Monitoring & Evaluation: The KZN ProvinceMonitoring & Evaluation: The KZN Province’’s Digital s Digital Nerve CentreNerve Centre

Rishila Moonilal & Shaun Emslie 8 September 2010

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M&E serves as a management strategy to make visible the factors, within the larger socio-economic landscape of KZN ,that can shape and influence the results of Provincial Wide interventions towards the attainment of A better life for all.A better life for all.

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Vision

Nerve Centre Vision is to provide a complete and comprehensive view of the delivery, performance and effectiveness of public services across the Province, as Provincial Government seeks to fulfill its detailed mandate through the Programme of Action by enhancing the Province’s ability to ensure that public sector goals, objectives and development outcomes are achieved through IT enabled systems driven by the Office of the Premier in partnership with SITA.

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SAS Government Intelligence Platform

Version 1.4

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KZN Provincial Nerve Centre

The Provincial Nerve Centre is a web designed tool tracking the Province's development trajectory. This trajectory is anchored using Business Intelligence and other solutions to track development information on a multilevel basisacross all spheres of Government. Nerve Centre Vision is to provide a complete and comprehensive view of the delivery, performance and effectiveness of public services across the Province, as Provincial Government seeks to fulfill its detailed mandate through the Programme of Action The Nerve Centre enhances the Province’s ability to ensure that public sector goals, objectives and development outcomes are achieved.

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Nerve Centre’s Key Objectives

Enable a single view of the Province for the Premier. This single view will transcend Departmental boundaries and break down the silo approach through shared information management;Bridge the gap between strategic objectives and the execution on these objectives, linking objectives to tangible outcomes and thereby improving service delivery.

Enable the province to quantify and measure Provincial performance and ensure that current service levels are managed and achieved; and

Provide insight into sector improvements and integration opportunities, by providing trend analysis on the operational data marts.

Measure business success by the triple bottom line of people, planet and profit

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ICT Enablers

One of the key ICT Enablers identified for this project is the implementation of Data Warehousing This project looks at the building of an infrastructure and application environment that facilitates the accessing of information This further supports the Office of the Premier’s collaborative goals of information building and information sharing with key stakeholders in the ProvinceThe development of this central repository for the Provincial Government Data as well as other data sources creates a shared platform And will support the introduction of and existing work-flow processes, provide a common search engine and enable access via a split repository for secure and open information management

KZN PROGRAMME OF ACTION : Proposed Data Architecture

SAP

Venus

RDBMS

Data SourcesEx

trac

t, Tr

ansf

orm

and

Loa

dData

Acquisition

Single view KZNPG

Meta DataRepository

Extr

act,

Tran

sfor

m a

nd L

oad

For D

ata

Mar

ts

Works

FinanceTransport

Housing

Performance Management

Application Space

Data Marts Exploration and Delivery

Subject Area

Subject Area

Data Mart Space

Data Warehouse Management

Meta Data

Ad Hoc Query & Reports

Report Delivery & Alerting

Enterprise Reporting

Statistical Analysis & Data Mining

Porta

l

Meta Data Management

Decision Maker

BusinessAnalyst

PowerUser

Property

Data Quality

Software Configuration Management & Quality Control Change Control Process

Project Management

More Technical More Business

LegacySystems

HR

Other

Supplier Relationship

Provincial Nerve Centre

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Leveraging ICT

ICT has a shared role in business processes as one of predominantly improving and enhancing quality of services, in additionE-government during the 21st Century will transform both the way in which public services are delivered and the fundamental relationship between governments, the community and citizens. ICT enabled systems driven by the Office of the Premier in partnership with SITA will extend accessibility of information within the KZN public sector through the Nerve CentreMoving Forward we envisage the ICT enablers to allow interface within the public domain especially the citizenry and, in so doing cut the impacts of 'distance' and 'time‘.

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SITA’s Role

SITA has played a significant role in the Provincial Nerve Centre as the central intermediary for the Office of the Premier

Procurement (hardware, software and services)Project ManagementHosting, maintenance and support

Ongoing planning and implementationBusiness planningFacilitating access to national and provincial data sources and databasesFacilitating access for provincial users

KZN POVERTY WATCHKZN POVERTY WATCH

Building multidimensional poverty measures Building multidimensional poverty measures using analytics (2010 using analytics (2010 –– 2014)2014)

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Nerve Centre Analysis

Specific analysis has been produced by the BI system on the Outcome Indicators derived from the Electoral Mandate expressed in the Medium Term Expenditure Framework.

A number of statistical analysis was completed on the Nerve Centre using multivariate analysis, regression and factor analysis showing multidimensional nature of poverty .

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The Ideal StateThe Poverty Eradication Model for KZN

2010

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The Ideal State - Poverty Eradication Model…

The model looks at three factors that are very useful in measuring poverty which are respectively

1 Human Development Index (HDI) which is defined as measure of a country’s development and it combines three basic measures:

Life expectancy at birth, as an index of population health and longevity

Knowledge and education, as measured by the adult literacy rate (with two-thirds weighting) and the combined primary, secondary, and tertiary gross enrollment ratio (with one-third weighting).

Standard of living, as measured by the natural logarithm of gross domestic product

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2. Gini Coefficient which is defined as a measure of statistical dispersion, which is used to measure of inequality of income distribution or inequality of wealth distribution.

a. It is defined as a ratio with values between 0 and 1, where a low Gini coefficient indicates more equal income or wealth distribution, while a high Gini coefficient indicates more unequal distribution.– 0 corresponds to perfect equality– 1 corresponds to inequality

…Poverty Eradication Model

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3. The Poverty Index scores which look at whole range of indicators and these indicators are defined in the table below.

4. Number of households that live on less than one dollar a day were used as reference point in the fight for poverty

…Poverty Eradication Model

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Main Category Sub – Category Indicators

Economic Economic

Households with No Income Unemployment Levels Dependency Ratio (Total Population / Employed) Household with Income < 1600 pm

Social

Education / Literacy

Age 5-14 with No Schooling Age 20 + with No Schooling Age 20 + with No Matric

Demographic

Population Density (Population / km²) Elderly Population (Population > 65 years) Female Population (Female Population)Youth Population (Population 5-14 years)Disability

Table 1 and Table 2 show the Current situation and Ideal Situation…

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Services

Services (Household Level)

Access to Piped Water 200m to Stand Pipe Sanitation Lighting using Electricity Telephone Refuse

Housing Informal

Social (Continued) Social Welfare

Head of Households – Child (Youth 5-19) Head of Households – Elderly (Over 65) Head of Household - Females Pension Payouts (Not Applicable – March

2005)

Main Category Sub – Category Indicators

…Table 1 and Table 2 show the Current situation and Ideal Situation

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District Households living on Less than 1 dollar a day

Human Development Index

Poverty Score Gini Coefficient State

Amajuba 31,613 0.576 236 0.63 Current

eThekwini 217,284 0.687 64 0.59 Current

iLembe 28,352 0.533 408 0.58 Current

Sisonke 43,911 0.45 572 0.57 Current

Ugu 45,160 0.526 498 0.61 Current

uMgungundlovu 60,294 0.611 441 0.62 Current

uMkhanyakude 47,006 0.414 372 0.58 Current

uMzinyathi 36,272 0.437 447 0.6 Current

uThukela 53,583 0.494 521 0.61 Current

uThungulu 44,289 0.535 453 0.64 Current

Zululand 60,371 0.441 353 0.60 Current

KZN 668,135 0.52 397 0.60 Current

Table 2 Current situation

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In KZN as per Community Survey 2007 the number of households living below the poverty line was 668,135 where it is defined as households that have no Income at all and those that have an income of less than R400 a month.For Human Development index is at an average of 0.52 for the province and the Gini Coefficient at a 0.60 and a poverty score added up to 397 for all metropolitan and districts municipalities.The Chart on the next slide shows the Gini Coefficient (Gini) in relation to the Human Development Index (HDI) and the poverty score as the depth of the situation.

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Chart 1: Current Situation

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Current Ideal

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SOCIO-ECONOMIC STANCE FOR KWAZULU-NATAL

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Methodology & Data

The analysis was derived at two levels: District and metropolitan areas and the second level included the local municipalities.

In the choosing of factors, as an example of the importance of each; population density plays an equally important role in service delivery as well dependency ratio of the particular district or local municipality.

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Methodology & Data - continued

Using factor analysis socio- economic stance was graded from low to high using the real number scale that was bounded between 1 and 10 where 1 is the lowest and 10 being the highest on some factors, and other factors having a high of 3 and 5 respectively, and out that a composite index was composed.

The Area with the highest level of socio-economic stance would have a very low score relative to that area which has high score, meaning that the socio-economic stance for the particular region is high score is worse that drastic interventions need to carried out.

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Factors

The factors and their relative scores were derived using Business Intelligence operating on the provincial Nerve Centre.Economic (focuses on Unemployment, Dependency Ratio, Household with Income < 1600 pm or Income)

Services (Access to Piped water, Sanitation, Telephone, Refuse, Lighting using Electricity)Education (Highest level of education for: Age 5 to 14 and Age 20 plus with no education, Age 20 plus no matric) Vulnerability :Pension Payouts, Heads of Household/Child, Headed households ; Female and ElderlyHousing ( Informal Housing)Demographic (Population density, Elderly, Youth and Female Population, and Disability)

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The scores for each factor and maximum score for the index are outlined in the table below.

Indicators and Categories/Factors Max Score Group Score

Economic 25

Households with No Income 5

Unemployment Levels 5

Dependency Ratio (Total Population / Employed) 10

Household with Income < 1600 pm 5

Education (Highest Level of Education) 20

Age 5-14 with No Schooling 5

Age 20 + with No Schooling 10

Age 20 + with No Matric 5

Services (Household Level) 33

Access to Piped 10

Sanitation 10

Lighting using Electricity 5

Telephone 5

Refuse 3

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Demographic 21

Population Density (Population / km²) 3

Elderly Population (Population > 65 years) 5

Female Population (Female Population) 5

Youth Population (Population 5 -14 years) 5

Disability 3

Housing 10

Informal 10

(Vulnerable Groups) 40

Head of Households - Child(Youth 5-19) 10

Head of Households - Elderly(Over 65) 10

Head of Household - Females 10

Pension Payouts 10

Total 149

The scores for each factor and maximum score for the index are outlined in the table below (Continued)

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.

Chart 1: Provincial Wide Socio-Economic StatusThe radar charts used in the analysis focus on distinguishing features of the particular district, metro and local municipality.

Chart 1, illustrated the difference in the two years of measurement(2001 and 2007). eThekwini metro showed a particularly different pattern , where it shows relatively low scores of socio-economic factors.In 2007,An identification in vulnerability, with uThungulu and Umgungundlovu districts having the greatest increase the state. Housing scores showed a decrease . Zululand District showed a decline in the economic factor based on various issues such as unemployment levels.

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Chart 2: Amajuba District

Amajuba experienced similar trends as the other districts in terms of vulnerability.Housing seems to be of importance in Amajuba .Services have not expanded significantly

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Chart 5:uMngungundlovu District

Umgungundlovu District has experienced the same trend as the rest of the province in terms of Vulnerability and service delivery and other factors showing relative stable, and Mpofana Local Municipality taking the biggest knock in terms of Vulnerability .

Issues such as education and Economic stability have show very minute changes between period 2001 to 2007.

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frenquency (monthly,daily,..)

Performance Measures

Access/ Quality/ Improvement

Monitoring and Evaluation: Poverty Watch

Set Alerts on Programs•Over Expenditure

•Project dates, timelines•Efficiency & effectiveness

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Household Profiling

1. Database of households living in extreme poverty in 750 wards across the country

2. Refer households needs to implementing agents

3. Delivery of non-negotiable services to communities & households in the 750 wards

4. Development of integrated service delivery plans for medium & long term services

5. Use of Provincial Nerve Centre for data capturing and Intervention Tracking

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Household Monitoring & Graduation

The 39+ Point System is a tool for classifying households who enter the programme and those that exit it or graduate out of poverty making it possible to prioritise and select beneficiaries for the various social programmes

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Deprivation

Income and Material

EmploymentHealth

Years of Potential Life Lost (the level of unexpected mortality weighted by the age of the individual who has died)

A. Number of economically active population who are unemployed (using official definition)B. Number of economically active population who are not working because of illness or disability

A. People in a household with household income below 40% of the mean equivalent household incomeB. People in a household without a refrigeratorC. People in a household with neither a television nor a radio

Proportion of population

experiencing income and/or material

deprivation

Involuntary exclusion of the working age population from the

world of work

Measures rates of people who die

prematurely

[People experiencing A, B or C]

[A+B]

Total ward population

(Ward population aged 15-65) + B

Education

A. Number of 18-65 year olds with no

schooling at secondary level or

above

Measures extent of education

qualifications in a local area

Living Environment

Number of people in a household A. without piped water inside their dwelling / yard B. without a pit latrine / flush toiletC. without use of electricity for lighting D. without access to a telephoneE. that is a shackF. with two or more people per room

Measures the quality of the living environment

[People experiencing A, B, C, D, E or F]

Total ward population

[People experiencing A]

Total ward populationApply age standardisation

shrinkage procedure

Index of multiple

deprivation20%

20%

20%

20%

20%

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KwaZulu-Natal

Wards ranked relative to deprivation within the province

The most highly deprived wards score as deprived on several of the domainsConcentrations of wards showing deprivation in the most deprived decile are found in the municipalities of Nkandla, Ulundi, Msinga and Nqutu.

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Quality Assurance of data collected & storing of data in central database

Service Referrals to Implementing agents

Profile Households using door to door approach and Capture Data using Hand Held Devices

NEW CYCLE: Revisit deprived wards, profile households, provide service, refer service demands to aimplementing agents, verify service delivery, monitor all processes of the system & update it.

Ongoing U

pdating on the Information M

anagement System

, M

onitoring & Evaluation, C

omm

unication & C

hange M

anagement

Delivery of Non-Negotiable Services to households & community

PlanningService Provision

Community Profiling (gaps from IDPs or new)

Verification of Services Delivered

Integrated Delivery of Services (Short 90 days, Medium 91 to 180 days, long term >6 months) Norms & Stds should be monitored + Exit strategy

Implementation

START:Institutionalise War Rooms, Ward selection, Sector norms & Stds + Exit strategy, Buy-in, Community Mobilisation, Change Agents, training of field staffIntegrated Development Plans with budgetFeasibility studies Development of business plans

END: Feedback to Households & Communities

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Flagship Program Process for Integrated Development

Deliver Service Update Referral Status

Technology and Process Support (PROVINCIAL NERVE CENTRE )

Pick-up Referrals

Line Department

Profile Household & Capture HH

data

E-solutions

Generate Referrals

NISIS

SITA

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Dashboards

Similar to the informative dashboards in modern vehicles, the Dashboards provide important indications and vital signs of the health and performance of the enterprise. For the Premier, and then downwards through and across organisational and information hierarchies, Dashboards and Scorecards will provide graphic quick-views of the state of the Province

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Outcome Reporting Solution

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GIS/Spatial Representation

Typically, dashboard views of geographic related data is translated into an area map of the information being reported, providing the user with a “real life”perspective of the information is being viewed.

This spatial perspective significantly aids the visual interpretation of information across a geographic spread for comparison purposes. Spatial data available is stored in the data warehouse for such purposes

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Provincial Nerve Centre Outlook (2010 -2014)

1. Emphasis on Accountable delivery 2. Knowledge Based approaches dependent on change behavior,

attitudes and skill 3. An improved credible data architecture interconnecting local, Provincial

& National sphere using shared service concept 4. Establishing competency centres linked to war rooms at ward level5. Linking planning, monitoring & coordination 6. Improved public accountability through Citizen interactions making

citizen scorecard a robust instrument

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Public Public Accountability Through MeasurementAccountability Through Measurement