rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: Data-Driven Project Manager
    sub title: A Statistical Battle Against Project Obstacles
  name:
    name part: Vanhoucke, Mario.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 158 p. 25 illus. online resource.
  abstract: Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools. The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as "dynamic scheduling" or "integrated project management and control." It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows: Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project's time and budget objectives. Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project's time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. Project Control: Measure and analyze the project's performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process…
  table of contents: Chapter 1: Background -- Chapter 2: Plan -- Chapter 3: Risk -- Chapter 4: Buffer -- Chapter 5: Monitor -- Chapter 6: Control -- Chapter 7: Exciting Times Ahead -- Chapter 8: Afterword -- Bibliography -- .
  note: by Mario Vanhoucke.
  subject:
    topic: Project management
  subject:
    topic: Success in business
  subject:
    topic: Careers
  subject:
    topic: Leadership
  subject:
    topic: Market research
  subject:
    topic: Motivation research (Marketing)
  subject:
    topic: Project Management
  subject:
    topic: Careers in Business and Management
  subject:
    topic: Business Strategy/Leadership
  subject:
    topic: Market Research/Competitive Intelligence
  subject:
    topic: Consumer Behavior
  classification: HD69.P75
  classification: 658.404
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484234983
  identifier: https://doi.org/10.1007/978-1-4842-3498-3
  record info:
    record creation date: 180327
    record change date: 20191027042739.0
    record identifier: 978-1-4842-3498-3