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Quality Management in Data Processing for Census

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Title: Quality Management in Data Processing for Census


1
Quality Managementin Data Processing for Census
  • Presented by Mr. Dominic K T LEUNG
  • Deputy Commissioner
  • Census and Statistics Department
  • 20th September 2006
  • Hong Kong, China

2
Agenda
  • Quality Management Steer from Top
  • Quality Assurance in System Development
  • Data Quality Assurance in Data Processing
  • End-user Participation an Important Ingredient
  • Hardware, Software and Service Acquisition an
    Important Area

3
Quality Management Steer from Top(Overview of
Section A)
  • What is Quality Management?
  • Why Need a Project Management Methodology?
  • PRINCE
  • What is PRINCE?
  • Components of PRINCE
  • Organization
  • Planning
  • Control

4
Quality Management Steer from Top
  • What is Quality Management?
  • The philosophy
  • mistake should be prevented rather than detected
  • fulfill the stakeholders expectations
  • Quality Planning
  • proper project management structure
  • clear definitions of roles and responsibilities
  • determine what quality standards should be
    adopted
  • need to be set right at the beginning
  • end result is a Quality Plan
  • Quality Assurance
  • planned and systematic quality activities to
    monitor the project
  • provide the confidence that the project will meet
    the standards
  • Quality Check
  • measure specific project results to determine
    that the results match the standards

5
Quality Management Steer from Top
  • Why Need a Project Management Methodology?
  • To define the project organization
  • To reach consensus among all relevant parties
    about
  • Why the project is needed?
  • What the project is intended to achieve?
  • How, where and when the parties are going to
    participate?
  • To provide a framework for Quality Management
  • To overcome some common mistakes like
  • Inadequate planning and co-ordination of
    resources, activities, and scheduling
  • Poor communication among interested parties
  • Under-estimation of project costs and duration
  • Lack of control over progress
  • Lack of quality control

6
Quality Management Steer from Top
  • What is PRINCE?
  • short for PRojects IN Controlled Environments
  • established in 1989 by CCTA (the Central Computer
    and Telecommunications Agency) in UK, later
    renamed as the OGC (the Office of Government
    Commerce)
  • structured method for effective project
    management
  • widely used in both public and private sectors
  • define the activities to be carried out for
    project organization, planning, risk management
    and control
  • balance and optimize among Function, Time,
    Resource, Quality, and Risk

7
Quality Management Steer from Top
  • Components of PRINCE Organization
  • The organization usually composes of three parts,
    namely the Project Steering Committee (PSC), the
    Project Assurance (PA) Group and the Project
    Manager (PM).
  • PSC usually consists of Executive, Senior User
    and Senior Technical
  • PA Group usually consists of Business Assurance
    Coordinator, User Assurance Coordinator and
    Technical Assurance Coordinator
  • The PM, to whom all other team members report, is
    responsible for the timely production of all
    end-products to the agreed quality standards
    within the tolerances of time and cost set by the
    PSC
  • The role and responsibilities of each member in
    the organization should be clearly defined in the
    Project Initiation Document

Project Steering Committee (PSC)
Senior User
Executive
Senior Technical
Project Assurance (PA) Group
Project Manager (PM)
Team Leader
Project Team
8
Quality Management Steer from Top
  • Components of PRINCE Planning
  • The concept of 'Staging' is recommended. A
    project should be divided into stages to
    facilitate project management and control
  • It provides senior management the opportunities
    to assess the project progress and business case
    at the stage boundaries.
  • It also enables more realistic estimates for each
    stage
  • Product-based Planning is introduced. It
    encourages planning the products first and then
    the activities
  • It ensures that the derived activities will
    directly contribute to the development of the
    products
  • The project manager should plan on project level
    for Project Steering Committee to oversee the
    project and he / she should plan on detailed
    stage level for his / her day-to-day control

9
Quality Management Steer from Top
  • Components of PRINCE Control
  • Management by Exception the principle
  • During a project stage, the Project Steering
    Committee delegates the day-to-day project
    management responsibilities to the Project
    Manager with 'Tolerance'
  • The Project Steering Committee exercises control
    on project only when there is Exception (has
    exceeded or is anticipated to exceed the
    tolerance)
  • Quality Management the elements
  • Inclusion of Quality Plan (detailing related
    guidelines/ standards, quality criteria and
    quality checking method) devised at the project
    initiation
  • Conduct of Quality Assurance Review at different
    stages to look for positive evidence that the
    product meets its specifications and quality
    criteria

10
Quality Management Steer from Top
  • Components of PRINCE Control
  • Control Meetings
  • Project Steering Committee Meeting held by
    Project Steering Committee (event driven or time
    driven at project initiation, end-stages, project
    closure)
  • Checkpoint Review held by Project Manager
    (regular and time driven)
  • Management of Risk
  • Management of Configuration/Change

11
Agenda
  • Quality Management Steer from Top
  • Quality Assurance in System Development
  • Data Quality Assurance in Data Processing
  • End-user Participation an Important Ingredient
  • Hardware, Software and Service Acquisition an
    Important Area

12
Quality Assurance in System Development(Overview
of Section B)
  • Adoption of Standard Methodologies
  • SSADM in Practice
  • Major Quality Assurance Related Activities in
    SSADM
  • Formal Quality Review

13
Quality Assurance in System Development
  • Adoption of Standard Methodologies
  • give clear specification of what is to be
    produced and how it is to be managed and reviewed
  • visualize users' business objectives/activities
    and needs by continuously involving users with
    standard modeling techniques
  • promote better quality management by detecting
    errors early in the lifecycle, especially by
    involving users as well as skilled practitioners
    in checking for errors
  • separate logical system specification and
    physical design to enable portability and re-use
    of application
  • leverage useful automation tools for productivity
    gain
  • transfer expertise to practitioners including
    business and IT managements and users

14
Quality Assurance in System Development
  • SSADM in Practice
  • Structured Systems Analysis and Design
    Methodology (SSADM) is established in 1981 by
    CCTA (Central Computing and Telecommunications
    Agency) in UK
  • covering the Feasibility Study Phase, System
    Analysis and Design Phase, Implementation Phase
    of the System Development Life Cycle (SDLC)
  • an integrated set of standards and guides for the
    analysis and design of computer systems
    consisting of
  • Structural standards, which define tasks
    explicitly, with clearly defined interfaces
    between them, and clearly defined tangible
    products
  • Technique guides, which provide a set of proven
    techniques and tools, and detailed rules and
    guidelines on when and how to use them
  • Documentation standards, which provide the means
    of recording the products of development activity
    at a detailed level

15
Quality Assurance in System Development
  • Major Quality Assurance Related Activities in
    SSADM
  • Define existing environment, business system
    option, functional and non-functional
    requirements (such as response time, capacity,
    security, contingency measures, etc), technical
    system option, logical design, and physical
    design, in both feasibility study and system
    analysis design stages
  • The deliverables will be produced and accepted
    through series of discussions between developers
    and end-users so as to ensure the end-product is
    what the business requires
  • Specify various acceptance tests in
    implementation stage such as Unit Test, System
    Test, Integration Test, Load Test, User
    Acceptance Test, etc

16
Quality Assurance in System Development
  • Formal Quality Assurance Review
  • In accordance with PRINCE, a quality plan will be
    prepared which incorporates the quality checking
    mechanism, acceptance criteria, relevant
    guidelines standards, and frequency of review
  • Ensure that the deliverables are complete,
    accurate, adhering to specified guidelines
    standards, properly documented, fully tested and
    that all user requirements are fully satisfied

17
Agenda
  • Quality Management Steer from Top
  • Quality Assurance in System Development
  • Data Quality Assurance in Data Processing
  • End-user Participation an Important Ingredient
  • Hardware, Software and Service Acquisition an
    Important Area

18
Data Quality Assurance in Data Processing(Overvie
w of Section C)
  • Objectives of Data Quality
  • Data Quality Control in various Operation Stages

19
Data Quality Assurance in Data Processing
  • Objectives of Data Quality
  • Utility via extensive user consultation (defining
    data topics) to ensure that the information
    disseminated to the public shall be useful to its
    intended users
  • Objectivity via both systematic and
    disproportionate sampling techniques, validation
    imputation rules, suite of quality check
    mechanisms employed in data collection, capturing
    processing steps, thorough system tests to
    ensure that the information is accurate, clear,
    complete, and unbiased manner
  • Integrity via printed publication, softcopy media
    and well-protected dissemination system
    safeguarded from improper access, modification,
    or destruction

20
Data Quality Assurance in Data Processing
  • Data Quality Control in various Operation Stages
  • Computer sub-systems are built with quality check
    features to monitor and control the operation in
    the following stages
  • Data Collection Stage (enumerators)
  • Data Capturing Stage (Intelligent Character
    Recognition/Optical Mark Recognition capturing
    service contractors)
  • Data Coding Stage (computer-aided coding
    temporary staff)
  • Data Editing Stage (data editing temporary staff)

21
Agenda
  • Quality Management Steer from Top
  • Quality Assurance in System Development
  • Data Quality Assurance in Data Processing
  • End-user Participation an Important Ingredient
  • Hardware, Software and Service Acquisition an
    Important Area

22
End-user Participation an Important Ingredient
(Overview of Section D)
  • Management Structure
  • Feasibility Study and System Analysis Design
  • System Implementation

23
End-user Participation an Important Ingredient
  • Management Structure
  • Clear understanding of roles and responsibilities
  • Delegation of authorities
  • Represent the user community
  • Committed to the project and own the project
  • Team building
  • Close communication among concerned parties
  • Positive to change arising from project
    implementation

24
End-user Participation an Important Ingredient
  • Feasibility Study and System Analysis Design
  • Define realistic project schedule
  • Assist system developers to identify and
    understand current environment
  • Explore business re-engineering possibility
  • Prepare user requirements
  • Provide feedback on the system design
  • Extensive discussions/workshops between users and
    developers
  • Build prototype where necessary
  • Review deliverables to ascertain the final
    product is what the business needs

25
End-user Participation an Important Ingredient
  • System Implementation
  • Prepare system test plan
  • Prepare system test cases and data
  • Conduct various system acceptance tests
  • Prepare various documentation and guidelines
  • Arrange training
  • Perform data migration

26
Agenda
  • Quality Management Steer from Top
  • Quality Assurance in System Development
  • Data Quality Assurance in Data Processing
  • End-user Participation an Important Ingredient
  • Hardware, Software and Service Acquisition an
    Important Area

27
Hardware, Software and Service Acquisition an
Important Area (Overview of Section E)
  • Alternatives in Product/Service Acquisition
  • Considerations in Specifying User Requirements
  • Challenges in Managing Outsourcing

28
Hardware, Software and Service Acquisition an
Important Area
  • Alternatives in Product/Service Acquisition
  • Outsourcing, Package Solution or Custom-built
    Application
  • Allow focus on core services
  • Increase the flexibility in service delivery
  • Improve service quality and output
  • Cost consideration
  • Make up for staff shortage
  • Risk diversification
  • Unavailability of required services in-house
  • Access to information, technology, skills
    expertise
  • Challenges in managing outsourcing

29
Hardware, Software and Service Acquisition an
Important Area
  • Considerations in Specifying User Requirements
  • User-friendliness
  • Training requirements
  • Data migration effort
  • Inter-operability
  • Open standard
  • Occupation Safety
  • Environment friendly
  • Infrastructure constraint
  • Maturity of product
  • Product life cycle
  • Local technical support
  • Re-usability
  • Scalability
  • Capacity limit
  • Financial implication

30
Hardware, Software and Service Acquisition an
Important Area
  • Challenges in Managing Outsourcing
  • Project Management
  • Performance Management
  • Risk Management
  • Change Management
  • Expectation/ Service Level Agreements
  • Project Ownership and Accountability
  • Communication
  • Skill Transfer
  • In-house Pressure
  • Selection of Right Service Provider

31
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