com.

3.3

International

Relations

5. Governance and Accountability

Corp

orat

e Co

m.

SSI

Field Operations

Corporate Services

SSIField Operations

Corporate Services

Apex support

Lateral & Donor Relations

Mar

ketin

g

Sta

keho

lder

Rel

atio

ns

SSIField O

perations

Corporate ServicesSSI

Field Ope rati ons

Corporate S

ervicesSSIFi

eld

Ope

ratio

ns

Corp

orat

e Se

rvice

s

SSIField Operations

SSI

Field Operations

Corporate Services

SSI

Corporate Services

SSI

Field OperationsC

orporate Services

Sta

ts S

A O

nlin

eU

ser I

nfor

mat

ion

Ser

vice

s

R11,1m

R6,8m

R2,2m

R4,3mR1,9mR4,7m

R27,6m

R3,7m R23,3m

R25,1m

R24,

0m

Field Operations

R31

,8m

R27

,8m

R42,7m

R26,6m

Cor

pora

te B

rand

ing

Programme 6 Corporate Relations

ISIb

aloASSD

Bench

marking

S&S

Benchmarki

ng Coord

Distric

t Offic

esCorporate Services

Not achieved / expenditure exceeds

allocation

Slipped / expenditure exceeds target by more

than 2%

Delayed / concerns / expenditure less than

target by more than 2%

On track / expenditure on target within 2% variation Achieved late

No information received / planned milestones not

due yetLegend:

R6,1m

R7,0m

10.3.2 Stats SA: Programme / Cluster dashboards

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74 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Programme 7: Survey

Operations

I

Gov

erna

nce

R5,

6m

3.2.

1 C

orpo

rate

Dat

a Pr

oces

sing

3.2

Cor

pora

te d

ata

proc

essi

ng fa

cilit

y

TUS

VoC

s

QLFS

R39,6m

3. To improve productivity and service delivery

Programme 7 Survey Operations

Not achieved / expenditure exceeds

allocation

Slipped / expenditure exceeds target by more

than 2%

Delayed / concerns / expenditure less than

target by more than 2%

On track / expenditure on target within 2%

variationAchieved late

No information received / planned

milestones not due yetLegend:

10.3.2 Stats SA: Programme / Cluster dashboards

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75 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

11. Stats SA: Management information website

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76 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

• Frameworks, processes, templates etc.

• Plans

• Integrated planned schedules

• Dashboards & integrated management information reports

• Expenditure against budget reports

• etc.

10. Stats SA : Management information website

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77 StatsSA_ASKNWorkshop_Dakar_AM_Sep2010

Questions


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