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Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties UN Statistical Commission Seminar, 23 February 2007 Heli Jeskanen-Sundström

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Page 1: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

Needs for changes and adjusting to them in the management of statistical systems

Panel discussion Prospects and Risks for the Future: How to manage uncertainties UN Statistical Commission Seminar, 23 February 2007Heli Jeskanen-Sundström

Page 2: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

23.2.2007 2Heli Jeskanen-Sundström

Steps towards more efficient and effective management of the national statistical systems

Know your ”business” environment and its changes Identify the needs and risks Formulate the vision and strategies Manage the change Evaluate and assess the results Make conclusions, learn from experience, make changes

and try again

(=> private business has developed many good management tools)

Page 3: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

23.2.2007 3Heli Jeskanen-Sundström

EFQMFocus

GoalsPlansMeasures

TargetsMeasuresResourcesResults,outcome

SELFASSESSMENT

CONTINUOUS INFORMATION ON OPERATING ENVIRONMENT

FORMULATE STRATEGIES

MANAGE THECHANGE

MANAGE THE PERFORMANCE

Needs for reacting

BSC

Page 4: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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Role of information in risk management

Good information systems are needed to support risk management, we need to have

constant flow of relevant information on our “business” environment and its changes

systems and mechanisms (and people) to handle, structure and analyse information

systems to share information and knowledge - even weak signals - among the people in our statistical systems

strong management involvement in process, incl. discussions, conclusions and decision making

Page 5: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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Where to get relevant information?

Internal information sources of the NSI’s (e.g. economic and personnel accounts; customer data bases; travel, meeting and project reports, Strategic Intelligence systems)

External sources (web sites and reports of the relevant national and international organisations, networking with users and stakeholders, feed-back systems)

Benchmarking reports, peer reviews, quality evaluations (like IMF’s ROSC, EU’s Code of Practice peer reviews and other analysis, OECD’s reports, World Bank reports, bilateral benchmarking, quality assessments)

Page 6: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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Feedback systems of Statistics Finland

Survey or system Target Frequency

Personnel Survey Personnel Annual

VIP Corporate Image Survey Decision-makers Annual

Corporate Communications Survey

Media, editors and reporters Annual

Public Image Survey Ordinary people Every two years

Customer Satisfaction Survey Paying customers Every two years

Media monitoring Mass media, stakeholders Continuous

Anonymous feedback channel ANOPPI on the Internet

Data users and other stakeholders

Continuous

Page 7: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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TQM frameworks help in risk management

TQM frameworks - like EFQM - can be used to assess activities and performance of own organisationto build up quality management systemsto identify and to evaluate risks in a balanced wayto assess the priorities of development work

EFQM = European Foundation of Quality Management, established in 1988. It maintains an updated version of quality management framework which is focused on continuous development of activities and on measurement of achievements.

Page 8: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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FUNDAMENTAL CONCEPTS OF EXCELLENCE (EFQM)

Results Orientation

Customer Focus

Leadership and Constancy of Purpose

Management by Processes and Facts

Continuous Learning, Innovation and Improvement

People Development and Involvement

Partnership Development

Corporate Social Responsibility

Page 9: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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Enablers Results

3. People

2. Policy and Strategy

4. Partnerships and Resources

1. Leadership 5. Processes

7. People Results

6. Customer Results

8. Society Results

9. Key Performance Results

INNOVATION AND LEARNING

The ”Enablers” criteria cover what the organisation does.

The ”Results” criteria cover what the organisation achieves.

EFQM EXCELLENCE MODEL

Page 10: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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Why did we participate in the quality competition?

To know ”how good our organisation actually is” – the yardstick is the framework and assessment model of management widely used in Europe (EFQM)

Exhaustive feedback report of a team of experienced assessors of the organisation’s strengths and areas for improvement

The team of assessors supports the organisation’s development with its external knowledge and perspective through an input of approximately 80 working days

Gives the organisation a common goal and objective Opportunity to compare the assessment profile against those of top

organisations in Finland and Europe The award is highly appreciated and organisations scoring over 400

points are entitled to apply to the EFQM Recognised for Excellence level

Page 11: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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At the same time the quality award application Draws a comprehensive description of the way Statistics Finland

operates “Lays all cards on the table” Process has been an extremely useful exercise in itself, “best

investment ever done”, a huge learning opportunity Tool for management, tool for assessment, tool for improvement Tool for learning and learning from others Promotes uniformity within Statistics Finland

Page 12: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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Contents of the application Overview 1. Leadership 2. Strategy and policy 3. People 4. Partnerships and resources 5. Processes 6. Customer results 7. People results 8. Society results 9. Key performance results Glossary of terms and abbreviations

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Chapter 1: Leadership

How do leaders give direction to activity and inspire changes to approaches

How do leaders develop the organisation and its management system

How do leaders interact with external stakeholders How do leaders reinforce a culture of excellence How do leaders identify needs for change and champion

organisational changes

Page 14: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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Chapter 2: Strategy and mission

How are strategy and mission based on the needs of stakeholders

How are strategies based on the organisation’s internal information and learning

How is strategy developed, reviewed and updated How is strategy deployed through processes How is strategy communicated

Page 15: Needs for changes and adjusting to them in the management of statistical systems Panel discussion Prospects and Risks for the Future: How to manage uncertainties

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Chapter 3: People

How are people resources planned, managed and improved

How are people’s knowledge and competencies identified, developed and sustained

How are people involved and empowered How is dialogue maintained in the organisation How are people rewarded How is people’s well-being cared for

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Chapter 4: Partnerships and resources

How are external partnerships managed How are finances managed How are buildings, equipment and materials managed How is technology managed How are information and knowledge managed

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Chapter 5: Processes

How are processes designed and managed How are processes improved systematically and to satisfy

customer needs How are products and services designed based on

customer needs How are product and services produced, delivered and

serviced How are customer relationships managed and enhanced

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The competition process Self-evaluations were done in 1998, 2002 and 2005 Decision of participating in the national quality award competition

in 2006 was done in autumn 2004 Application was submitted on 27 April 2006. Structure of the

application is strictly defined (activities are described in accordance with the EFQM Excellence Model, 75 pages).

Applications was assessed by teams of six independent assessors (summer 2006)

A team of assessors visited Statistics Finland (August 2006) The team provided us with a detailed feedback report expressing

their views on our strengths and improvement areas (Oct 2006) Lessons learned are used in our ongoing and future work

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Steps towards quality

– 1996

Strategic Intelligence (SI) system Personnel 2010 Operating Strategy 2003Projects are launched for development of leadership and supervisory work, andcustomer relations management Systematic training of Quality Managers starts

2000

1998

1999

2001

2002

2003

2004

2005

2006

1997

Quality project Senior Adviser responsible for quality mattersCustomer satisfaction surveys (1992) Personal appraisals start (1992) Code of Professional Conduct (1993)

Project guidelines (version one) Study on development of Statistics Finland's customer processSteering and support group on quality Exhaustive usage of personal appraisals

Quality award self-assessment Self-evaluations Key corporate membership of Excellence FinlandMission Vision Values Review of strategy BSC Personnel survey

Customer management information system APPLIX Customer feedback systemAdoption of BSC in performance measurement

EFQM evaluator training

Competence strategy Databank for systems development (SYSRAK)Describing of processes startsQuality Declaration of the European Statistical System

Quality Guidelines for Official Statistics EU working group on Leadership on Quality

EFQM self-assessment Handbook of Quality Guidelines for Official StatisticsStatistics Finland Guidelines on Professional EthicsCustomer service principles

Production model project is launched

Databank of project work Quality Manager networkOSF quality criteria Productivity 2010

EFQM self-assessment Competition for internal quality awardProcess mapManagement policy

Quality award applicationAuditing of statistics starts

Anonymous feedback system ANOPPI

Code of Practice of the European Statistical System

TQM

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Determine the Results that are aimed for

Plan and develop an Approach

Deploy the approach in

practice

Assess and Review the approach and its

deployment

The RADAR model