Public Management Watch (PMW)

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Public Management Watch (PMW) 9 June 2006

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Public Management Watch (PMW). 9 June 2006. Public Management Watch - Aim/Purpose. To be able to preempt the deterioration in management within national and provincial government in order to intervene if necessary. Public Management Watch. Statistical analysis Oversight Departments. - PowerPoint PPT Presentation

Transcript of Public Management Watch (PMW)

Page 1: Public Management Watch (PMW)

Public Management Watch (PMW)

9 June 2006

Page 2: Public Management Watch (PMW)

Public Management Watch - Aim/Purpose

• To be able to preempt the deterioration in management within national and provincial government in order to intervene if necessary.

Page 3: Public Management Watch (PMW)

Public Management Watch

Statistical analysis Oversight Departments

Communication to dept’sSelf-assessment

Re assessment based on feedback and updated info

Qualitative analysis

into department

Need for

intervention assessed

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TurnoverProfessionals & Managers

•Weight 5%•Parameters 7 – 13%•Average 11,07%

Total•Weight 5%•Parameters 7 – 13%•Average 8,38%

Indicates• Inability to retain staff • Turnover is not just affected by the salaries but also work environment.

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Replacement RateProfessionals & Managers

•Weight 7%•Parameters 90 – 70%•Average 141%

Total•Weight 6%•Parameters 90 - 70%•Average 125%

Indicates• Inability to recruit HR Resources. • Departmental restructuring

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VacanciesProfessionals & Managers

•Weight 8%•Parameters 20 – 35%•Average 35%

Total•Weight 5%•Parameters 20 - 35%•Average 21%

Indicates• Inability to recruit HR Resources – Supply, administratively. • Read with the spending on compensation of employees

• Underfunding• Unreliable structure• Inaccurate data

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Period of vacanciesWeight 8%

Parameters 6 – 9 monthsAverage 14.9 months

Indicates• Inability to recruit HR Resources – Supply, administratively. • Read with the spending on compensation of employees

• Underfunding• Unreliable structure• Inacurate data

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% of posts filled additional to the establishmentWeight 8%Parameters 4 – 10%Average 4%

Indicates• Unreliable structure does not cater for all the mandates of the department

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% of posts filled out of adjustmentWeight 8%Parameters 10 – 20%Average 11,3%

Indicates• Misalignment between posts and employees – unreliable structure• Remainder from old rank and leg promotions

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Average days vacation leave creditsWeight 9%Parameters Depending of the time within the cycleAverage Depending of the time within the cycle

Indicates• A high number of credits generally/usually reflects poor administration of leave

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Average days sick leave creditsWeight 8%Parameters Depending of the time within the cycleAverage Depending of the time within the cycle

Indicates• A high number of credits usually/generally reflects poor administration of leave• A high usage of sick leave could also indicate problems within the working environment

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% of service terminations backdatedWeight 5%Parameters 8 – 18%Average 12%

Indicates• Generally/usually indicates poor workflow/administration within a department

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Average period of terminations backdatedWeight 5%Parameters 2 – 3 monthsAverage 3,11 months

Indicates• Generally/usually indicates poor workflow/administration within a department

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% of budget on compensation of employees spentWeight 8%Parameters -5 to 5%

Indicates• Indicates the funds available for the filling of vacancies

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% of budget on goods and services spentWeight 5%Parameters -5 to 5%Average

Indicates• Ability of the department to control and spend their funding for goods and services

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% of budget on capital spend (only at the end of the financial year)

Indicates• Ability of the department to control and spend their funding for capital goods

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Statistical analysis - Scoring

• Indicators weighted – Relevance is determined in relation to each other

• Levels of acceptability determined – what is acceptable and what is unacceptable

• Score calculated – scoring based on weight and levels• Departments rated based on scores

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Statistical analysis – In-depth information

• Top 10-15 departments selected based on scores

• In-depth analysis based on: (comparison with sector & province)

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Analysis by working group

• Composition of working group– DPSA, Nat Treasury, Presidency, DPLG– National oversight dept’s (where relevant)

• Education, Health, Social Development

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Public Management Watch

Statistical analysis Oversight Departments

Communication to dept’sSelf-assessment

Re assessment based on feedback and updated info

Qualitative analysis

into department

Need for

intervention assessed

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Self-assessment

• Areas to investigate– Information/data– Administration– Management– Impact on service delivery – Assessment framework

developed– Identify best practice department (over time) to assist

if required

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Public Management Watch

Statistical analysis Oversight Departments

Communication to dept’sSelf-assessment

Re assessment based on feedback and updated info

Need for

intervention assessed

Qualitative analysis

into department

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Public Management Watch

Statistical analysis Oversight Departments

Communication to dept’sSelf-assessment

Re assessment based on feedback and updated info

Qualitative analysis

into department

Need for

intervention assessed

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Investigation approach

• Team – DPSA, NT & Oversight dept’s• Pre-investigation info gathering• Briefing of department• Analytical framework are being developed by DPSA to

identify those factors that influence the effective utilisation of human resources

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Public Management Watch

Statistical analysis Oversight Departments

Communication to dept’sSelf-assessment

Re assessment based on feedback and updated info

Need for

intervention assessed

Qualitative analysis

into department

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Intervention

• PMW would attempt to link up departments that have proven track record of best practice in specific areas with departments in need of assistance

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Thank you